Pull request #4483 updated Connecting to https://api.github.com using dgl-bot-personal-access-key220906 Connecting to https://api.github.com to check permissions of obtain list of BarclayII for dmlc/dgl Obtained Jenkinsfile from a795f5207080927e4acec344334b8b2775e45e3d+e296c468b2962339fdc94300e41608dc82508e3d (84569669581eeca3bc5fed11a820670057dceb0c) [Pipeline] Start of Pipeline [Pipeline] node Running on dgl-manual-cpu-worker in /home/ubuntu/jenkins_new/workspace/dgl_PR-4483@2 [Pipeline] { [Pipeline] stage [Pipeline] { (Declarative: Checkout SCM) [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" First time build. Skipping changelog. Cleaning workspace > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_new/workspace/dgl_PR-4483@2/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-list --no-walk edfe76fef221682d3790e6bddfca94113e101cc9 # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] } [Pipeline] // stage [Pipeline] withEnv [Pipeline] { [Pipeline] stage [Pipeline] { (Authentication) [Pipeline] node Running on dgci-worker-permanent in /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.25.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-lint Using default tag: latest latest: Pulling from dgllib/dgl-ci-lint Digest: sha256:11b87b4425630143a2560fe6ad584f245ee0a86bc58b40cda3c2be93656b0d5e Status: Image is up to date for dgllib/dgl-ci-lint:latest docker.io/dgllib/dgl-ci-lint:latest [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-lint . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgci-worker-permanent does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483 -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483:rw,z -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483@tmp:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top c9372eca897708a566174966181f5d240769e2ec0d7e55de08e6a8c936945930 -eo pid,comm [Pipeline] { [Pipeline] script [Pipeline] { [Pipeline] } [Pipeline] // script [Pipeline] } $ docker stop --time=1 c9372eca897708a566174966181f5d240769e2ec0d7e55de08e6a8c936945930 $ docker rm -f c9372eca897708a566174966181f5d240769e2ec0d7e55de08e6a8c936945930 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (AuthenticationComment) [Pipeline] node Running on dgci-worker-permanent in /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.25.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker pull dgllib/dgl-ci-lint Using default tag: latest latest: Pulling from dgllib/dgl-ci-lint Digest: sha256:11b87b4425630143a2560fe6ad584f245ee0a86bc58b40cda3c2be93656b0d5e Status: Image is up to date for dgllib/dgl-ci-lint:latest docker.io/dgllib/dgl-ci-lint:latest [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-lint . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgci-worker-permanent does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483 -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483:rw,z -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483@tmp:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top b3da4a8d36d3c4d21bc863669784b39a4a0cfcea1535c2d51072b5e1cac69933 -eo pid,comm [Pipeline] { [Pipeline] } $ docker stop --time=1 b3da4a8d36d3c4d21bc863669784b39a4a0cfcea1535c2d51072b5e1cac69933 $ docker rm -f b3da4a8d36d3c4d21bc863669784b39a4a0cfcea1535c2d51072b5e1cac69933 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node Stage "AuthenticationComment" skipped due to when conditional [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Regression Test) [Pipeline] node Running on dgci-worker-permanent in /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.25.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker pull dgllib/dgl-ci-lint Using default tag: latest latest: Pulling from dgllib/dgl-ci-lint Digest: sha256:11b87b4425630143a2560fe6ad584f245ee0a86bc58b40cda3c2be93656b0d5e Status: Image is up to date for dgllib/dgl-ci-lint:latest docker.io/dgllib/dgl-ci-lint:latest [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-lint . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgci-worker-permanent does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483 -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483:rw,z -v /home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483@tmp:/home/ubuntu/jenkins_benchmark/workspace/dgl_PR-4483@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top 15e718dbde6429feafe0fc7c6aa32b3e0ec208999410ae3d5f917a7d2c2cc99a -eo pid,comm [Pipeline] { [Pipeline] } $ docker stop --time=1 15e718dbde6429feafe0fc7c6aa32b3e0ec208999410ae3d5f917a7d2c2cc99a $ docker rm -f 15e718dbde6429feafe0fc7c6aa32b3e0ec208999410ae3d5f917a7d2c2cc99a [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node Stage "Regression Test" skipped due to when conditional [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (CI) [Pipeline] stage [Pipeline] { (Lint Check) [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4483@5 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4483@5 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker pull dgllib/dgl-ci-lint Using default tag: latest latest: Pulling from dgllib/dgl-ci-lint Digest: sha256:11b87b4425630143a2560fe6ad584f245ee0a86bc58b40cda3c2be93656b0d5e Status: Image is up to date for dgllib/dgl-ci-lint:latest docker.io/dgllib/dgl-ci-lint:latest [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-lint . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4483@5 -v /root/jenkins/workspace/dgl_PR-4483@5:/root/jenkins/workspace/dgl_PR-4483@5:rw,z -v /root/jenkins/workspace/dgl_PR-4483@5@tmp:/root/jenkins/workspace/dgl_PR-4483@5@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top 8140ae8010f95ddf15150c2ed4fe90cbe1e5c1fac829064d55ee3f4a0b116c8b -eo pid,comm [Pipeline] { [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dgl_sparse dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@701c79a7; decorates RemoteLauncher[hudson.remoting.Channel@653504b6:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483@5/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/pcg'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] sh + bash tests/scripts/task_lint.sh Checking code style of C++ codes... =====114/114 cpp-header files passed check===== =====178/178 cpp-source files passed check===== All passed! =====11/11 cpp-header files passed check===== =====11/11 cpp-source files passed check===== All passed! Checking code style of python codes... Report ====== 19672 statements analysed. Statistics by type ------------------ +---------+-------+-----------+-----------+------------+---------+ |type |number |old number |difference |%documented |%badname | +=========+=======+===========+===========+============+=========+ |module |248 |NC |NC |100.00 |0.00 | +---------+-------+-----------+-----------+------------+---------+ |class |331 |NC |NC |99.70 |1.21 | +---------+-------+-----------+-----------+------------+---------+ |method |1499 |NC |NC |99.60 |0.47 | +---------+-------+-----------+-----------+------------+---------+ |function |723 |NC |NC |100.00 |1.11 | +---------+-------+-----------+-----------+------------+---------+ External dependencies --------------------- :: dgl (dgl.distgnn.tools.tools) \-_api_internal (dgl._ffi.object) \-_ffi | \-_ctypes | | \-function (dgl._ffi.function) | | \-ndarray (dgl._ffi._ctypes.function) | | \-object (dgl._ffi._ctypes.function) | | \-types (dgl._ffi._ctypes.object) | \-base (dgl._ffi._ctypes.object) | \-function (dgl.transforms.functional) | \-libinfo (dgl.sparse) | \-ndarray (dgl.distributed.shared_mem_utils) | \-object (dgl.distributed.rpc) | \-object_generic (dgl._ffi._ctypes.object) | \-runtime_ctypes (dgl._ffi._ctypes.ndarray) | \-streams (dgl.heterograph_index) \-_sparse_ops (dgl.distgnn.partition.libra_partition) \-backend (dgl.transforms.functional) | \-pytorch (dgl.nn.pytorch.sparse_emb) \-base (dgl.transforms.functional) \-batch (dgl.transforms.functional) \-convert (dgl.transforms.functional) \-core (dgl.heterograph) \-data | \-utils (dgl.distgnn.tools.tools) \-dataloading | \-base (dgl.dataloading.cluster_gcn) \-distributed (dgl.dataloading.dataloader) | \-constants (dgl.distributed.dist_context) | \-dist_context (dgl.distributed.dist_tensor) | \-dist_tensor (dgl.distributed.optim.pytorch.sparse_optim) | \-graph_partition_book (dgl.distributed.optim.pytorch.sparse_optim) | \-id_map (dgl.distributed.graph_partition_book) | \-kvstore (dgl.distributed.dist_tensor) | \-nn | | \-pytorch (dgl.distributed.optim.pytorch.sparse_optim) | \-optim | | \-pytorch | | \-utils (dgl.distributed.optim.pytorch.sparse_optim) | \-role (dgl.distributed.dist_tensor) | \-rpc (dgl.distributed.dist_tensor) | \-shared_mem_utils (dgl.distributed.dist_graph) | \-standalone_kvstore (dgl.distributed.kvstore) \-frame (dgl.transforms.functional) \-function (dgl.transforms.functional) | \-base (dgl.function.message) \-geometry | \-capi (dgl.geometry.fps) \-graph_index (dgl.heterograph) \-heterograph (dgl.transforms.functional) \-heterograph_index (dgl.transforms.functional) \-init (dgl.frame) \-mock_sparse | \-diag_matrix (dgl.mock_sparse.elementwise_op_sp) | \-sp_matrix (dgl.mock_sparse.elementwise_op_sp) \-multiprocessing (dgl.dataloading.dataloader) \-ndarray (dgl.transforms.functional) \-nn | \-functional (dgl.nn.tensorflow.conv.gatconv) | \-mxnet | | \-utils (dgl.nn.mxnet.conv.relgraphconv) | \-pytorch (dgl.optim.pytorch.sparse_optim) | | \-conv | | | \-graphconv (dgl.nn.pytorch.conv.tagconv) | | \-linear (dgl.nn.pytorch.conv.hgtconv) | | \-softmax (dgl.nn.pytorch.conv.hgtconv) | | \-utils (dgl.nn.pytorch.conv.gatconv) | \-tensorflow | \-utils (dgl.nn.tensorflow.conv.gatconv) \-ops (dgl.mpops.edgewise) \-partition (dgl.transforms.functional) \-random (dgl.distributed.partition) \-readout (dgl.nn.tensorflow.glob) \-sampling (dgl.distributed.graph_services) | \-neighbor (dgl.transforms.functional) | \-utils (dgl.sampling.labor) \-sparse | \-diag_matrix (dgl.sparse.elementwise_op_sp) | \-sparse_matrix (dgl.sparse.sddmm) \-storages (dgl.dataloading.dataloader) | \-base (dgl.storages.numpy) \-subgraph (dgl.transforms.functional) \-transforms (dgl.distributed.dist_graph) | \-functional (dgl.transforms.module) \-traversal (dgl.propagate) \-udf (dgl.core) \-utils (dgl.transforms.functional) | \-checks (dgl.utils.data) \-view (dgl.heterograph) Raw metrics ----------- +----------+-------+------+---------+-----------+ |type |number |% |previous |difference | +==========+=======+======+=========+===========+ |code |26581 |35.78 |NC |NC | +----------+-------+------+---------+-----------+ |docstring |40213 |54.13 |NC |NC | +----------+-------+------+---------+-----------+ |comment |2027 |2.73 |NC |NC | +----------+-------+------+---------+-----------+ |empty |5470 |7.36 |NC |NC | +----------+-------+------+---------+-----------+ Duplication ----------- +-------------------------+------+---------+-----------+ | |now |previous |difference | +=========================+======+=========+===========+ |nb duplicated lines |0 |NC |NC | +-------------------------+------+---------+-----------+ |percent duplicated lines |0.000 |NC |NC | +-------------------------+------+---------+-----------+ Messages by category -------------------- +-----------+-------+---------+-----------+ |type |number |previous |difference | +===========+=======+=========+===========+ |convention |0 |NC |NC | +-----------+-------+---------+-----------+ |refactor |0 |NC |NC | +-----------+-------+---------+-----------+ |warning |0 |NC |NC | +-----------+-------+---------+-----------+ |error |0 |NC |NC | +-----------+-------+---------+-----------+ ------------------------------------ Your code has been rated at 10.00/10 Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 8140ae8010f95ddf15150c2ed4fe90cbe1e5c1fac829064d55ee3f4a0b116c8b $ docker rm -f 8140ae8010f95ddf15150c2ed4fe90cbe1e5c1fac829064d55ee3f4a0b116c8b [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Build) [Pipeline] parallel [Pipeline] { (Branch: CPU Build) [Pipeline] { (Branch: GPU Build) [Pipeline] { (Branch: PyTorch Cugraph GPU Build) [Pipeline] { (Branch: CPU Build (Win64)) [Pipeline] stage [Pipeline] { (CPU Build) [Pipeline] stage [Pipeline] { (GPU Build) [Pipeline] stage [Pipeline] { (PyTorch Cugraph GPU Build) [Pipeline] stage [Pipeline] { (CPU Build (Win64)) [Pipeline] node Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4483 [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4483@5 [Pipeline] node [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4483@6 [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a [Pipeline] checkout Cloning the remote Git repository Cloning with configured refspecs honoured and without tags The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a [Pipeline] checkout Cloning the remote Git repository Cloning with configured refspecs honoured and without tags The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init C:\Jenkins\workspace\dgl_PR-4483 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4483@5 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4483@6 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Cleaning workspace Fetching without tags Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-gpu:cu102_v221216 + docker pull dgllib/dgl-ci-cpu:v221216 Commit message: "revert the test code being reverted in #4956" Cleaning workspace cu102_v221216: Pulling from dgllib/dgl-ci-gpu Digest: sha256:cf8ce537d5d56256e31af5cb35a9affab8f1f71fed8e947143e5eaf4fec95416 Status: Image is up to date for dgllib/dgl-ci-gpu:cu102_v221216 docker.io/dgllib/dgl-ci-gpu:cu102_v221216 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh v221216: Pulling from dgllib/dgl-ci-cpu Digest: sha256:0559bb6a2ad7b63bc2ec2c385a60319c4aee0d0eebf23ae442171f63aad70294 Status: Image is up to date for dgllib/dgl-ci-cpu:v221216 docker.io/dgllib/dgl-ci-cpu:v221216 [Pipeline] } [Pipeline] // withEnv > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-gpu:cu102_v221216 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -u root -w /root/jenkins/workspace/dgl_PR-4483@6 -v /root/jenkins/workspace/dgl_PR-4483@6:/root/jenkins/workspace/dgl_PR-4483@6:rw,z -v /root/jenkins/workspace/dgl_PR-4483@6@tmp:/root/jenkins/workspace/dgl_PR-4483@6@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu102_v221216 cat + docker inspect -f . dgllib/dgl-ci-cpu:v221216 . $ docker top 7a102dcb60191ba8defe6ba81773d93c4674300a831fd44781a6c322963a418c -eo pid,comm [Pipeline] { [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -u root -w /root/jenkins/workspace/dgl_PR-4483@5 -v /root/jenkins/workspace/dgl_PR-4483@5:/root/jenkins/workspace/dgl_PR-4483@5:rw,z -v /root/jenkins/workspace/dgl_PR-4483@5@tmp:/root/jenkins/workspace/dgl_PR-4483@5@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v221216 cat > git clean -fdx # timeout=10 $ docker top f0b3dad7d04c706fd76c6dacd73ebf78ef67305909773db604b953fd3207f350 -eo pid,comm ERROR: The container started but didn't run the expected command. Please double check your ENTRYPOINT does execute the command passed as docker run argument, as required by official docker images (see https://github.com/docker-library/official-images#consistency for entrypoint consistency requirements). Alternatively you can force image entrypoint to be disabled by adding option `--entrypoint=''`. [Pipeline] { [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] sh [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace Fetching without tags + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dgl_sparse dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dgl_sparse dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@6c34601a; decorates RemoteLauncher[hudson.remoting.Channel@653504b6:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@5d42a82b; decorates RemoteLauncher[hudson.remoting.Channel@653504b6:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Fetching without tags Fetching without tags Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4483\.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace [Pipeline] bat > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483@6/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483@5/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4483>git submodule update --recursive --init [Pipeline] sh [Pipeline] sh Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/METIS'... + git submodule update --recursive --init + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS'... Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/libxsmm'... Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/pcg'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tvm'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/nccl'... Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/pcg'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/pcg'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/thrust'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/thrust'... Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm'... Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/xbyak'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/GKlib'... Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS/GKlib'... Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/googletest'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe/third_party/libuv'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4483>CALL tests\scripts\build_dgl.bat ********************************************************************** ** Visual Studio 2019 Developer Command Prompt v16.5.5 ** Copyright (c) 2019 Microsoft Corporation ********************************************************************** Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' [vcvarsall.bat] Environment initialized for: 'x64' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/pybind11/tools/clang'... created virtual environment CPython3.6.7.final.0-64 in 336ms creator CPython3Windows(dest=C:\Users\Administrator\Envs\jenkins-dgl-PR-4483-12, clear=False, global=True) seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=C:\Users\Administrator\AppData\Local\pypa\virtualenv) added seed packages: pip==21.3.1, setuptools==59.6.0, wheel==0.37.1 activators BashActivator,BatchActivator,FishActivator,PowerShellActivator,PythonActivator,XonshActivator Deleted file - C:\Jenkins\workspace\dgl_PR-4483\third_party\libxsmm\BUILD Deleted file - C:\Jenkins\workspace\dgl_PR-4483\third_party\libxsmm\samples\hello\BUILD Could Not Find C:\Jenkins\workspace\dgl_PR-4483\_download -- Selecting Windows SDK version 10.0.18362.0 to target Windows 6.3.9600. Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/thrust/dependencies/cub'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe/third_party/pybind11'... -- The C compiler identification is MSVC 19.25.28614.0 -- The CXX compiler identification is MSVC 19.25.28614.0 -- Detecting C compiler ABI info Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/dlpack'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/thrust/dependencies/cub'... -- Detecting C compiler ABI info - done -- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/BuildTools/VC/Tools/MSVC/14.25.28610/bin/Hostx64/x64/cl.exe - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/dmlc-core'... -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/BuildTools/VC/Tools/MSVC/14.25.28610/bin/Hostx64/x64/cl.exe - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Start configuring project dgl Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tvm/3rdparty/dlpack'... Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] sh + bash tests/scripts/build_dgl.sh cpu ~/jenkins/workspace/dgl_PR-4483@5/build ~/jenkins/workspace/dgl_PR-4483@5 Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tvm/3rdparty/dmlc-core'... -- The C compiler identification is GNU 7.5.0 -- The CXX compiler identification is GNU 7.5.0 -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Found OpenMP_C: -openmp (found version "2.0") -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Start configuring project dgl -- Performing Test SUPPORT_CXX14 -- Performing Test SUPPORT_CXX14 - Success Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tvm/3rdparty/rang'... -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -openmp (found version "2.0") -- Found OpenMP: TRUE (found version "2.0") -- Build with OpenMP. -- Build with LIBXSMM optimization. -- Looking for clock_gettime in rt Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tvm/3rdparty/vta-hw'... -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Found OpenMP: TRUE (found version "4.5") -- Build with OpenMP. -- Build with LIBXSMM optimization. -- Looking for sys/epoll.h -- Looking for sys/epoll.h - found -- Looking for clock_gettime in rt - not found -- Looking for fopen64 -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for fopen64 -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' -- Looking for C++ include cxxabi.h - found -- Looking for nanosleep -- Looking for nanosleep - found -- Looking for backtrace -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- Check if the system is big endian -- Searching 16 bit integer -- Looking for sys/types.h -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for C++ include cxxabi.h - not found -- Looking for nanosleep Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] sh -- Looking for stdint.h - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of unsigned short + bash tests/scripts/build_dgl.sh gpu ~/jenkins/workspace/dgl_PR-4483@6/build ~/jenkins/workspace/dgl_PR-4483@6 -- Check size of unsigned short - done -- Using unsigned short -- Check if the system is big endian - little endian -- /root/jenkins/workspace/dgl_PR-4483@5/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Performing Test SUPPORT_MSSE2 -- Looking for nanosleep - not found -- Looking for backtrace -- The C compiler identification is GNU 7.5.0 -- The CXX compiler identification is GNU 7.5.0 -- Check for working C compiler: /usr/bin/cc -- Performing Test SUPPORT_MSSE2 - Success -- Looking for execinfo.h -- Looking for execinfo.h - found -- Looking for getline -- Looking for backtrace - not found -- Could NOT find Backtrace (missing: Backtrace_LIBRARY Backtrace_INCLUDE_DIR) -- Check if the system is big endian -- Searching 16 bit integer -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Looking for getline - found -- Performing Test UV_LINT_W4 -- Performing Test UV_LINT_W4 - Failed -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC - Failed -- Performing Test UV_LINT_NO_HIDES_LOCAL -- Looking for sys/types.h -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Start configuring project dgl -- Build with CUDA support -- Looking for pthread.h -- Performing Test UV_LINT_NO_HIDES_LOCAL - Failed -- Performing Test UV_LINT_NO_HIDES_PARAM -- Performing Test UV_LINT_NO_HIDES_PARAM - Failed -- Performing Test UV_LINT_NO_HIDES_GLOBAL -- Performing Test UV_LINT_NO_HIDES_GLOBAL - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC - Failed -- Performing Test UV_LINT_NO_UNSAFE_MSVC -- Performing Test UV_LINT_NO_UNSAFE_MSVC - Failed -- Performing Test UV_LINT_WALL -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER -- Performing Test UV_LINT_NO_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Found CUDA: /usr/local/cuda (found version "10.2") -- Found CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda -- Found CUDA_CUDART_LIBRARY=/usr/local/cuda/lib64/libcudart.so -- Found CUDA_CUBLAS_LIBRARY=/usr/lib/x86_64-linux-gnu/libcublas.so -- Found CUDA_CURAND_LIBRARY=/usr/local/cuda/lib64/libcurand.so -- Performing Test SUPPORT_CXX14 -- Performing Test UV_LINT_EXTRA -- Performing Test UV_LINT_EXTRA - Success -- Performing Test UV_LINT_UTF8_MSVC -- Performing Test UV_LINT_UTF8_MSVC - Failed -- Performing Test UV_F_STRICT_ALIASING -- Performing Test SUPPORT_CXX14 - Success -- Use external CUB/Thrust library for a consistent API and performance. -- Performing Test UV_F_STRICT_ALIASING - Success -- summary of build options: Install prefix: /usr/local Target system: Linux Compiler: C compiler: /usr/bin/cc CFLAGS: -fopenmp -O2 -fPIC -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -DLINUX -D_FILE_OFFSET_BITS=64 -std=c99 -fno-strict-aliasing -march=native -fPIC -Werror -Wno-unused-function -Wno-unused-but-set-variable -Wno-unused-variable -Wno-unknown-pragmas -DNDEBUG -DNDEBUG2 -DHAVE_EXECINFO_H -DHAVE_GETLINE -O3 -- Found uv: 1.38.1 (found version "1.38.1") -- Build with unittest -- Found PythonInterp: /usr/bin/python3.6 (found version "3.6.9") -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Found OpenMP_C: -fopenmp (found version "4.5") -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Building dist/rpc tests -- Configuring DGL sparse library -- DGL include directories: /root/jenkins/workspace/dgl_PR-4483@5/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/phmap/;/root/jenkins/workspace/dgl_PR-4483@5/third_party/xbyak/;/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/include/;/root/jenkins/workspace/dgl_PR-4483@5/tensoradapter/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/nanoflann/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/pcg/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/GKlib;/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe;/root/jenkins/workspace/dgl_PR-4483@5/third_party/googletest/googletest/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/googletest/googletest;/root/jenkins/workspace/dgl_PR-4483@5/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/xbyak;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/phmap;/root/jenkins/workspace/dgl_PR-4483@5/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/pcg/include -- DGL link directories: /root/jenkins/workspace/dgl_PR-4483@5/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/phmap/;/root/jenkins/workspace/dgl_PR-4483@5/third_party/xbyak/;/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/include/;/root/jenkins/workspace/dgl_PR-4483@5/tensoradapter/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/nanoflann/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/pcg/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/GKlib;/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe;/root/jenkins/workspace/dgl_PR-4483@5/third_party/googletest/googletest/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/googletest/googletest;/root/jenkins/workspace/dgl_PR-4483@5/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/xbyak;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/phmap;/root/jenkins/workspace/dgl_PR-4483@5/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/pcg/include -- Configuring done -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4483@5/build Scanning dependencies of target tensoradapter_pytorch Scanning dependencies of target libxsmm Scanning dependencies of target gtest Scanning dependencies of target dmlc -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Found OpenMP: TRUE (found version "4.5") -- Build with OpenMP. -- Build with LIBXSMM optimization. -- Looking for sys/epoll.h [ 0%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest.dir/src/gtest-all.cc.o [ 0%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/config.cc.o [ 0%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/data.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/recordio_split.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/recordio.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/line_split.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/indexed_recordio_split.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/local_filesys.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/input_split_base.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/filesys.cc.o Scanning dependencies of target metis Scanning dependencies of target tensorpipe_uv [ 2%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/fs-poll.c.o [ 2%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/inet.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/idna.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/random.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/strscpy.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/threadpool.c.o [ 4%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/blas.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/timer.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/version.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-common.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-data-getter-setters.c.o [ 7%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/async.c.o [ 7%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/csr.c.o [ 7%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/b64.c.o [ 7%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/error.c.o [ 7%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/evaluate.c.o [ 8%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/dl.c.o [ 8%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/fkvkselect.c.o [ 8%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/getopt.c.o [ 8%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/htable.c.o [ 9%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getaddrinfo.c.o [ 9%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/fs.c.o [ 9%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/gk_util.c.o [ 9%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/fs.c.o [ 9%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/gkregex.c.o [ 11%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/graph.c.o [ 11%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getnameinfo.c.o [ 12%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/pqueue.c.o [ 12%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/io.c.o [ 12%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop-watcher.c.o [ 12%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop.c.o [ 12%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/itemsets.c.o [ 13%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/mcore.c.o [ 13%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/core.c.o [ 13%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/random.c.o [ 14%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/process.c.o [ 14%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/stream.c.o [ 14%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/signal.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/rw.c.o [ 16%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/poll.c.o [ 16%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tty.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/string.c.o [ 16%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-devurandom.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/sort.c.o [ 16%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/proctitle.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/seq.c.o [ 18%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/udp.c.o [ 19%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tcp.c.o [ 19%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/timers.c.o [ 19%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/thread.c.o [ 19%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/tokenizer.c.o [ 19%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/pipe.c.o [ 19%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-inotify.c.o [ 19%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-getrandom.c.o [ 20%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-syscalls.c.o [ 20%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-core.c.o [ 20%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/auxapi.c.o [ 20%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/memory.c.o [ 22%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/balance.c.o [ 22%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/procfs-exepath.c.o [ 22%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/checkgraph.c.o [ 22%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-sysctl-linux.c.o [ 22%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/coarsen.c.o [ 22%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/bucketsort.c.o [ 22%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/contig.c.o [ 23%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/fortran.c.o [ 24%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/compress.c.o [ 24%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/fm.c.o [ 24%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/debug.c.o [ 24%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/frename.c.o [ 24%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/graph.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/initpart.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/kwayfm.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mcutil.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mincover.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/minconn.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mesh.c.o [ 29%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/options.c.o [ 29%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/kmetis.c.o [ 29%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/meshpart.c.o [ 29%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/gklib.c.o [ 29%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/kwayrefine.c.o [ 29%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/srefine.c.o [ 29%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/sfm.c.o [ 29%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/pmetis.c.o [ 29%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/parmetis.c.o [ 29%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mmd.c.o [ 29%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/refine.c.o [ 29%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/ometis.c.o [ 30%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/separator.c.o [ 30%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/stat.c.o [ 30%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/wspace.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/timing.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/util.c.o -- The C compiler identification is GNU 7.5.0 -- Looking for stdint.h - found -- Looking for stddef.h -- Looking for sys/epoll.h - found -- -fopenmp -O2 -Wall -fPIC -std=c++14 -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -- Running GPU architecture autodetection nvcc fatal : Value 'native' is not defined for option 'gpu-architecture' CMake Warning at cmake/modules/CUDA.cmake:85 (message): Running GPU detection script with nvcc failed: Call Stack (most recent call first): cmake/modules/CUDA.cmake:162 (dgl_detect_installed_gpus) cmake/modules/CUDA.cmake:300 (dgl_select_nvcc_arch_flags) CMakeLists.txt:172 (dgl_config_cuda) CMake Warning at cmake/modules/CUDA.cmake:90 (message): Automatic GPU detection failed. Building for all known architectures (35;50;60;70). Call Stack (most recent call first): cmake/modules/CUDA.cmake:162 (dgl_detect_installed_gpus) cmake/modules/CUDA.cmake:300 (dgl_select_nvcc_arch_flags) CMakeLists.txt:172 (dgl_config_cuda) -- CUDA flags: -Xcompiler;-fopenmp,-O2,-Wall,-fPIC,-std=c++14,,-DUSE_AVX,-DUSE_LIBXSMM,-DDGL_CPU_LLC_SIZE=40000000,-DUSE_EPOLL,-DIDXTYPEWIDTH=64,-DREALTYPEWIDTH=32;--expt-relaxed-constexpr;-gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_70,code=compute_70;--expt-extended-lambda;-Wno-deprecated-declarations;-std=c++14 -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for fopen64 -- The CXX compiler identification is GNU 7.5.0 -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h -- Looking for C++ include cxxabi.h - found -- Looking for nanosleep -- Looking for nanosleep - found -- Looking for backtrace -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info [ 33%] Linking C static library libtensorpipe_uv.a -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Using Python interpreter: /opt/conda/envs/pytorch-ci/bin/python [ 33%] Built target tensorpipe_uv -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- Check if the system is big endian -- Searching 16 bit integer -- Looking for sys/types.h Scanning dependencies of target tensorpipe [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/error.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/error.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/socket.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/helpers.cc.o [ 35%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context_impl.cc.o [ 35%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/address.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/fd.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/allocator.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/system.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/error.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/context_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/error.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/channel_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/factory.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/context_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/context_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/channel_impl.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/factory.cc.o [ 41%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/factory.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/connection_impl.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/channel_impl.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/context_impl.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/channel_impl.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/factory.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/context_impl.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/loop.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/factory.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/error.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/listener_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/epoll_loop.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/sockaddr.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/shm_segment.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/connection_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/utility.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/listener_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/reactor.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/context_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/sockaddr.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/factory.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/ibv.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o [ 48%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/reactor.cc.o [ 49%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/error.cc.o [ 49%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/listener_impl.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.cc.o -- Looking for stddef.h - found -- Check size of unsigned short -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of unsigned short -- Check size of unsigned short - done -- Using unsigned short -- Check if the system is big endian - little endian -- /root/jenkins/workspace/dgl_PR-4483@6/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Performing Test SUPPORT_MSSE2 -- find_cmake.py output: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake;1.12.0 -- Configuring for PyTorch 1.12.0 -- Setting directory to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch -- Check size of unsigned short - done -- Searching 16 bit integer - Using unsigned short -- Performing Test SUPPORT_MSSE2 - Success -- Looking for execinfo.h -- Looking for execinfo.h - found -- Looking for getline -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD [ 50%] Linking C static library libmetis.a [ 50%] Built target metis -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for getline - found -- Performing Test UV_LINT_W4 -- Performing Test UV_LINT_W4 - Failed -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC - Failed -- Performing Test UV_LINT_NO_HIDES_LOCAL -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): static library kineto_LIBRARY-NOTFOUND not found. Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found) CMakeLists.txt:26 (find_package) -- Found Torch: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/lib/libtorch.so -- tensoradapter found PyTorch includes: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include;/opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -- tensoradapter found PyTorch lib: torch -- Configured target tensoradapter_pytorch_1.12.0 -- Configuring done -- Generating done CMake Warning: Manually-specified variables were not used by the project: CUDA_TOOLKIT_ROOT_DIR TORCH_CUDA_ARCH_LIST -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4483@5/tensoradapter/pytorch/build Scanning dependencies of target tensoradapter_pytorch_1.12.0 [ 50%] Building CXX object CMakeFiles/tensoradapter_pytorch_1.12.0.dir/torch.cpp.o -- Performing Test UV_LINT_NO_HIDES_LOCAL - Failed -- Performing Test UV_LINT_NO_HIDES_PARAM -- Performing Test UV_LINT_NO_HIDES_PARAM - Failed -- Performing Test UV_LINT_NO_HIDES_GLOBAL -- Performing Test UV_LINT_NO_HIDES_GLOBAL - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC - Failed -- Performing Test UV_LINT_NO_UNSAFE_MSVC -- Performing Test UV_LINT_NO_UNSAFE_MSVC - Failed -- Performing Test UV_LINT_WALL -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER -- Performing Test UV_LINT_NO_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES [100%] Linking CXX shared library libtensoradapter_pytorch_1.12.0.so -- Check if the system is big endian - little endian -- C:/Jenkins/workspace/dgl_PR-4483/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Found PythonInterp: C:/Users/Administrator/Envs/jenkins-dgl-PR-4483-12/Scripts/python.exe (found version "3.6.7") -- Build with unittest CMake Deprecation Warning at third_party/googletest/CMakeLists.txt:4 (cmake_minimum_required): Compatibility with CMake < 2.8.12 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. CMake Deprecation Warning at third_party/googletest/googlemock/CMakeLists.txt:45 (cmake_minimum_required): Compatibility with CMake < 2.8.12 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. CMake Deprecation Warning at third_party/googletest/googletest/CMakeLists.txt:56 (cmake_minimum_required): Compatibility with CMake < 2.8.12 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- Looking for pthread.h -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA -- Performing Test UV_LINT_EXTRA - Success -- Performing Test UV_LINT_UTF8_MSVC -- Performing Test UV_LINT_UTF8_MSVC - Failed -- Performing Test UV_F_STRICT_ALIASING [100%] Built target tensoradapter_pytorch_1.12.0 'libtensoradapter_pytorch_1.12.0.so' -> '/root/jenkins/workspace/dgl_PR-4483@5/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.12.0.so' -- Performing Test UV_F_STRICT_ALIASING - Success -- summary of build options: Install prefix: /usr/local Target system: Linux Compiler: C compiler: /usr/bin/cc CFLAGS: -fopenmp -O2 -fPIC -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -DLINUX -D_FILE_OFFSET_BITS=64 -std=c99 -fno-strict-aliasing -march=native -fPIC -Werror -Wno-unused-function -Wno-unused-but-set-variable -Wno-unused-variable -Wno-unknown-pragmas -DNDEBUG -DNDEBUG2 -DHAVE_EXECINFO_H -DHAVE_GETLINE -O3 -- Found uv: 1.38.1 (found version "1.38.1") -- Build with unittest -- Found PythonInterp: /usr/bin/python3.6 (found version "3.6.9") -- Building dist/rpc tests -- Configuring DGL sparse library -- DGL include directories: /usr/local/cuda/include;/root/jenkins/workspace/dgl_PR-4483@6/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/phmap/;/root/jenkins/workspace/dgl_PR-4483@6/third_party/xbyak/;/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS/include/;/root/jenkins/workspace/dgl_PR-4483@6/tensoradapter/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/nanoflann/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/pcg/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS/GKlib;/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe;/root/jenkins/workspace/dgl_PR-4483@6/third_party/googletest/googletest/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/googletest/googletest;/root/jenkins/workspace/dgl_PR-4483@6/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/xbyak;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/phmap;/root/jenkins/workspace/dgl_PR-4483@6/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/pcg/include -- DGL link directories: /usr/local/cuda/include;/root/jenkins/workspace/dgl_PR-4483@6/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/phmap/;/root/jenkins/workspace/dgl_PR-4483@6/third_party/xbyak/;/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS/include/;/root/jenkins/workspace/dgl_PR-4483@6/tensoradapter/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/nanoflann/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/pcg/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS/GKlib;/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe;/root/jenkins/workspace/dgl_PR-4483@6/third_party/googletest/googletest/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/googletest/googletest;/root/jenkins/workspace/dgl_PR-4483@6/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/xbyak;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/phmap;/root/jenkins/workspace/dgl_PR-4483@6/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/pcg/include -- Configuring done -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4483@6/build [ 50%] Built target tensoradapter_pytorch -- Looking for pthread.h - not found -- Found Threads: TRUE -- Configuring done -- Generating done -- Build files have been written to: C:/Jenkins/workspace/dgl_PR-4483/build Scanning dependencies of target libxsmm Scanning dependencies of target nccl_external Scanning dependencies of target tensoradapter_pytorch Scanning dependencies of target dmlc [ 0%] Creating directories for 'nccl_external' Scanning dependencies of target gtest [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/data.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/config.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/recordio_split.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/line_split.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/indexed_recordio_split.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/recordio.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/local_filesys.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/filesys.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/input_split_base.cc.o [ 3%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest.dir/src/gtest-all.cc.o Scanning dependencies of target tensorpipe_uv [ 3%] No download step for 'nccl_external' [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/fs-poll.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/idna.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/random.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/threadpool.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/inet.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/async.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/timer.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/strscpy.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/fs.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/version.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/core.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-data-getter-setters.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getaddrinfo.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-common.c.o [ 7%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/dl.c.o [ 8%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop.c.o [ 8%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/pipe.c.o [ 8%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/signal.c.o [ 8%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/poll.c.o Scanning dependencies of target metis [ 8%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getnameinfo.c.o [ 8%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop-watcher.c.o [ 9%] No patch step for 'nccl_external' [ 9%] No update step for 'nccl_external' [ 9%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/process.c.o [ 9%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tcp.c.o [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/procfs-exepath.c.o [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-devurandom.c.o [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-getrandom.c.o [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/stream.c.o [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-core.c.o [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-syscalls.c.o [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tty.c.o [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/udp.c.o [ 12%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-inotify.c.o [ 12%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/proctitle.c.o [ 13%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-sysctl-linux.c.o [ 14%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/thread.c.o [ 14%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/blas.c.o [ 14%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/csr.c.o [ 14%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/error.c.o [ 15%] No configure step for 'nccl_external' [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/b64.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/gk_util.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/fs.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/graph.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/memory.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/fkvkselect.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/mcore.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/seq.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/tokenizer.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/timers.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/htable.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/getopt.c.o [ 18%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/random.c.o [ 19%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/evaluate.c.o [ 20%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/rw.c.o [ 20%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/gkregex.c.o [ 20%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/balance.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/coarsen.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/itemsets.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/pqueue.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/io.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/string.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/auxapi.c.o [ 22%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/sort.c.o [ 22%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/bucketsort.c.o [ 22%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/checkgraph.c.o [ 22%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/debug.c.o [ 22%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/fortran.c.o [ 24%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/contig.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/frename.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/compress.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/fm.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/gklib.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/graph.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/kmetis.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/kwayrefine.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/kwayfm.c.o [ 26%] Performing build step for 'nccl_external' [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/meshpart.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mcutil.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mesh.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/options.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/initpart.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/parmetis.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/sfm.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/ometis.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/minconn.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mincover.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/srefine.c.o [ 30%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/separator.c.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/wspace.c.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/timing.c.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/pmetis.c.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/stat.c.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/refine.c.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/util.c.o -- The C compiler identification is GNU 7.5.0 [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mmd.c.o Microsoft (R) Build Engine version 16.5.1+4616136f8 for .NET Framework Copyright (C) Microsoft Corporation. All rights reserved. Build started 1/8/2023 5:18:25 AM. 1>Project "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" on node 1 (default targets). 1>ValidateSolutionConfiguration: Building solution configuration "Release|x64". ValidateProjects: The project "INSTALL" is not selected for building in solution configuration "Release|x64". The project "RUN_TESTS" is not selected for building in solution configuration "Release|x64". The project "dmlc_lint" is not selected for building in solution configuration "Release|x64". 1>Project "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4483\build\ALL_BUILD.vcxproj.metaproj" (2) on node 1 (default targets). 2>Project "C:\Jenkins\workspace\dgl_PR-4483\build\ALL_BUILD.vcxproj.metaproj" (2) is building "C:\Jenkins\workspace\dgl_PR-4483\build\ZERO_CHECK.vcxproj" (11) on node 2 (default targets). 11>PrepareForBuild: Creating directory "x64\Release\ZERO_CHECK\". Creating directory "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\". InitializeBuildStatus: Creating "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@f0b3dad7d04c) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- --- LIBXSMM build log -- The CXX compiler identification is GNU 7.5.0 -- Check for working C compiler: /usr/bin/cc Generating nccl.h.in > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/include/nccl.h Grabbing include/nccl_net.h > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/include/nccl_net.h Generating nccl.pc.in > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/lib/pkgconfig/nccl.pc Compiling init.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/init.o Compiling channel.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/channel.o Compiling bootstrap.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/bootstrap.o Compiling transport.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/transport.o Compiling enqueue.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/enqueue.o Compiling group.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/group.o Compiling debug.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/debug.o Compiling proxy.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/proxy.o -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info Compiling misc/nvmlwrap.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/misc/nvmlwrap.o Compiling misc/ibvwrap.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/misc/ibvwrap.o Compiling misc/gdrwrap.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/misc/gdrwrap.o Compiling misc/utils.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/misc/utils.o Compiling misc/argcheck.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/misc/argcheck.o Compiling transport/p2p.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/transport/p2p.o Compiling transport/shm.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/transport/shm.o Compiling transport/net.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/transport/net.o Compiling transport/net_socket.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/transport/net_socket.o Compiling transport/net_ib.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/transport/net_ib.o -- Detecting C compiler ABI info - done Compiling transport/coll_net.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/transport/coll_net.o Compiling collectives/sendrecv.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/sendrecv.o -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ Compiling collectives/all_reduce.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/all_reduce.o Compiling collectives/all_gather.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/all_gather.o Compiling collectives/broadcast.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/broadcast.o Compiling collectives/reduce.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/reduce.o Compiling collectives/reduce_scatter.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/reduce_scatter.o Compiling graph/topo.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/graph/topo.o Compiling graph/paths.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/graph/paths.o Compiling graph/search.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/graph/search.o Compiling graph/connect.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/graph/connect.o Compiling graph/rings.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/graph/rings.o Compiling graph/trees.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/graph/trees.o CustomBuild: Checking Build System FinalizeBuildStatus: Deleting file "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\unsuccessfulbuild". Touching "x64\Release\ZERO_CHECK\ZERO_CHECK.tlog\ZERO_CHECK.lastbuildstate". 11>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\ZERO_CHECK.vcxproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4483\build\tensoradapter_pytorch.vcxproj.metaproj" (10) on node 1 (default targets). 10>Project "C:\Jenkins\workspace\dgl_PR-4483\build\tensoradapter_pytorch.vcxproj.metaproj" (10) is building "C:\Jenkins\workspace\dgl_PR-4483\build\tensoradapter_pytorch.vcxproj" (12) on node 2 (default targets). 12>PrepareForBuild: Creating directory "x64\Release\tensoradapter_pytorch\". Creating directory "x64\Release\tensoradapter_pytorch\tensorad.9987DDDA.tlog\". InitializeBuildStatus: Creating "x64\Release\tensoradapter_pytorch\tensorad.9987DDDA.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: (jenkins-dgl-PR-4483-12) administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4483\tensoradapter\pytorch>REM Helper script to build tensor adapter libraries for PyTorch Could Not Find C:\Jenkins\workspace\dgl_PR-4483\tensoradapter\pytorch\build -- Selecting Windows SDK version 10.0.18362.0 to target Windows 6.3.9600. Compiling graph/tuning.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/graph/tuning.o Compiling graph/xml.cc > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/graph/xml.o -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info [ 31%] Linking C static library libtensorpipe_uv.a [ 31%] Built target tensorpipe_uv Generating rules > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/Makefile.rules -- Detecting CXX compiler ABI info - done Scanning dependencies of target tensorpipe -- Detecting CXX compile features -- Detecting CXX compile features - done -- Using Python interpreter: /opt/conda/envs/pytorch-ci/bin/python [ 31%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/error.cc.o [ 31%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/helpers.cc.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/address.cc.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/allocator.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/socket.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/system.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/error.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/fd.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context_impl.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/error.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe_impl.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener_impl.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/error.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/channel_impl.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/context_impl.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/factory.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/channel_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/channel_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/factory.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/channel_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/factory.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/context_impl.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/context_impl.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/context_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/factory.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/connection_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/context_impl.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/listener_impl.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/loop.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/factory.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/error.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/utility.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/sockaddr.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/shm_segment.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/factory.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/connection_impl.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/error.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/sockaddr.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/reactor.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/ibv.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/listener_impl.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/reactor.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/context_impl.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/listener_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/epoll_loop.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o 1>Project "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (7) on node 1 (default targets). 7>Project "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (7) is building "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googletest\gtest.vcxproj" (13) on node 3 (default targets). 13>PrepareForBuild: Creating directory "gtest.dir\Release\". Creating directory "C:\Jenkins\workspace\dgl_PR-4483\build\lib\Release\". Creating directory "gtest.dir\Release\gtest.tlog\". InitializeBuildStatus: Creating "gtest.dir\Release\gtest.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 1>Project "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (6) on node 1 (default targets). 6>Project "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (6) is building "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googlemock\gmock_main.vcxproj" (14) on node 4 (default targets). 14>PrepareForBuild: Creating directory "gmock_main.dir\Release\". Creating directory "gmock_main.dir\Release\gmock_main.tlog\". InitializeBuildStatus: Creating "gmock_main.dir\Release\gmock_main.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 13>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4483/third_party/googletest/googletest/CMakeLists.txt 1>Project "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (5) on node 1 (default targets). 5>Project "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (5) is building "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googlemock\gmock.vcxproj" (15) on node 5 (default targets). 15>PrepareForBuild: Creating directory "gmock.dir\Release\". 13>MakeDirsForCl: Creating directory "C:\Jenkins\workspace\dgl_PR-4483\build\bin\Release". 15>PrepareForBuild: Creating directory "gmock.dir\Release\gmock.tlog\". InitializeBuildStatus: Creating "gmock.dir\Release\gmock.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 14>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4483/third_party/googletest/googlemock/CMakeLists.txt 13>ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest" /Zi /nologo /W4 /WX /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D _UNICODE /D UNICODE /D WIN32 /D _WIN32 /D STRICT /D WIN32_LEAN_AND_MEAN /D GTEST_HAS_PTHREAD=0 /D _HAS_EXCEPTIONS=1 /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D "CMAKE_INTDIR=\"Release\"" /D _UNICODE /D UNICODE /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /Fo"gtest.dir\Release\\" /Fd"C:\Jenkins\workspace\dgl_PR-4483\build\bin\Release\gtest.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\src\gtest-all.cc" 1>Project "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (4) on node 1 (default targets). 4>Project "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (4) is building "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj" (16) on node 6 (default targets). 16>PrepareForBuild: Creating directory "dmlc.dir\Release\". Creating directory "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\Release\". Creating directory "dmlc.dir\Release\dmlc.tlog\". 15>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4483/third_party/googletest/googlemock/CMakeLists.txt 16>InitializeBuildStatus: Creating "dmlc.dir\Release\dmlc.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 13>ClCompile: gtest-all.cc /usr/bin/ar: creating lib/libxsmmnoblas.a 14>ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googlemock\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googlemock" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest" /Zi /nologo /W4 /WX /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D _UNICODE /D UNICODE /D WIN32 /D _WIN32 /D STRICT /D WIN32_LEAN_AND_MEAN /D GTEST_HAS_PTHREAD=0 /D _HAS_EXCEPTIONS=1 /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D "CMAKE_INTDIR=\"Release\"" /D _UNICODE /D UNICODE /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /Fo"gmock_main.dir\Release\\" /Fd"C:\Jenkins\workspace\dgl_PR-4483\build\bin\Release\gmock_main.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\src\gtest-all.cc" "C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googlemock\src\gmock-all.cc" "C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googlemock\src\gmock_main.cc" 16>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4483/third_party/dmlc-core/CMakeLists.txt 15>ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googlemock\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googlemock" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest" /Zi /nologo /W4 /WX /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D _UNICODE /D UNICODE /D WIN32 /D _WIN32 /D STRICT /D WIN32_LEAN_AND_MEAN /D GTEST_HAS_PTHREAD=0 /D _HAS_EXCEPTIONS=1 /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D "CMAKE_INTDIR=\"Release\"" /D _UNICODE /D UNICODE /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /Fo"gmock.dir\Release\\" /Fd"C:\Jenkins\workspace\dgl_PR-4483\build\bin\Release\gmock.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\src\gtest-all.cc" "C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googlemock\src\gmock-all.cc" 14>ClCompile: gtest-all.cc gmock-all.cc gmock_main.cc 15>ClCompile: gtest-all.cc gmock-all.cc 16>ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D DMLC_USE_HDFS=0 /D DMLC_USE_S3=0 /D DMLC_USE_AZURE=0 /D _XOPEN_SOURCE=700 /D _POSIX_SOURCE /D _POSIX_C_SOURCE=200809L /D _DARWIN_C_SOURCE /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D "CMAKE_INTDIR=\"Release\"" /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /Fo"dmlc.dir\Release\\" /Fd"dmlc.dir\Release\dmlc.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\config.cc" "C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\data.cc" "C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io.cc" "C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\recordio.cc" "C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\line_split.cc" "C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\recordio_split.cc" "C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\indexed_recordio_split.cc" "C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\input_split_base.cc" "C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\filesys.cc" "C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\local_filesys.cc" config.cc data.cc io.cc recordio.cc line_split.cc recordio_split.cc indexed_recordio_split.cc input_split_base.cc filesys.cc local_filesys.cc 16>C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\line_split.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\line_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\filesys.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\filesys.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\recordio_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\indexed_recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\indexed_recordio_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\input_split_base.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\input_split_base.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\local_filesys.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\local_filesys.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] 12>CustomBuild: -- The C compiler identification is MSVC 19.25.28614.0 [ 45%] Linking C static library libmetis.a [ 45%] Built target metis -- find_cmake.py output: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake;1.12.0 -- Configuring for PyTorch 1.12.0 -- Setting directory to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sum_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sum_i32.o -- The CXX compiler identification is MSVC 19.25.28614.0 -- Detecting C compiler ABI info Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sum_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sum_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sum_u64.o -- Looking for pthread_create in pthread - found -- Found Threads: TRUE Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sum_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sum_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sum_f64.o -- Found CUDA: /usr/local/cuda (found version "10.2") Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_prod_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_prod_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_prod_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_prod_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_prod_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_prod_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_prod_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_prod_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_prod_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_min_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_min_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_min_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_min_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_min_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_min_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_min_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_min_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_min_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_max_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_max_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_max_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_max_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_max_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_max_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_max_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_max_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_max_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_premulsum_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_premulsum_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_premulsum_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_premulsum_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_premulsum_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_premulsum_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_premulsum_f16.o [ 50%] Linking CXX static library ../../../lib/libgtest.a [ 50%] Built target gtest Scanning dependencies of target gtest_main Scanning dependencies of target gmock [ 50%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest_main.dir/src/gtest_main.cc.o [ 50%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock.dir/src/gmock-all.cc.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_premulsum_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_premulsum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.o [ 51%] Linking CXX static library ../../../lib/libgtest_main.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f32.o -- The CUDA compiler identification is NVIDIA 10.2.89 -- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc [ 51%] Built target gtest_main /usr/bin/ar: creating lib/libxsmmgen.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sum_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sum_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sum_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sum_u32.o -- Detecting C compiler ABI info - done -- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/BuildTools/VC/Tools/MSVC/14.25.28610/bin/Hostx64/x64/cl.exe - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sum_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sum_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sum_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_prod_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_prod_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_prod_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_prod_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_prod_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_prod_u64.o -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/BuildTools/VC/Tools/MSVC/14.25.28610/bin/Hostx64/x64/cl.exe - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Using Python interpreter: python3 -- find_cmake.py output: CMake Error at CMakeLists.txt:16 (list): -- Configuring for PyTorch -- Setting directory to /Torch list GET given empty list CMake Error at CMakeLists.txt:17 (list): list GET given empty list Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_prod_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_prod_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_prod_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_min_i8.o -- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc -- works -- Detecting CUDA compiler ABI info Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_min_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_min_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_min_u32.o CMake Error at CMakeLists.txt:26 (find_package): By not providing "FindTorch.cmake" in CMAKE_MODULE_PATH this project has asked CMake to find a package configuration file provided by "Torch", but CMake did not find one. Could not find a package configuration file provided by "Torch" with any of the following names: TorchConfig.cmake torch-config.cmake Add the installation prefix of "Torch" to CMAKE_PREFIX_PATH or set "Torch_DIR" to a directory containing one of the above files. If "Torch" provides a separate development package or SDK, be sure it has been installed. -- Configuring incomplete, errors occurred! See also "C:/Jenkins/workspace/dgl_PR-4483/tensoradapter/pytorch/build/CMakeFiles/CMakeOutput.log". Building Custom Rule C:/Jenkins/workspace/dgl_PR-4483/CMakeLists.txt FinalizeBuildStatus: Deleting file "x64\Release\tensoradapter_pytorch\tensorad.9987DDDA.tlog\unsuccessfulbuild". Touching "x64\Release\tensoradapter_pytorch\tensorad.9987DDDA.tlog\tensoradapter_pytorch.lastbuildstate". 12>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\tensoradapter_pytorch.vcxproj" (default targets). 10>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\tensoradapter_pytorch.vcxproj.metaproj" (default targets). 15>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4483\build\lib\Release\gmock.lib" /NOLOGO /MACHINE:X64 /machine:x64 "gmock.dir\Release\gtest-all.obj" "gmock.dir\Release\gmock-all.obj" 13>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4483\build\lib\Release\gtest.lib" /NOLOGO /MACHINE:X64 /machine:x64 "gtest.dir\Release\gtest-all.obj" 14>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4483\build\lib\Release\gmock_main.lib" /NOLOGO /MACHINE:X64 /machine:x64 "gmock_main.dir\Release\gtest-all.obj" "gmock_main.dir\Release\gmock-all.obj" gmock_main.dir\Release\gmock_main.obj 13>Lib: gtest.vcxproj -> C:\Jenkins\workspace\dgl_PR-4483\build\lib\Release\gtest.lib 15>Lib: gmock.vcxproj -> C:\Jenkins\workspace\dgl_PR-4483\build\lib\Release\gmock.lib 14>Lib: gmock_main.vcxproj -> C:\Jenkins\workspace\dgl_PR-4483\build\lib\Release\gmock_main.lib FinalizeBuildStatus: Deleting file "gmock_main.dir\Release\gmock_main.tlog\unsuccessfulbuild". 15>FinalizeBuildStatus: Deleting file "gmock.dir\Release\gmock.tlog\unsuccessfulbuild". 13>FinalizeBuildStatus: Deleting file "gtest.dir\Release\gtest.tlog\unsuccessfulbuild". 14>FinalizeBuildStatus: Touching "gmock_main.dir\Release\gmock_main.tlog\gmock_main.lastbuildstate". 13>FinalizeBuildStatus: Touching "gtest.dir\Release\gtest.tlog\gtest.lastbuildstate". 15>FinalizeBuildStatus: Touching "gmock.dir\Release\gmock.tlog\gmock.lastbuildstate". 14>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googlemock\gmock_main.vcxproj" (default targets). 15>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googlemock\gmock.vcxproj" (default targets). 13>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googletest\gtest.vcxproj" (default targets). 6>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (default targets). 7>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (default targets). 5>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (8) on node 1 (default targets). 8>Project "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (8) is building "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googletest\gtest_main.vcxproj" (17) on node 3 (default targets). 17>PrepareForBuild: Creating directory "gtest_main.dir\Release\". Creating directory "gtest_main.dir\Release\gtest_main.tlog\". InitializeBuildStatus: Creating "gtest_main.dir\Release\gtest_main.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4483/third_party/googletest/googletest/CMakeLists.txt Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_min_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_min_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_min_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_min_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_min_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_max_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_max_u8.o ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest" /Zi /nologo /W4 /WX /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D _UNICODE /D UNICODE /D WIN32 /D _WIN32 /D STRICT /D WIN32_LEAN_AND_MEAN /D GTEST_HAS_PTHREAD=0 /D _HAS_EXCEPTIONS=1 /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D "CMAKE_INTDIR=\"Release\"" /D _UNICODE /D UNICODE /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /Fo"gtest_main.dir\Release\\" /Fd"C:\Jenkins\workspace\dgl_PR-4483\build\bin\Release\gtest_main.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\src\gtest_main.cc" gtest_main.cc 16>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\Release\dmlc.lib" /NOLOGO /MACHINE:X64 /machine:x64 dmlc.dir\Release\config.obj dmlc.dir\Release\data.obj dmlc.dir\Release\io.obj dmlc.dir\Release\recordio.obj dmlc.dir\Release\line_split.obj dmlc.dir\Release\recordio_split.obj dmlc.dir\Release\indexed_recordio_split.obj dmlc.dir\Release\input_split_base.obj dmlc.dir\Release\filesys.obj dmlc.dir\Release\local_filesys.obj Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_max_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_max_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_max_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_max_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_max_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_max_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_max_f64.o dmlc.vcxproj -> C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\Release\dmlc.lib FinalizeBuildStatus: Deleting file "dmlc.dir\Release\dmlc.tlog\unsuccessfulbuild". Touching "dmlc.dir\Release\dmlc.tlog\dmlc.lastbuildstate". 16>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj" (default targets). 4>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj.metaproj" (3) on node 1 (default targets). 3>Project "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj.metaproj" (3) is building "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj" (18) on node 1 (default targets). 18>PrepareForBuild: Creating directory "C:\Jenkins\workspace\dgl_PR-4483\build\Release\". Creating directory "dgl.dir\Release\dgl.tlog\". InitializeBuildStatus: Creating "dgl.dir\Release\dgl.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4483/CMakeLists.txt Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_premulsum_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_premulsum_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_premulsum_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_premulsum_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_premulsum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_premulsum_f16.o MakeDirsForCl: Creating directory "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.dir\Release\src\array\cpu". Creating directory "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.dir\Release\src\graph\transform\cpu". ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4483\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4483\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\pcg\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D "CMAKE_INTDIR=\"Release\"" /D dgl_EXPORTS /D _WINDLL /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /std:c++14 /Fo"dgl.dir\Release\\" /Fd"dgl.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4483\src\array\array.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\array_arith.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_cumsum.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_index_select.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_nonzero.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_op_impl.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_pack.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_repeat.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_scatter.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_sort.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_coalesce.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_linegraph.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_remove.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_sort.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_get_data.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_mm.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_remove.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_sort.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_sum.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_to_simple.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_union.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\disjoint_union.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\gather_mm.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\labor_sampling.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\negative_sampling.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\rowwise_sampling.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\rowwise_topk.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\sddmm.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\segment_reduce.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmm.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\filter.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\kernel.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\array\uvm_array.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\bcast.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\c_api_common.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\geometry\cpu\geometry_op_impl.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\geometry\geometry.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\partition\ndarray_partition.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\random\cpu\choice.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\random\random.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\c_object_api.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\c_runtime_api.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\config.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\cpu_device_api.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\dlpack_convert.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\dso_module.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\file_util.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\module.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\module_util.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\ndarray.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\object.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\registry.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\resource_manager.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\semaphore_wrapper.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\shared_mem.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\system_lib_module.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\tensordispatch.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\thread_pool.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\threading_backend.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\utils.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\runtime\workspace_pool.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\api\api_container.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\api\api_test.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\creators.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\gk_ops.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_apis.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_op.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_traversal.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph_capi.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\immutable_graph.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\network.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\nodeflow.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\pickle.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\negative\global_uniform.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\neighbor\neighbor.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\get_node_types_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalks.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\dglgraph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\graph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\heterograph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\tensor_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\zerocopy_serializer.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\shared_mem_manager.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\subgraph.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\line_graph.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\partition_hetero.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\remove_edges.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_bipartite.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_simple.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\graph\unit_graph.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\scheduler\scheduler.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\scheduler\scheduler_apis.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\rpc\network\common.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\rpc\network\msg_queue.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\rpc\network\socket_communicator.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\rpc\network\socket_pool.cc" "C:\Jenkins\workspace\dgl_PR-4483\src\rpc\network\tcp_socket.cc" 17>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4483\build\lib\Release\gtest_main.lib" /NOLOGO /MACHINE:X64 /machine:x64 gtest_main.dir\Release\gtest_main.obj 18>ClCompile: array.cc array_arith.cc array_cumsum.cc array_index_select.cc array_nonzero.cc array_op_impl.cc array_pack.cc array_repeat.cc array_scatter.cc array_sort.cc 17>Lib: gtest_main.vcxproj -> C:\Jenkins\workspace\dgl_PR-4483\build\lib\Release\gtest_main.lib 18>ClCompile: coo_coalesce.cc coo_linegraph.cc coo_remove.cc coo_sort.cc csr_get_data.cc csr_mm.cc csr_remove.cc csr_sort.cc csr_sum.cc csr_to_simple.cc csr_union.cc disjoint_union.cc gather_mm.cc labor_sampling.cc negative_sampling.cc rowwise_sampling.cc rowwise_topk.cc sddmm.cc segment_reduce.cc spmat_op_impl_coo.cc spmat_op_impl_csr.cc spmm.cc 17>FinalizeBuildStatus: Deleting file "gtest_main.dir\Release\gtest_main.tlog\unsuccessfulbuild". Touching "gtest_main.dir\Release\gtest_main.tlog\gtest_main.lastbuildstate". 17>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googletest\gtest_main.vcxproj" (default targets). 8>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (default targets). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_premulsum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_premulsum_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.o -- Detecting CUDA compiler ABI info - done Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.o -- Caffe2: CUDA detected: 10.2 -- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc -- Caffe2: CUDA toolkit directory: /usr/local/cuda Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sum_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sum_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sum_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sum_u64.o -- Caffe2: Header version is: 10.2 -- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so -- Found cuDNN: v7.6.5 (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so) CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:214 (message): Failed to compute shorthash for libnvrtc.so Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:88 (include) /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) CMakeLists.txt:26 (find_package) Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sum_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sum_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_prod_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_prod_u8.o [ 51%] Linking CXX static library ../../../lib/libgmock.a [ 51%] Built target gmock Scanning dependencies of target gmock_main [ 51%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock_main.dir/src/gmock_main.cc.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_prod_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_prod_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_prod_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_prod_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_prod_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_prod_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_prod_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_min_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_min_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_min_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_min_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_min_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_min_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_min_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_min_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_min_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_max_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_max_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_max_i32.o [ 51%] Linking CXX static library libtensorpipe.a [ 51%] Built target tensorpipe Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_max_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_max_i64.o ================================================================================ Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_max_u64.o LIBXSMM master-1.16.1-1534 (Linux@7a102dcb6019) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- --- LIBXSMM build log -- Automatic GPU detection failed. Building for common architectures. -- Autodetected CUDA architecture(s): 3.5;5.0;5.2;6.0;6.1;7.0;7.5;7.5+PTX -- Added CUDA NVCC flags for: -gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_52,code=sm_52;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_75,code=compute_75 Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_max_f16.o CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): static library kineto_LIBRARY-NOTFOUND not found. Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found) CMakeLists.txt:26 (find_package) -- Found Torch: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/lib/libtorch.so -- tensoradapter found PyTorch includes: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include;/opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -- tensoradapter found PyTorch lib: torch -- Configured target tensoradapter_pytorch_1.12.0 -- Configuring done [ 53%] Linking CXX static library ../../../lib/libgmock_main.a [ 53%] Built target gmock_main 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_cumsum.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_cumsum.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_nonzero.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_nonzero.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_pack.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_pack.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_scatter.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_scatter.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_repeat.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_repeat.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_index_select.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_index_select.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_coalesce.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_coalesce.cc) 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_sort.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_sort.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_linegraph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_linegraph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\gather_mm.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\gather_mm.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_sort.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_sort.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_to_simple.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_to_simple.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\disjoint_union.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\disjoint_union.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_union.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_union.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] filter.cc kernel.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_sort.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_sort.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] libra_partition.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] uvm_array.cc bcast.cc c_api_common.cc geometry_op_impl.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\segment_reduce.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\segment_reduce.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\rowwise_topk.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\rowwise_topk.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] geometry.cc CMake Warning at CMakeLists.txt:32 (add_library): Cannot generate a safe runtime search path for target tensoradapter_pytorch_1.12.0 because files in some directories may conflict with libraries in implicit directories: runtime library [libcublas.so.10] in /usr/lib/x86_64-linux-gnu may be hidden by files in: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/lib Some of these libraries may not be found correctly. -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4483@6/tensoradapter/pytorch/build Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_max_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_max_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_premulsum_i8.o Scanning dependencies of target tensoradapter_pytorch_1.12.0 [ 50%] Building CXX object CMakeFiles/tensoradapter_pytorch_1.12.0.dir/torch.cpp.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_premulsum_u8.o ndarray_partition.cc choice.cc random.cc c_object_api.cc [ 45%] Linking CXX static library ../../../lib/libgtest.a Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_premulsum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_premulsum_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_premulsum_i64.o [ 45%] Built target gtest Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_premulsum_u64.o Scanning dependencies of target gmock Scanning dependencies of target gtest_main Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_premulsum_f16.o [ 45%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest_main.dir/src/gtest_main.cc.o [ 45%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock.dir/src/gmock-all.cc.o c_runtime_api.cc config.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\array_arith.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\array_arith.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] cpu_device_api.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\negative_sampling.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\negative_sampling.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] dlpack_convert.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_get_data.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_get_data.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] dso_module.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const _Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-_int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\cs4483@6/build/nccl/obj/collectives/device/reduce_premulsum_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reducer_remove.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(36_premulsum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-442): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/colle\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=intctives/device/reduce_sumpostdiv_u8.o Compiling reduce.cu > 32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iter/root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sumpator>> ] (compiling source file C:\Jenkins\workspace\dgostdiv_i32.o Compiling reduce.cu > /root/jenkins/workspal_PR-4483\src\array\cpu\csr_remove.cc) ce/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sumpostC:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function templatdiv_u32.o e instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(51): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(41): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_remove.cc(58): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_remove.cc(84): message : see reference to function template instantiation 'void dgl::aten::impl::`anonymous-namespace'::COORemoveShuffled(dgl::aten::COOMatrix,dgl::IdArray,std::vector> *,std::vector> *,std::vector> *)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_remove.cc(95): message : see reference to function template instantiation 'dgl::aten::COOMatrix dgl::aten::impl::COORemove(dgl::aten::COOMatrix,dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_mm.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_mm.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(51): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(41): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_remove.cc(58): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_remove.cc(88): message : see reference to function template instantiation 'void dgl::aten::impl::`anonymous-namespace'::CSRRemoveShuffled(dgl::aten::CSRMatrix,dgl::IdArray,std::vector> *,std::vector> *,std::vector> *)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_remove.cc(99): message : see reference to function template instantiation 'dgl::aten::CSRMatrix dgl::aten::impl::CSRRemove(dgl::aten::CSRMatrix,dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] [ 54%] Linking CXX static library libdmlc.a file_util.cc module.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_sum.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_sum.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(4088,24): warning C4244: '=': conversion from 'const _Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty=int64_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc(312): message : see reference to function template instantiation 'void std::fill(const _FwdIt,const _FwdIt,const _Ty &)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t, _FwdIt=int32_t *, _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc(320): message : see reference to function template instantiation 'dgl::aten::COOMatrix dgl::aten::impl::CSRToCOO(dgl::aten::CSRMatrix)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\labor_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\labor_sampling.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\labor_sampling.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\labor_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\array.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\array.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(51): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(41): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc(496): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc(545): message : see reference to function template instantiation 'dgl::aten::CSRMatrix dgl::aten::impl::CSRSliceMatrix(dgl::aten::CSRMatrix,dgl::runtime::NDArray,dgl::runtime::NDArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] module_util.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\rowwise_sampling.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\rowwise_sampling.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\sddmm.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\sddmm.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmm.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmm.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t, _Other1=const int32_t &, Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.o /usr/bin/ar: creating lib/libxsmmnoblas.a Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.o [ 54%] Built target dmlc _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(51): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_utils.h(41): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc(703): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc(726): message : see reference to function template instantiation 'dgl::aten::COOMatrix dgl::aten::impl::COOSliceRows(dgl::aten::COOMatrix,dgl::runtime::NDArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] ndarray.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\numeric(817,20): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty=int64_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc(399): message : see reference to function template instantiation 'void std::iota(_FwdIt,_FwdIt,_Ty)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t, _FwdIt=int32_t *, _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc(653): message : see reference to function template instantiation 'dgl::aten::CSRMatrix dgl::aten::impl::`anonymous-namespace'::SortedCOOToCSR(const dgl::aten::COOMatrix &)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc(656): message : see reference to function template instantiation 'dgl::aten::CSRMatrix dgl::aten::impl::COOToCSR(dgl::aten::COOMatrix)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.o 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4244: 'initializing': conversion from '_Ty' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty=__int64 ] and [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xmemory(671): message : see reference to function template instantiation 'std::pair,IdType>::pair<_Ty,__int64,0>(_Other1 &&,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t, _Ty=std::pair, _Other1=std::pair, _Other2=__int64 ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xmemory(671): message : see reference to function template instantiation 'std::pair,IdType>::pair<_Ty,__int64,0>(_Other1 &&,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t, _Ty=std::pair, _Other1=std::pair, _Other2=__int64 ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\list(587): message : see reference to function template instantiation 'void std::_Default_allocator_traits<_Alloc>::construct<_Ty,std::pair,__int64>(_Alloc &,_Objty *const ,std::pair &&,__int64 &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Alloc=std::allocator,int32_t>,std::_Default_allocator_traits,int32_t>>>::void_pointer>>, _Ty=std::pair,int32_t>, IdType=int32_t, _Objty=std::pair,int32_t> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\list(587): message : see reference to function template instantiation 'void std::_Default_allocator_traits<_Alloc>::construct<_Ty,std::pair,__int64>(_Alloc &,_Objty *const ,std::pair &&,__int64 &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Alloc=std::allocator,int32_t>,std::_Default_allocator_traits,int32_t>>>::void_pointer>>, _Ty=std::pair,int32_t>, IdType=int32_t, _Objty=std::pair,int32_t> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xhash(599): message : see reference to function template instantiation 'std::_List_node_emplace_op2::void_pointer>>>::_List_node_emplace_op2,__int64>(_Alnode &,std::pair &&,__int64 &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty=std::pair,int32_t>, _Alloc=std::allocator,int32_t>>, IdType=int32_t, _Alnode=std::allocator,int32_t>,std::_Default_allocator_traits,int32_t>>>::void_pointer>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xhash(599): message : see reference to function template instantiation 'std::_List_node_emplace_op2::void_pointer>>>::_List_node_emplace_op2,__int64>(_Alnode &,std::pair &&,__int64 &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty=std::pair,int32_t>, _Alloc=std::allocator,int32_t>>, IdType=int32_t, _Alnode=std::allocator,int32_t>,std::_Default_allocator_traits,int32_t>>>::void_pointer>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc(265): message : see reference to function template instantiation 'std::_List_iterator>> std::_Hash,_Alloc,true>>::emplace,int64_t>(std::pair &&,int64_t &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty=std::pair,int32_t>, _Kty=std::pair, _Hasher=dgl::aten::PairHash, _Keyeq=std::equal_to>, _Alloc=std::allocator,int32_t>>, IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc(264): message : see reference to function template instantiation 'std::_List_iterator>> std::_Hash,_Alloc,true>>::emplace,int64_t>(std::pair &&,int64_t &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty=std::pair,int32_t>, _Kty=std::pair, _Hasher=dgl::aten::PairHash, _Keyeq=std::equal_to>, _Alloc=std::allocator,int32_t>>, IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc(305): message : see reference to function template instantiation 'std::vector> dgl::aten::impl::COOGetDataAndIndices(dgl::aten::COOMatrix,dgl::runtime::NDArray,dgl::runtime::NDArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.o [ 45%] Linking CXX static library ../../../lib/libgtest_main.a Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.o object.cc registry.cc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.o [ 45%] Built target gtest_main Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.o /usr/bin/ar: creating lib/libxsmm.a /usr/bin/ar: creating lib/libxsmmext.a [100%] Linking CXX shared library libtensoradapter_pytorch_1.12.0.so Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_min_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_min_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_min_i32.o resource_manager.cc semaphore_wrapper.cc ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@f0b3dad7d04c) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- BLAS dependency and fallback is removed! -------------------------------------------------------------------------------- [ 54%] Built target libxsmm Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_min_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_min_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_min_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_min_f16.o Scanning dependencies of target dgl Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_min_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_min_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_max_u8.o [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/array.cc.o [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_nonzero.cc.o [ 54%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_cumsum.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_index_select.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/array_arith.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_scatter.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_op_impl.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sum.cc.o [ 56%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_repeat.cc.o [ 58%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_mm.cc.o [ 58%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_sort.cc.o [ 59%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_get_data.cc.o [ 59%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_csr.cc.o [ 59%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_union.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sort.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_to_simple.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/geometry/cpu/geometry_op_impl.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_sort.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/disjoint_union.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/c_api_common.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_linegraph.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/labor_sampling.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_topk.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/segment_reduce.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_coo.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmm.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_remove.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/traversal.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/array/uvm_array.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/array/kernel.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dso_module.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/negative_sampling.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_runtime_api.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/array/filter.cc.o [ 64%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_pack.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/geometry/geometry.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cpu_device_api.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_remove.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/sddmm.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_coalesce.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/union_partition.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/libra_partition.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_sampling.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/gather_mm.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/random/cpu/choice.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/bcast.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/partition/ndarray_partition.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/runtime/registry.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/runtime/object.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_object_api.cc.o [ 70%] Building CXX object CMakeFiles/dgl.dir/src/runtime/file_util.cc.o [ 70%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dlpack_convert.cc.o [ 70%] Building CXX object CMakeFiles/dgl.dir/src/runtime/thread_pool.cc.o [ 70%] Building CXX object CMakeFiles/dgl.dir/src/runtime/config.cc.o [ 70%] Building CXX object CMakeFiles/dgl.dir/src/random/random.cc.o [ 70%] Building CXX object CMakeFiles/dgl.dir/src/runtime/shared_mem.cc.o [ 70%] Building CXX object CMakeFiles/dgl.dir/src/runtime/tensordispatch.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/runtime/threading_backend.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/runtime/system_lib_module.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/runtime/ndarray.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/runtime/semaphore_wrapper.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module_util.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/api/api_container.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/runtime/workspace_pool.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/utils.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/graph/network.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_traversal.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_apis.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/runtime/resource_manager.cc.o [ 76%] Building CXX object CMakeFiles/dgl.dir/src/graph/immutable_graph.cc.o [ 76%] Building CXX object CMakeFiles/dgl.dir/src/graph/gk_ops.cc.o [ 76%] Building CXX object CMakeFiles/dgl.dir/src/api/api_test.cc.o [ 76%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph.cc.o [ 76%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec_cpu.cc.o [ 76%] Building CXX object CMakeFiles/dgl.dir/src/graph/nodeflow.cc.o [ 76%] Building CXX object CMakeFiles/dgl.dir/src/graph/metis_partition.cc.o [ 76%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph_capi.cc.o [ 76%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/get_node_types_cpu.cc.o [ 76%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/zerocopy_serializer.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/graph/subgraph.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/graph/shared_mem_manager.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_cpu.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/neighbor/neighbor.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/creators.cc.o [ 82%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_op.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/heterograph_serialize.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/knn.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/negative/global_uniform.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/dglgraph_serialize.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_communicator.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/tensor_serialize.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/pickle.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_with_restart_cpu.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/cpu/knn.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_pool.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler_apis.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/union_partition.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_simple.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/traversal.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampler.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/compact.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/line_graph.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/metis_partition_hetero.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/graph_serialize.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalks.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.cc.o shared_mem.cc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_max_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_max_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_max_i64.o [100%] Built target tensoradapter_pytorch_1.12.0 'libtensoradapter_pytorch_1.12.0.so' -> '/root/jenkins/workspace/dgl_PR-4483@6/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.12.0.so' system_lib_module.cc tensordispatch.cc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_max_u64.o [ 45%] Built target tensoradapter_pytorch Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_max_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_max_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_max_f64.o thread_pool.cc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.o 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\uvm_array.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\uvm_array.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.o 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\filter.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\filter.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\c_api_common.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\c_api_common.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(390,13): warning C4477: 'fscanf' : format string '%ld' requires an argument of type 'long *', but variadic argument 1 has type 'int64_t *' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(390,13): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(390,13): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(390,13): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(390,13): warning C4477: 'fscanf' : format string '%ld' requires an argument of type 'long *', but variadic argument 2 has type 'int64_t *' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(390,13): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(390,13): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(390,13): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.o threading_backend.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\partition\ndarray_partition.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\partition\ndarray_partition.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\geometry\geometry.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\geometry\geometry.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] utils.cc workspace_pool.cc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.o api_container.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\geometry\cpu\geometry_op_impl.cc) api_test.cc C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\geometry\cpu\geometry_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] creators.cc gk_ops.cc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.o graph.cc graph_apis.cc graph_op.cc graph_traversal.cc Compiling functions.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/functions.o Compiling onerank_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/onerank_reduce.o 18>C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(276,17): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(276,17): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(276,17): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(276,17): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(319): message : see reference to function template instantiation 'void dgl::aten::LibraVertexCut(int32_t,dgl::runtime::NDArray,dgl::runtime::NDArray,dgl::runtime::NDArray,dgl::runtime::NDArray,dgl::runtime::NDArray,dgl::runtime::NDArray,dgl::runtime::NDArray,int64_t,int64_t,const std::string &)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(276,17): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 2 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(276,17): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(276,17): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(276,17): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(276,17): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 3 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(276,17): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(276,17): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(276,17): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(288,10): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'unsigned __int64' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(288,10): message : consider using '%zd' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(291,17): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(291,17): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(291,17): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(291,17): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(294,43): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(294,43): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(294,43): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(294,43): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(298,43): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(298,43): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(298,43): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(298,43): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\kernel.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\kernel.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] heterograph.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\random\random.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\random\random.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] heterograph_capi.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sum_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sum_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sum_u32.o immutable_graph.cc metis_partition.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sum_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sum_f16.o /root/jenkins/workspace/dgl_PR-4483@5/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4483@5/src/partition/ndarray_partition.cc:191:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ In file included from /root/jenkins/workspace/dgl_PR-4483@5/src/geometry/../c_api_common.h:12:0, from /root/jenkins/workspace/dgl_PR-4483@5/src/geometry/geometry.cc:11: /root/jenkins/workspace/dgl_PR-4483@5/include/dgl/runtime/packed_func.h:482:21: warning: inline function 'TObjectRef dgl::runtime::DGLArgValue::AsObjectRef() const [with TObjectRef = dgl::HeteroGraphRef]' used but never defined inline TObjectRef AsObjectRef() const; ^~~~~~~~~~~ In file included from /usr/include/c++/7/cassert:44:0, from /root/jenkins/workspace/dgl_PR-4483@5/third_party/pcg/include/pcg_extras.hpp:40, from /root/jenkins/workspace/dgl_PR-4483@5/third_party/pcg/include/pcg_random.hpp:114, from /root/jenkins/workspace/dgl_PR-4483@5/include/dgl/random.h:18, from /root/jenkins/workspace/dgl_PR-4483@5/src/graph/sampler.cc:9: /root/jenkins/workspace/dgl_PR-4483@5/src/graph/sampler.cc: In member function 'dgl::NegSubgraph dgl::{anonymous}::EdgeSamplerObject::genNegEdgeSubgraph(const dgl::Subgraph&, const string&, int64_t, bool, bool)': /root/jenkins/workspace/dgl_PR-4483@5/src/graph/sampler.cc:1172:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4483@5/src/graph/sampler.cc:1176:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ network.cc nodeflow.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sum_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sum_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_prod_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_prod_u8.o pickle.cc sampler.cc global_uniform.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_prod_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_prod_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_prod_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_prod_u64.o neighbor.cc /root/jenkins/workspace/dgl_PR-4483@5/src/array/libra_partition.cc: In function 'dgl::runtime::List dgl::aten::Libra2dglBuildDict(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, int32_t, int32_t, int64_t, const string&)': /root/jenkins/workspace/dgl_PR-4483@5/src/array/libra_partition.cc:389:11: warning: ignoring return value of 'int fscanf(FILE*, const char*, ...)', declared with attribute warn_unused_result [-Wunused-result] fscanf( ~~~~~~^ fp, "%ld,%ld,%f\n", &u, &v, ~~~~~~~~~~~~~~~~~~~~~~~~~~~ &w); // reading an edge - the src and dst global node IDs ~~~ Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_prod_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_prod_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_prod_f64.o [ 45%] Linking CXX static library ../../../lib/libgmock.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_min_i8.o /root/jenkins/workspace/dgl_PR-4483@5/src/array/libra_partition.cc: In function 'int32_t dgl::aten::Ver2partition(IdType, int64_t*, int32_t) [with IdType = long int]': /root/jenkins/workspace/dgl_PR-4483@5/src/array/libra_partition.cc:44:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_min_u8.o [ 45%] Built target gmock Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_min_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_min_u32.o Scanning dependencies of target gmock_main Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_min_i64.o [ 45%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock_main.dir/src/gmock_main.cc.o get_node_types_cpu.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_min_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_min_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_min_f32.o node2vec.cc node2vec_cpu.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_min_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_max_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_max_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_max_i32.o randomwalk_cpu.cc randomwalk_with_restart_cpu.cc randomwalks.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_max_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_max_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_max_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_max_f16.o dglgraph_serialize.cc graph_serialize.cc heterograph_serialize.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_max_f32.o /usr/bin/ar: creating lib/libxsmmgen.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_max_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.o tensor_serialize.cc zerocopy_serializer.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\runtime\utils.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\aten\./array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\runtime\utils.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl/aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.o [ 46%] Linking CXX static library libdmlc.a shared_mem_manager.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\gk_ops.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\gk_ops.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\creators.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\creators.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] subgraph.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o [ 46%] Linking CXX static library ../../../lib/libgmock_main.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.o [ 46%] Built target dmlc Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4483@7 [Pipeline] { [Pipeline] checkout compact.cc line_graph.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_traversal.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_traversal.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(51): message : see previous definition of 'INT32_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(55): message : see previous definition of 'INT32_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(52): message : see previous definition of 'INT64_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(56): message : see previous definition of 'INT64_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.o [ 46%] Built target gmock_main Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.o [ 48%] Linking CXX static library libtensorpipe.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.o metis_partition_hetero.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.o 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_apis.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_apis.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] partition_hetero.cc remove_edges.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\get_node_types_cpu.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\get_node_types_cpu.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.o [ 48%] Built target tensorpipe Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f64.o 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\nodeflow.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\nodeflow.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\negative\global_uniform.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\negative\global_uniform.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] to_bipartite.cc to_simple.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sum_i32.o Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4483@7 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\immutable_graph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\immutable_graph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] unit_graph.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph.cc(524): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph.cc(425): message : see reference to function template instantiation 'dgl::FlattenedHeteroGraphPtr dgl::HeteroGraph::FlattenImpl(const std::vector> &) const' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_op.cc(407): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\pickle.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\pickle.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\neighbor\neighbor.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sum_f16.o _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\neighbor\neighbor.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc(1507,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] scheduler.cc scheduler_apis.cc 18>C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc(1712,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc(1656): message : while compiling class template member function 'void dgl::WeightedEdgeSamplerObject::Fetch(dgl::runtime::DGLRetValue *)' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc(1884): message : see reference to function template instantiation 'void dgl::WeightedEdgeSamplerObject::Fetch(dgl::runtime::DGLRetValue *)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc(1805): message : see reference to class template instantiation 'dgl::WeightedEdgeSamplerObject' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sum_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sum_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_prod_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_prod_u8.o common.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_prod_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_prod_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_prod_i64.o msg_queue.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_prod_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_prod_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_prod_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_prod_f64.o 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalks.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalks.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] socket_communicator.cc socket_pool.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph_capi.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph_capi.cc) Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_min_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_min_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_min_i32.o C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xstddef(240,54): warning C4018: '<': signed/unsigned mismatch (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xstddef(239): message : while compiling class template member function 'bool std::less::operator ()(_Ty1,_Ty2) noexcept() const' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t, IdxType=int64_t, _Ty1=const dgl::dgl_id_t &, _Ty2=const int64_t & ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\algorithm(2951): message : see reference to function template instantiation 'bool std::binary_search<_FwdIt,_Ty,std::less>(_FwdIt,_FwdIt,const _Ty &,_Pr)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _FwdIt=const int64_t *, _Ty=dgl::dgl_id_t, _Pr=std::less ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_randomwalk.h(44): message : see reference to function template instantiation 'bool std::binary_search(_FwdIt,_FwdIt,const _Ty &)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdxType=int64_t, _FwdIt=const int64_t *, _Ty=dgl::dgl_id_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_randomwalk.h(108): message : see reference to function template instantiation 'bool dgl::sampling::impl::`anonymous-namespace'::has_edge_between(const dgl::aten::CSRMatrix &,dgl::dgl_id_t,dgl::dgl_id_t)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdxType=int64_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_randomwalk.h(161): message : see reference to function template instantiation 'std::tuple dgl::sampling::impl::`anonymous-namespace'::Node2vecRandomWalkStep(IdxType *,dgl::dgl_id_t,dgl::dgl_id_t,const double,const double,int64_t,const dgl::aten::CSRMatrix &,bool,const dgl::FloatArray &,std::function)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdxType=int64_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc(31): message : see reference to function template instantiation 'std::pair dgl::sampling::impl::`anonymous-namespace'::Node2vecRandomWalk(const dgl::HeteroGraphPtr,const dgl::IdArray,const double,const double,const int64_t,const dgl::FloatArray &,std::function)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdxType=int64_t ] C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc(39): message : see reference to function template instantiation 'std::pair dgl::sampling::impl::Node2vec(const dgl::HeteroGraphPtr,const dgl::IdArray,const double,const double,const int64_t,const dgl::FloatArray &)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xstddef(242,43): warning C4018: '<': signed/unsigned mismatch (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\algorithm(2945): message : see reference to function template instantiation 'bool std::less::operator ()(_Ty1,_Ty2) noexcept const' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t, IdxType=int64_t, _Ty1=const dgl::dgl_id_t &, _Ty2=const int64_t & ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc) 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\network.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\network.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\tensor_serialize.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\tensor_serialize.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_min_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_min_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_min_u64.o tcp_socket.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(207,16): warning C4244: 'initializing': conversion from '_Ty' to '_Ty1', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty=std::chrono::system_clock::rep ] and [ _Ty1=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xmemory(671): message : see reference to function template instantiation 'std::pair::pair<__int64,int,0>(std::pair<__int64,int> &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdxType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xmemory(671): message : see reference to function template instantiation 'std::pair::pair<__int64,int,0>(std::pair<__int64,int> &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdxType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\vector(687): message : see reference to function template instantiation 'void std::_Default_allocator_traits<_Alloc>::construct<_Ty,std::pair<__int64,int>>(_Alloc &,_Objty *const ,std::pair<__int64,int> &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Alloc=std::allocator>, _Ty=std::pair, _Objty=std::pair ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\vector(687): message : see reference to function template instantiation 'void std::_Default_allocator_traits<_Alloc>::construct<_Ty,std::pair<__int64,int>>(_Alloc &,_Objty *const ,std::pair<__int64,int> &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Alloc=std::allocator>, _Ty=std::pair, _Objty=std::pair ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\vector(705): message : see reference to function template instantiation 'void std::vector,std::allocator>>::_Emplace_back_with_unused_capacity<_Ty>(_Ty &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdxType=int32_t, _Ty=std::pair<__int64,int> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_cpu.cc(59): message : see reference to function template instantiation 'void std::vector,std::allocator>>::emplace_back>(std::pair<__int64,int> &&)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdxType=int32_t ] C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_cpu.cc(114): message : see reference to function template instantiation 'std::tuple dgl::sampling::impl::SelectPinSageNeighbors(const dgl::IdArray,const dgl::IdArray,const int64_t,const int64_t)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Cleaning workspace Fetching without tags Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_min_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_min_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_min_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_max_i8.o 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\dglgraph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\aten\./array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\dglgraph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl/aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_max_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_max_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_max_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_max_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_max_u64.o > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 18>C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(51): message : see previous definition of 'INT32_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(55): message : see previous definition of 'INT32_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(52): message : see previous definition of 'INT64_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(56): message : see previous definition of 'INT64_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_max_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_max_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_max_f64.o 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\graph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\graph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,1): warning C4267: '=': conversion from 'size_t' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=unsigned __int64, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc(784): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.o Commit message: "revert the test code being reverted in #4956" Cleaning workspace Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.o ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\subgraph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\subgraph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\heterograph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\heterograph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\line_graph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\line_graph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.o 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.o [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\shared_mem_manager.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\shared_mem_manager.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] [Pipeline] sh Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.o 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\tuple(632,57): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc(65): message : see reference to function template instantiation 'std::tuple &std::tuple::operator =(std::pair &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc(65): message : see reference to function template instantiation 'std::tuple &std::tuple::operator =(std::pair &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc(147): message : see reference to function template instantiation 'std::pair>,std::vector>> dgl::transform::`anonymous-namespace'::CompactGraphsCPU(const std::vector> &,const std::vector> &)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\tuple(633,58): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc) 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4244: 'initializing': conversion from '_Ty' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\../../array/cpu/array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\../../array/cpu/array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\../../array/cpu/array_utils.h(51): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc(82): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc(76): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\remove_edges.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\remove_edges.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] + docker pull rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_simple.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_simple.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.o 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\partition_hetero.cc(109): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\scheduler\scheduler_apis.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\scheduler\scheduler_apis.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\../../array/cpu/array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\../../array/cpu/array_utils.h(58): message : see reference to function template instantiation 'std::pair::pair(_Other1,_Other2 &&) noexcept' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ K=int32_t, V=int32_t, IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\../../array/cpu/array_utils.h(51): message : while compiling class template member function 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_bipartite.cc(83): message : see reference to function template instantiation 'void dgl::aten::IdHashMap::Update(dgl::IdArray)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_bipartite.cc(83): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_bipartite.cc(151): message : see reference to function template instantiation 'std::tuple>> dgl::transform::`anonymous-namespace'::ToBlockCPU(dgl::HeteroGraphPtr,const std::vector> &,bool,std::vector> *const )' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12: Pulling from rapidsai/cugraph_nightly_torch-cuda Digest: sha256:e2e62a12692e2748b06af925280deb518701a0a601478edbeba0bcb9b89ef847 Status: Image is up to date for rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 docker.io/rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\rpc\network\socket_communicator.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\rpc\network\socket_communicator.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] + docker inspect -f . rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -u root -w /root/jenkins/workspace/dgl_PR-4483@7 -v /root/jenkins/workspace/dgl_PR-4483@7:/root/jenkins/workspace/dgl_PR-4483@7:rw,z -v /root/jenkins/workspace/dgl_PR-4483@7@tmp:/root/jenkins/workspace/dgl_PR-4483@7@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 cat /usr/bin/ar: creating lib/libxsmm.a /usr/bin/ar: creating lib/libxsmmext.a ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@7a102dcb6019) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- BLAS dependency and fallback is removed! -------------------------------------------------------------------------------- [ 48%] Built target libxsmm $ docker top 18281e1ba020dca93195621905de82b48e6c39f0d2521335dd28977decf46753 -eo pid,comm C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4483\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4483\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\pcg\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D "CMAKE_INTDIR=\"Release\"" /D dgl_EXPORTS /D _WINDLL /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /std:c++14 /Fo"dgl.dir\Release\/src/array/cpu/traversal.cc.obj" /Fd"dgl.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\traversal.cc" traversal.cc [Pipeline] { [Pipeline] sh 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dgl_sparse dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@1a2ea182; decorates RemoteLauncher[hudson.remoting.Channel@653504b6:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4483\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4483\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\pcg\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D "CMAKE_INTDIR=\"Release\"" /D dgl_EXPORTS /D _WINDLL /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /std:c++14 /Fo"dgl.dir\Release\/src/array/union_partition.cc.obj" /Fd"dgl.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4483\src\array\union_partition.cc" Fetching without tags union_partition.cc Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483@7/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Commit message: "revert the test code being reverted in #4956" Cleaning workspace C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4483\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4483\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\pcg\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D "CMAKE_INTDIR=\"Release\"" /D dgl_EXPORTS /D _WINDLL /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /std:c++14 /Fo"dgl.dir\Release\/src/graph/transform/cpu/knn.cc.obj" /Fd"dgl.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\cpu\knn.cc" knn.cc [Pipeline] sh > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/METIS'... 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/dmlc-core'... C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4483\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4483\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\pcg\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D "CMAKE_INTDIR=\"Release\"" /D dgl_EXPORTS /D _WINDLL /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /std:c++14 /Fo"dgl.dir\Release\/src/graph/transform/knn.cc.obj" /Fd"dgl.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\knn.cc" knn.cc Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/googletest'... 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4483\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4483\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\pcg\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D "CMAKE_INTDIR=\"Release\"" /D dgl_EXPORTS /D _WINDLL /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /std:c++14 /Fo"dgl.dir\Release\/src/graph/transform/union_partition.cc.obj" /Fd"dgl.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\union_partition.cc" union_partition.cc Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/libxsmm'... 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4483\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4483\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\pcg\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\include" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D "CMAKE_INTDIR=\"Release\"" /D dgl_EXPORTS /D _WINDLL /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /std:c++14 /Fo"dgl.dir\Release\/src/graph/traversal.cc.obj" /Fd"dgl.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4483\src\graph\traversal.cc" traversal.cc 18>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] 18>PreLinkEvent: Auto build dll exports setlocal cd C:\Jenkins\workspace\dgl_PR-4483\build if %errorlevel% neq 0 goto :cmEnd C: if %errorlevel% neq 0 goto :cmEnd "C:\Program Files\CMake\bin\cmake.exe" -E __create_def C:/Jenkins/workspace/dgl_PR-4483/build/dgl.dir/Release/exports.def C:/Jenkins/workspace/dgl_PR-4483/build/dgl.dir/Release//objects.txt if %errorlevel% neq 0 goto :cmEnd :cmEnd endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone :cmErrorLevel exit /b %1 :cmDone if %errorlevel% neq 0 goto :VCEnd :VCEnd Link: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\link.exe /ERRORREPORT:QUEUE /OUT:"C:\Jenkins\workspace\dgl_PR-4483\build\Release\dgl.dll" /INCREMENTAL:NO /NOLOGO "third_party\dmlc-core\Release\dmlc.lib" kernel32.lib user32.lib gdi32.lib winspool.lib shell32.lib ole32.lib oleaut32.lib uuid.lib comdlg32.lib advapi32.lib /DEF:"C:/Jenkins/workspace/dgl_PR-4483/build/dgl.dir/Release/exports.def" /MANIFEST /MANIFESTUAC:"level='asInvoker' uiAccess='false'" /manifest:embed /PDB:"C:/Jenkins/workspace/dgl_PR-4483/build/Release/dgl.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4483/build/Release/dgl.lib" /MACHINE:X64 /machine:x64 /DLL dgl.dir\Release\array.obj dgl.dir\Release\array_arith.obj dgl.dir\Release\array_cumsum.obj dgl.dir\Release\array_index_select.obj dgl.dir\Release\array_nonzero.obj dgl.dir\Release\array_op_impl.obj dgl.dir\Release\array_pack.obj dgl.dir\Release\array_repeat.obj dgl.dir\Release\array_scatter.obj dgl.dir\Release\array_sort.obj dgl.dir\Release\coo_coalesce.obj dgl.dir\Release\coo_linegraph.obj dgl.dir\Release\coo_remove.obj dgl.dir\Release\coo_sort.obj dgl.dir\Release\csr_get_data.obj dgl.dir\Release\csr_mm.obj dgl.dir\Release\csr_remove.obj dgl.dir\Release\csr_sort.obj dgl.dir\Release\csr_sum.obj dgl.dir\Release\csr_to_simple.obj dgl.dir\Release\csr_union.obj dgl.dir\Release\disjoint_union.obj dgl.dir\Release\gather_mm.obj dgl.dir\Release\labor_sampling.obj dgl.dir\Release\negative_sampling.obj dgl.dir\Release\rowwise_sampling.obj dgl.dir\Release\rowwise_topk.obj dgl.dir\Release\sddmm.obj dgl.dir\Release\segment_reduce.obj dgl.dir\Release\spmat_op_impl_coo.obj dgl.dir\Release\spmat_op_impl_csr.obj dgl.dir\Release\spmm.obj dgl.dir\Release\filter.obj dgl.dir\Release\kernel.obj dgl.dir\Release\libra_partition.obj dgl.dir\Release\uvm_array.obj dgl.dir\Release\bcast.obj dgl.dir\Release\c_api_common.obj dgl.dir\Release\geometry_op_impl.obj dgl.dir\Release\geometry.obj dgl.dir\Release\ndarray_partition.obj dgl.dir\Release\choice.obj dgl.dir\Release\random.obj dgl.dir\Release\c_object_api.obj dgl.dir\Release\c_runtime_api.obj dgl.dir\Release\config.obj dgl.dir\Release\cpu_device_api.obj dgl.dir\Release\dlpack_convert.obj dgl.dir\Release\dso_module.obj dgl.dir\Release\file_util.obj dgl.dir\Release\module.obj dgl.dir\Release\module_util.obj dgl.dir\Release\ndarray.obj dgl.dir\Release\object.obj dgl.dir\Release\registry.obj dgl.dir\Release\resource_manager.obj dgl.dir\Release\semaphore_wrapper.obj dgl.dir\Release\shared_mem.obj dgl.dir\Release\system_lib_module.obj dgl.dir\Release\tensordispatch.obj dgl.dir\Release\thread_pool.obj dgl.dir\Release\threading_backend.obj dgl.dir\Release\utils.obj dgl.dir\Release\workspace_pool.obj dgl.dir\Release\api_container.obj dgl.dir\Release\api_test.obj dgl.dir\Release\creators.obj dgl.dir\Release\gk_ops.obj dgl.dir\Release\graph.obj dgl.dir\Release\graph_apis.obj dgl.dir\Release\graph_op.obj dgl.dir\Release\graph_traversal.obj dgl.dir\Release\heterograph.obj dgl.dir\Release\heterograph_capi.obj dgl.dir\Release\immutable_graph.obj dgl.dir\Release\metis_partition.obj dgl.dir\Release\network.obj dgl.dir\Release\nodeflow.obj dgl.dir\Release\pickle.obj dgl.dir\Release\sampler.obj dgl.dir\Release\global_uniform.obj dgl.dir\Release\neighbor.obj dgl.dir\Release\get_node_types_cpu.obj dgl.dir\Release\node2vec.obj dgl.dir\Release\node2vec_cpu.obj dgl.dir\Release\randomwalk_cpu.obj dgl.dir\Release\randomwalk_with_restart_cpu.obj dgl.dir\Release\randomwalks.obj dgl.dir\Release\dglgraph_serialize.obj dgl.dir\Release\graph_serialize.obj dgl.dir\Release\heterograph_serialize.obj dgl.dir\Release\tensor_serialize.obj dgl.dir\Release\zerocopy_serializer.obj dgl.dir\Release\shared_mem_manager.obj dgl.dir\Release\subgraph.obj dgl.dir\Release\compact.obj dgl.dir\Release\line_graph.obj dgl.dir\Release\metis_partition_hetero.obj dgl.dir\Release\partition_hetero.obj dgl.dir\Release\remove_edges.obj dgl.dir\Release\to_bipartite.obj dgl.dir\Release\to_simple.obj dgl.dir\Release\unit_graph.obj dgl.dir\Release\scheduler.obj dgl.dir\Release\scheduler_apis.obj dgl.dir\Release\common.obj dgl.dir\Release\msg_queue.obj dgl.dir\Release\socket_communicator.obj dgl.dir\Release\socket_pool.obj dgl.dir\Release\tcp_socket.obj dgl.dir\Release\/src/array/cpu/traversal.cc.obj dgl.dir\Release\/src/array/union_partition.cc.obj dgl.dir\Release\/src/graph/transform/cpu/knn.cc.obj dgl.dir\Release\/src/graph/transform/knn.cc.obj dgl.dir\Release\/src/graph/transform/union_partition.cc.obj dgl.dir\Release\/src/graph/traversal.cc.obj Creating library C:/Jenkins/workspace/dgl_PR-4483/build/Release/dgl.lib and object C:/Jenkins/workspace/dgl_PR-4483/build/Release/dgl.exp dgl.vcxproj -> C:\Jenkins\workspace\dgl_PR-4483\build\Release\dgl.dll PostBuildEvent: setlocal "C:\Program Files\CMake\bin\cmake.exe" -E copy C:/Jenkins/workspace/dgl_PR-4483/build/Release/dgl.dll C:/Jenkins/workspace/dgl_PR-4483/build/Release/.. if %errorlevel% neq 0 goto :cmEnd :cmEnd endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone :cmErrorLevel exit /b %1 :cmDone if %errorlevel% neq 0 goto :VCEnd :VCEnd FinalizeBuildStatus: Deleting file "dgl.dir\Release\dgl.tlog\unsuccessfulbuild". Touching "dgl.dir\Release\dgl.tlog\dgl.lastbuildstate". 18>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj" (default targets). 3>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj.metaproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj.metaproj" (9) on node 1 (default targets). 9>Project "C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj.metaproj" (9) is building "C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj" (19) on node 1 (default targets). 19>PrepareForBuild: Creating directory "runUnitTests.dir\Release\". Creating directory "runUnitTests.dir\Release\runUnitTests.tlog\". InitializeBuildStatus: Creating "runUnitTests.dir\Release\runUnitTests.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4483/CMakeLists.txt ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4483\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\pcg\include" /I"C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest" /nologo /W1 /WX- /diagnostics:column /MP /O2 /Ob2 /D DGL_EXPORTS /D USE_AVX /D USE_LIBXSMM /D DGL_CPU_LLC_SIZE=40000000 /D IDXTYPEWIDTH=64 /D REALTYPEWIDTH=32 /D NDEBUG /D WIN32_LEAN_AND_MEAN /D _CRT_SECURE_NO_WARNINGS /D _SCL_SECURE_NO_WARNINGS /D NOMINMAX /D ENABLE_PARTIAL_FRONTIER=0 /D __USE_XOPEN2K8 /D DMLC_CORE_USE_CMAKE /D DMLC_USE_CXX11=1 /D "CMAKE_INTDIR=\"Release\"" /D _MBCS /Gm- /EHsc /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /openmp /Fo"runUnitTests.dir\Release\\" /Fd"runUnitTests.dir\Release\vc142.pdb" /Gd /TP /errorReport:queue "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\graph_index_test.cc" "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\message_queue_test.cc" "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\socket_communicator_test.cc" "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\string_test.cc" "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_aten.cc" "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_csrmm.cc" "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_partition.cc" "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_rowwise.cc" "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_sampler.cc" "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_smart_ptr_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_spmat_coo.cc" "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_spmat_csr.cc" "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_spmm.cc" "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_unit_graph.cc" "C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_zerocopy_serialize.cc" graph_index_test.cc message_queue_test.cc socket_communicator_test.cc string_test.cc test_aten.cc test_csrmm.cc test_partition.cc test_rowwise.cc test_sampler.cc test_serialize.cc test_smart_ptr_serialize.cc test_spmat_coo.cc test_spmat_csr.cc test_spmm.cc test_unit_graph.cc test_zerocopy_serialize.cc 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\graph_index_test.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\graph_index_test.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_partition.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_partition.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_spmat_csr.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_spmat_csr.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_unit_graph.cc(129,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_unit_graph.cc(392): message : see reference to function template instantiation 'void _TestUnitGraph(DGLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_unit_graph.cc(131,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_unit_graph.cc(134,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_unit_graph.cc(136,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_spmat_coo.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_spmat_coo.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_zerocopy_serialize.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_zerocopy_serialize.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_serialize.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_serialize.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_aten.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_aten.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_rowwise.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_rowwise.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_csrmm.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/array_ops.h(362): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_csrmm.cc) C:\Jenkins\workspace\dgl_PR-4483\include\dgl\./aten/coo.h(239): message : see reference to function template instantiation 'dgl::IdArray dgl::aten::VecToIdArray(const std::vector> &,uint8_t,DGLContext)' being compiled (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] Link: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\link.exe /ERRORREPORT:QUEUE /OUT:"C:\Jenkins\workspace\dgl_PR-4483\build\Release\runUnitTests.exe" /INCREMENTAL:NO /NOLOGO lib\Release\gtest.lib lib\Release\gtest_main.lib Release\dgl.lib lib\Release\gtest.lib "third_party\dmlc-core\Release\dmlc.lib" kernel32.lib user32.lib gdi32.lib winspool.lib shell32.lib ole32.lib oleaut32.lib uuid.lib comdlg32.lib advapi32.lib /MANIFEST /MANIFESTUAC:"level='asInvoker' uiAccess='false'" /manifest:embed /PDB:"C:/Jenkins/workspace/dgl_PR-4483/build/Release/runUnitTests.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4483/build/Release/runUnitTests.lib" /MACHINE:X64 /machine:x64 runUnitTests.dir\Release\graph_index_test.obj runUnitTests.dir\Release\message_queue_test.obj runUnitTests.dir\Release\socket_communicator_test.obj runUnitTests.dir\Release\string_test.obj runUnitTests.dir\Release\test_aten.obj runUnitTests.dir\Release\test_csrmm.obj runUnitTests.dir\Release\test_partition.obj runUnitTests.dir\Release\test_rowwise.obj runUnitTests.dir\Release\test_sampler.obj runUnitTests.dir\Release\test_serialize.obj runUnitTests.dir\Release\test_smart_ptr_serialize.obj runUnitTests.dir\Release\test_spmat_coo.obj runUnitTests.dir\Release\test_spmat_csr.obj runUnitTests.dir\Release\test_spmm.obj runUnitTests.dir\Release\test_unit_graph.obj runUnitTests.dir\Release\test_zerocopy_serialize.obj Creating library C:/Jenkins/workspace/dgl_PR-4483/build/Release/runUnitTests.lib and object C:/Jenkins/workspace/dgl_PR-4483/build/Release/runUnitTests.exp Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/pcg'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/phmap'... runUnitTests.vcxproj -> C:\Jenkins\workspace\dgl_PR-4483\build\Release\runUnitTests.exe FinalizeBuildStatus: Deleting file "runUnitTests.dir\Release\runUnitTests.tlog\unsuccessfulbuild". Touching "runUnitTests.dir\Release\runUnitTests.tlog\runUnitTests.lastbuildstate". 19>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj" (default targets). 9>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj.metaproj" (default targets). 2>Project "C:\Jenkins\workspace\dgl_PR-4483\build\ALL_BUILD.vcxproj.metaproj" (2) is building "C:\Jenkins\workspace\dgl_PR-4483\build\ALL_BUILD.vcxproj" (20) on node 4 (default targets). 20>PrepareForBuild: Creating directory "x64\Release\ALL_BUILD\". Creating directory "x64\Release\ALL_BUILD\ALL_BUILD.tlog\". InitializeBuildStatus: Creating "x64\Release\ALL_BUILD\ALL_BUILD.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4483/CMakeLists.txt FinalizeBuildStatus: Deleting file "x64\Release\ALL_BUILD\ALL_BUILD.tlog\unsuccessfulbuild". Touching "x64\Release\ALL_BUILD\ALL_BUILD.tlog\ALL_BUILD.lastbuildstate". 20>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\ALL_BUILD.vcxproj" (default targets). 2>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\ALL_BUILD.vcxproj.metaproj" (default targets). 1>Done Building Project "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (default targets). Build succeeded. "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (default target) (4) -> "C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj" (default target) (16) -> (ClCompile target) -> C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\line_split.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\filesys.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\indexed_recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\input_split_base.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\third_party\dmlc-core\src\io\local_filesys.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\third_party\dmlc-core\dmlc.vcxproj] "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(4088,24): warning C4244: '=': conversion from 'const _Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\labor_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\numeric(817,20): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4244: 'initializing': conversion from '_Ty' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(390,13): warning C4477: 'fscanf' : format string '%ld' requires an argument of type 'long *', but variadic argument 1 has type 'int64_t *' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(390,13): warning C4477: 'fscanf' : format string '%ld' requires an argument of type 'long *', but variadic argument 2 has type 'int64_t *' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(276,17): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(276,17): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 2 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(276,17): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 3 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(288,10): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'unsigned __int64' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(291,17): warning C4477: 'fprintf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(294,43): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc(298,43): warning C4477: 'printf' : format string '%ld' requires an argument of type 'long', but variadic argument 1 has type 'int64_t' [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc(1507,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc(1712,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xstddef(240,54): warning C4018: '<': signed/unsigned mismatch (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xstddef(242,43): warning C4018: '<': signed/unsigned mismatch (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(207,16): warning C4244: 'initializing': conversion from '_Ty' to '_Ty1', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,1): warning C4267: '=': conversion from 'size_t' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\tuple(632,57): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\tuple(633,58): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4244: 'initializing': conversion from '_Ty' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj" (default target) (18) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4483\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4483\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj.metaproj" (default target) (9) -> "C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj" (default target) (19) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_unit_graph.cc(129,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_unit_graph.cc(131,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_unit_graph.cc(134,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_unit_graph.cc(136,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4483\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4483\build\runUnitTests.vcxproj] 146 Warning(s) 0 Error(s) Time Elapsed 00:00:45.37 1 file(s) copied. Could Not Find C:\Jenkins\workspace\dgl_PR-4483\python\build Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tensorpipe'... [ 92%] Linking CXX shared library libdgl.so [ 92%] Built target dgl Scanning dependencies of target dgl_sparse Scanning dependencies of target rpc_server Scanning dependencies of target rpc_client -DCUDA_TOOLKIT_ROOT_DIR= -DTORCH_CUDA_ARCH_LIST= -DUSE_CUDA=OFF -DDGL_INCLUDE_DIRS=/root/jenkins/workspace/dgl_PR-4483@5/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/phmap/;/root/jenkins/workspace/dgl_PR-4483@5/third_party/xbyak/;/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/include/;/root/jenkins/workspace/dgl_PR-4483@5/tensoradapter/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/nanoflann/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/pcg/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/GKlib;/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe;/root/jenkins/workspace/dgl_PR-4483@5/third_party/googletest/googletest/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/googletest/googletest;/root/jenkins/workspace/dgl_PR-4483@5/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/xbyak;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/phmap;/root/jenkins/workspace/dgl_PR-4483@5/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/pcg/include -DDGL_BUILD_DIR=/root/jenkins/workspace/dgl_PR-4483@5/build [ 93%] Building CXX object CMakeFiles/rpc_client.dir/tests/dist/cpp/rpc_client.cc.o [ 93%] Building CXX object CMakeFiles/rpc_server.dir/tests/dist/cpp/rpc_server.cc.o Scanning dependencies of target runUnitTests [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/message_queue_test.cc.o [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/graph_index_test.cc.o [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/socket_communicator_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/string_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_aten.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_csrmm.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_partition.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_rowwise.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_sampler.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_serialize.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_smart_ptr_serialize.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_coo.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_csr.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmm.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_unit_graph.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_zerocopy_serialize.cc.o -- The C compiler identification is GNU 7.5.0 -- The CXX compiler identification is GNU 7.5.0 -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Using Python interpreter: /opt/conda/envs/pytorch-ci/bin/python /root/jenkins/workspace/dgl_PR-4483@5/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4483@5/tests/dist/cpp/rpc_client.cc:50:15: warning: unused variable 'num_machines' [-Wunused-variable] const int num_machines = ips_.size(); ^~~~~~~~~~~~ Obtaining file:///C:/Jenkins/workspace/dgl_PR-4483/python Preparing metadata (setup.py): started Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/thrust'... Preparing metadata (setup.py): finished with status 'done' Requirement already satisfied: numpy>=1.14.0 in c:\program files\python36\lib\site-packages (from dgl==0.10) (1.19.5) Requirement already satisfied: scipy>=1.1.0 in c:\program files\python36\lib\site-packages (from dgl==0.10) (1.2.0) Requirement already satisfied: networkx>=2.1 in c:\program files\python36\lib\site-packages (from dgl==0.10) (2.2) Requirement already satisfied: requests>=2.19.0 in c:\program files\python36\lib\site-packages (from dgl==0.10) (2.24.0) Requirement already satisfied: tqdm in c:\program files\python36\lib\site-packages (from dgl==0.10) (4.58.0) Collecting psutil>=5.8.0 Using cached psutil-5.9.4-cp36-abi3-win_amd64.whl (252 kB) Requirement already satisfied: decorator>=4.3.0 in c:\program files\python36\lib\site-packages (from networkx>=2.1->dgl==0.10) (4.4.2) Requirement already satisfied: certifi>=2017.4.17 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.10) (2020.6.20) Requirement already satisfied: chardet<4,>=3.0.2 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.10) (3.0.4) Requirement already satisfied: idna<3,>=2.5 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.10) (2.10) Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in c:\program files\python36\lib\site-packages (from requests>=2.19.0->dgl==0.10) (1.25.10) [100%] Linking CXX executable rpc_server [100%] Linking CXX executable rpc_client [100%] Built target rpc_server [100%] Built target rpc_client -- find_cmake.py output: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake;1.12.0 -- Configuring for PyTorch 1.12.0 -- Setting directory to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch -- Looking for pthread.h Installing collected packages: psutil, dgl Running setup.py develop for dgl -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): static library kineto_LIBRARY-NOTFOUND not found. Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found) CMakeLists.txt:29 (find_package) -- Found Torch: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/lib/libtorch.so -- DGL include directories: /root/jenkins/workspace/dgl_PR-4483@5/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/phmap/;/root/jenkins/workspace/dgl_PR-4483@5/third_party/xbyak/;/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/include/;/root/jenkins/workspace/dgl_PR-4483@5/tensoradapter/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/nanoflann/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/pcg/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/GKlib;/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe;/root/jenkins/workspace/dgl_PR-4483@5/third_party/googletest/googletest/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/googletest/googletest;/root/jenkins/workspace/dgl_PR-4483@5/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/xbyak;/root/jenkins/workspace/dgl_PR-4483@5/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/phmap;/root/jenkins/workspace/dgl_PR-4483@5/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@5/third_party/pcg/include -- Configuring done -- Generating done CMake Warning: Manually-specified variables were not used by the project: CUDA_TOOLKIT_ROOT_DIR TORCH_CUDA_ARCH_LIST -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4483@5/dgl_sparse/build Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tvm'... Successfully installed dgl psutil-5.9.4 [Pipeline] echo Packing build\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll into dgl-cpu-win64 [Pipeline] stash Scanning dependencies of target dgl_sparse_pytorch_1.12.0 [ 8%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/elemenwise_op.cc.o [ 16%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/matmul.cc.o [ 25%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/python_binding.cc.o [ 33%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/reduction.cc.o [ 41%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/sddmm.cc.o [ 50%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/softmax.cc.o [ 58%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/sparse_format.cc.o [ 66%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/sparse_matrix.cc.o [ 75%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/sparse_matrix_coalesce.cc.o [ 83%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/spmm.cc.o [ 91%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/spspmm.cc.o Stashed 2 file(s) Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tensorpipe/third_party/googletest'... [100%] Linking CXX executable runUnitTests [100%] Built target runUnitTests Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tensorpipe/third_party/libuv'... [100%] Linking CXX shared library libdgl_sparse_pytorch_1.12.0.so [100%] Built target dgl_sparse_pytorch_1.12.0 'libdgl_sparse_pytorch_1.12.0.so' -> '/root/jenkins/workspace/dgl_PR-4483@5/build/dgl_sparse/libdgl_sparse_pytorch_1.12.0.so' [100%] Built target dgl_sparse ~/jenkins/workspace/dgl_PR-4483@5 ~/jenkins/workspace/dgl_PR-4483@5/python ~/jenkins/workspace/dgl_PR-4483@5 Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tensorpipe/third_party/pybind11'... WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-cpython-37 creating build/lib.linux-x86_64-cpython-37/dgl copying dgl/partition.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/core.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/base.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/global_config.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/network.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/logging.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/udf.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/init.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/view.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/generators.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/convert.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/container.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/merge.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/readout.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/batch.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/frame.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/_sparse_ops.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/random.py -> build/lib.linux-x86_64-cpython-37/dgl creating build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/unary_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/sp_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/unary_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/diag_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/reduction.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/matmul.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse creating build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry creating build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/function creating build/lib.linux-x86_64-cpython-37/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn creating build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/nodewise.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/fused.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/edgewise.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops creating build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-cpython-37/dgl/utils creating build/lib.linux-x86_64-cpython-37/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-cpython-37/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/multiprocessing creating build/lib.linux-x86_64-cpython-37/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim creating build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/labor_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading creating build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-cpython-37/dgl/backend creating build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops creating build/lib.linux-x86_64-cpython-37/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-cpython-37/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/cuda creating build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-cpython-37/dgl/storages creating build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/labor.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling creating build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-cpython-37/dgl/data creating build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed creating build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms creating build/lib.linux-x86_64-cpython-37/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn creating build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi creating build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/unary_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/diag_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/reduction.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/matmul.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/unary_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/sparse_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/graph_transformer.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/network_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/functional creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cugraph_relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition creating build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-cpython-37 creating build/temp.linux-x86_64-cpython-37/dgl creating build/temp.linux-x86_64-cpython-37/dgl/_ffi creating build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -std=c++11 Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/thrust/dependencies/cub'... g++ -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/unary_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/sp_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/unary_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/cugraph_relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/graph_transformer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/network_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-cpython-37/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional creating build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/nodewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/fused.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/edgewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/global_config.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/labor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-37/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-37/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/labor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-cpython-37/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/_sparse_ops.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/unary_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/unary_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/sparse_matrix.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/softmax.py -> build/bdist.linux-x86_64/egg/dgl/sparse byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_diag.py to unary_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sp_matrix.py to sp_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_sp.py to unary_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cugraph_relgraphconv.py to cugraph_relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/graph_transformer.py to graph_transformer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/network_emb.py to network_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/nodewise.py to nodewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/fused.py to fused.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/edgewise.py to edgewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/global_config.py to global_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/labor_sampler.py to labor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/labor.py to labor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_sparse_ops.py to _sparse_ops.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/unary_op_diag.py to unary_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/diag_matrix.py to diag_matrix.cpython-37.pyc Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/unary_op_sp.py to unary_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/sparse_matrix.py to sparse_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/softmax.py to softmax.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.12.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/dgl/dgl_sparse copying ../build/dgl_sparse/libdgl_sparse_pytorch_1.12.0.so -> build/bdist.linux-x86_64/egg/dgl/dgl_sparse creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.10-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tvm/3rdparty/dlpack'... removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.10-py3.7-linux-x86_64.egg creating /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Extracting dgl-0.10-py3.7-linux-x86_64.egg to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tvm/3rdparty/dmlc-core'... Adding dgl 0.10 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Processing dependencies for dgl==0.10 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] sh + bash tests/scripts/build_dgl.sh cugraph ~/jenkins/workspace/dgl_PR-4483@7/build ~/jenkins/workspace/dgl_PR-4483@7 -- The C compiler identification is GNU 7.5.0 -- The CXX compiler identification is GNU 7.5.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/cc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Start configuring project dgl -- Build with CUDA support -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Found CUDA: /usr/local/cuda (found version "11.5") -- Found CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda -- Found CUDA_CUDART_LIBRARY=/usr/local/cuda/lib64/libcudart.so -- Found CUDA_CUBLAS_LIBRARY=/opt/conda/lib/libcublas.so -- Found CUDA_CURAND_LIBRARY=/opt/conda/lib/libcurand.so -- Performing Test SUPPORT_CXX14 -- Performing Test SUPPORT_CXX14 - Success -- Use external CUB/Thrust library for a consistent API and performance. Downloading https://files.pythonhosted.org/packages/6e/c8/784968329c1c67c28cce91991ef9af8a8913aa5a3399a6a8954b1380572f/psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=54c0d3d8e0078b7666984e11b12b88af2db11d11249a8ac8920dd5ef68a66e08 Best match: psutil 5.9.4 Processing psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding psutil 5.9.4 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/psutil-5.9.4-py3.7-linux-x86_64.egg Searching for tqdm==4.64.1 Best match: tqdm 4.64.1 Adding tqdm 4.64.1 to easy-install.pth file Installing tqdm script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for scipy==1.7.3 Best match: scipy 1.7.3 Adding scipy 1.7.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for numpy==1.21.6 Best match: numpy 1.21.6 Adding numpy 1.21.6 to easy-install.pth file Installing f2py script to /opt/conda/envs/pytorch-ci/bin Installing f2py3 script to /opt/conda/envs/pytorch-ci/bin Installing f2py3.7 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for certifi==2022.9.24 Best match: certifi 2022.9.24 Adding certifi 2022.9.24 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for urllib3==1.26.13 Best match: urllib3 1.26.13 Adding urllib3 1.26.13 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for idna==3.4 Best match: idna 3.4 Adding idna 3.4 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.1 Best match: charset-normalizer 2.1.1 Adding charset-normalizer 2.1.1 to easy-install.pth file Installing normalizer script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/build_py.py:202: SetuptoolsDeprecationWarning: Installing 'dgl._ffi._cython' as data is deprecated, please list it in `packages`. !! ############################ # Package would be ignored # ############################ Python recognizes 'dgl._ffi._cython' as an importable package, but it is not listed in the `packages` configuration of setuptools. 'dgl._ffi._cython' has been automatically added to the distribution only because it may contain data files, but this behavior is likely to change in future versions of setuptools (and therefore is considered deprecated). Please make sure that 'dgl._ffi._cython' is included as a package by using the `packages` configuration field or the proper discovery methods (for example by using `find_namespace_packages(...)`/`find_namespace:` instead of `find_packages(...)`/`find:`). You can read more about "package discovery" and "data files" on setuptools documentation page. !! check.warn(importable) /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, -- Found OpenMP_C: -fopenmp (found version "4.5") [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Found OpenMP: TRUE (found version "4.5") -- Build with OpenMP. -- Build with LIBXSMM optimization. -- Looking for sys/epoll.h -- Looking for sys/epoll.h - found -- -fopenmp -O2 -Wall -fPIC -std=c++14 -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -- Running GPU architecture autodetection nvcc fatal : Value 'native' is not defined for option 'gpu-architecture' CMake Warning at cmake/modules/CUDA.cmake:85 (message): Running GPU detection script with nvcc failed: Call Stack (most recent call first): cmake/modules/CUDA.cmake:162 (dgl_detect_installed_gpus) cmake/modules/CUDA.cmake:300 (dgl_select_nvcc_arch_flags) CMakeLists.txt:172 (dgl_config_cuda) CMake Warning at cmake/modules/CUDA.cmake:90 (message): Automatic GPU detection failed. Building for all known architectures (35;50;60;70;80). Call Stack (most recent call first): cmake/modules/CUDA.cmake:162 (dgl_detect_installed_gpus) cmake/modules/CUDA.cmake:300 (dgl_select_nvcc_arch_flags) CMakeLists.txt:172 (dgl_config_cuda) -- CUDA flags: -Xcompiler;-fopenmp,-O2,-Wall,-fPIC,-std=c++14,,-DUSE_AVX,-DUSE_LIBXSMM,-DDGL_CPU_LLC_SIZE=40000000,-DUSE_EPOLL,-DIDXTYPEWIDTH=64,-DREALTYPEWIDTH=32;--expt-relaxed-constexpr;-gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_80,code=compute_80;--expt-extended-lambda;-Wno-deprecated-declarations;-std=c++14 -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Looking for clock_gettime in rt -- Looking for clock_gettime in rt - found -- Looking for fopen64 -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h -- Looking for C++ include cxxabi.h - found -- Looking for nanosleep -- Looking for nanosleep - found -- Looking for backtrace -- Looking for backtrace - found -- backtrace facility detected in default set of libraries -- Found Backtrace: /usr/include -- /root/jenkins/workspace/dgl_PR-4483@7/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Performing Test SUPPORT_MSSE2 -- Performing Test SUPPORT_MSSE2 - Success -- Looking for execinfo.h -- Looking for execinfo.h - found -- Looking for getline -- Looking for getline - found -- Performing Test UV_LINT_W4 -- Performing Test UV_LINT_W4 - Failed -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC -- Performing Test UV_LINT_NO_UNUSED_PARAMETER_MSVC - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC - Failed -- Performing Test UV_LINT_NO_HIDES_LOCAL -- Performing Test UV_LINT_NO_HIDES_LOCAL - Failed -- Performing Test UV_LINT_NO_HIDES_PARAM -- Performing Test UV_LINT_NO_HIDES_PARAM - Failed -- Performing Test UV_LINT_NO_HIDES_GLOBAL -- Performing Test UV_LINT_NO_HIDES_GLOBAL - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC g++ -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC - Failed -- Performing Test UV_LINT_NO_UNSAFE_MSVC -- Performing Test UV_LINT_NO_UNSAFE_MSVC - Failed -- Performing Test UV_LINT_WALL -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER -- Performing Test UV_LINT_NO_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA -- Performing Test UV_LINT_EXTRA - Success -- Performing Test UV_LINT_UTF8_MSVC -- Performing Test UV_LINT_UTF8_MSVC - Failed -- Performing Test UV_F_STRICT_ALIASING WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv -- Performing Test UV_F_STRICT_ALIASING - Success -- summary of build options: Install prefix: /usr/local Target system: Linux Compiler: C compiler: /usr/bin/cc CFLAGS: -fopenmp -O2 -fPIC -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -DLINUX -D_FILE_OFFSET_BITS=64 -std=c99 -fno-strict-aliasing -march=native -fPIC -Werror -Wno-unused-function -Wno-unused-but-set-variable -Wno-unused-variable -Wno-unknown-pragmas -DNDEBUG -DNDEBUG2 -DHAVE_EXECINFO_H -DHAVE_GETLINE -O3 -- Found uv: 1.38.1 (found version "1.38.1") -- Build with unittest CMake Deprecation Warning at third_party/googletest/CMakeLists.txt:4 (cmake_minimum_required): Compatibility with CMake < 2.8.12 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. CMake Deprecation Warning at third_party/googletest/googlemock/CMakeLists.txt:45 (cmake_minimum_required): Compatibility with CMake < 2.8.12 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. CMake Deprecation Warning at third_party/googletest/googletest/CMakeLists.txt:56 (cmake_minimum_required): Compatibility with CMake < 2.8.12 will be removed from a future version of CMake. Update the VERSION argument value or use a ... suffix to tell CMake that the project does not need compatibility with older versions. -- Found PythonInterp: /opt/conda/bin/python (found version "3.9.13") -- Building dist/rpc tests -- Configuring done CMake Warning at /opt/conda/share/cmake-3.24/Modules/FindCUDA.cmake:1985 (add_library): Cannot generate a safe runtime search path for target dgl because files in some directories may conflict with libraries in implicit directories: runtime library [libgomp.so.1] in /usr/lib/gcc/x86_64-linux-gnu/7 may be hidden by files in: /opt/conda/lib Some of these libraries may not be found correctly. Call Stack (most recent call first): CMakeLists.txt:189 (cuda_add_library) CMake Warning at /opt/conda/share/cmake-3.24/Modules/FindCUDA.cmake:1985 (add_library): Cannot generate a safe runtime search path for target dgl because there is a cycle in the constraint graph: dir 0 is [/usr/local/cuda/lib64] dir 1 must precede it due to runtime library [libcurand.so.10] dir 1 is [/opt/conda/lib] dir 0 must precede it due to runtime library [libcudart.so.11.0] Some of these libraries may not be found correctly. Call Stack (most recent call first): CMakeLists.txt:189 (cuda_add_library) CMake Warning at CMakeLists.txt:342 (add_executable): Cannot generate a safe runtime search path for target runUnitTests because files in some directories may conflict with libraries in implicit directories: runtime library [libgomp.so.1] in /usr/lib/gcc/x86_64-linux-gnu/7 may be hidden by files in: /opt/conda/lib Some of these libraries may not be found correctly. CMake Warning at CMakeLists.txt:342 (add_executable): Cannot generate a safe runtime search path for target runUnitTests because there is a cycle in the constraint graph: dir 0 is [/root/jenkins/workspace/dgl_PR-4483@7/build] dir 1 is [/usr/local/cuda/lib64] dir 2 must precede it due to runtime library [libcurand.so.10] dir 2 is [/opt/conda/lib] dir 1 must precede it due to runtime library [libcudart.so.11.0] Some of these libraries may not be found correctly. CMake Warning at CMakeLists.txt:350 (add_executable): Cannot generate a safe runtime search path for target rpc_client because files in some directories may conflict with libraries in implicit directories: runtime library [libgomp.so.1] in /usr/lib/gcc/x86_64-linux-gnu/7 may be hidden by files in: /opt/conda/lib Some of these libraries may not be found correctly. CMake Warning at CMakeLists.txt:350 (add_executable): Cannot generate a safe runtime search path for target rpc_client because there is a cycle in the constraint graph: dir 0 is [/root/jenkins/workspace/dgl_PR-4483@7/build] dir 1 is [/usr/local/cuda/lib64] dir 2 must precede it due to runtime library [libcurand.so.10] dir 2 is [/opt/conda/lib] dir 1 must precede it due to runtime library [libcudart.so.11.0] Some of these libraries may not be found correctly. CMake Warning at CMakeLists.txt:353 (add_executable): Cannot generate a safe runtime search path for target rpc_server because files in some directories may conflict with libraries in implicit directories: runtime library [libgomp.so.1] in /usr/lib/gcc/x86_64-linux-gnu/7 may be hidden by files in: /opt/conda/lib Some of these libraries may not be found correctly. CMake Warning at CMakeLists.txt:353 (add_executable): Cannot generate a safe runtime search path for target rpc_server because there is a cycle in the constraint graph: dir 0 is [/root/jenkins/workspace/dgl_PR-4483@7/build] dir 1 is [/usr/local/cuda/lib64] dir 2 must precede it due to runtime library [libcurand.so.10] dir 2 is [/opt/conda/lib] dir 1 must precede it due to runtime library [libcudart.so.11.0] Some of these libraries may not be found correctly. -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4483@7/build [ 0%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/fs-poll.c.o [ 0%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/random.c.o [ 0%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/threadpool.c.o [ 1%] Creating directories for 'nccl_external' [ 1%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/timer.c.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/data.cc.o [ 2%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest.dir/src/gtest-all.cc.o [ 3%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io.cc.o [ 3%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/line_split.cc.o [ 3%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/config.cc.o [ 3%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/recordio_split.cc.o [ 3%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/recordio.cc.o [ 4%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/indexed_recordio_split.cc.o [ 4%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/input_split_base.cc.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/idna.c.o [ 4%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/filesys.cc.o [ 4%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/local_filesys.cc.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/strscpy.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/inet.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-common.c.o [ 7%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/b64.c.o [ 7%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/csr.c.o [ 7%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/blas.c.o [ 8%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/rw.c.o [ 8%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/itemsets.c.o [ 8%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/error.c.o [ 8%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/seq.c.o [ 8%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/getopt.c.o [ 8%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/fkvkselect.c.o [ 9%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/evaluate.c.o [ 9%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/memory.c.o [ 9%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/fs.c.o [ 9%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/string.c.o [ 10%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/bucketsort.c.o [ 10%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/graph.c.o [ 10%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/sort.c.o [ 10%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/io.c.o [ 12%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-data-getter-setters.c.o [ 12%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/gk_util.c.o [ 13%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/contig.c.o [ 13%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/version.c.o [ 13%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/poll.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/gkregex.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/timers.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/tokenizer.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/htable.c.o [ 15%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/mcore.c.o [ 15%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tcp.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/frename.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/balance.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/debug.c.o [ 16%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/fs.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/checkgraph.c.o [ 16%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/async.c.o [ 16%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/core.c.o [ 16%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/pqueue.c.o [ 18%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/coarsen.c.o [ 18%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop.c.o [ 19%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/random.c.o [ 19%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/compress.c.o [ 20%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/dl.c.o [ 20%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getnameinfo.c.o [ 20%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/stream.c.o [ 20%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/signal.c.o [ 20%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getaddrinfo.c.o [ 21%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/thread.c.o [ 21%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/pipe.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/auxapi.c.o [ 21%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop-watcher.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/fortran.c.o [ 21%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/process.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/gklib.c.o [ 21%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/fm.c.o [ 21%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/proctitle.c.o [ 21%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/procfs-exepath.c.o [ 21%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-core.c.o [ 22%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-inotify.c.o [ 22%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tty.c.o [ 22%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/udp.c.o [ 22%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-getrandom.c.o [ 24%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-sysctl-linux.c.o [ 25%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-devurandom.c.o [ 25%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-syscalls.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/kmetis.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/initpart.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/graph.c.o [ 25%] No download step for 'nccl_external' [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mcutil.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mesh.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/minconn.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/options.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/ometis.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/srefine.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mincover.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/pmetis.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/parmetis.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/kwayrefine.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mmd.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/refine.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/separator.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/sfm.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/meshpart.c.o [ 30%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/timing.c.o [ 30%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/stat.c.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/kwayfm.c.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/wspace.c.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/util.c.o [ 31%] No update step for 'nccl_external' [ 31%] No patch step for 'nccl_external' [ 31%] No configure step for 'nccl_external' [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install [ 31%] Performing build step for 'nccl_external' Generating nccl.h.in > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/include/nccl.h Grabbing include/nccl_net.h > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/include/nccl_net.h Generating nccl.pc.in > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/lib/pkgconfig/nccl.pc Compiling init.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/init.o Compiling channel.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/channel.o Compiling bootstrap.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/bootstrap.o Compiling transport.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/transport.o Compiling enqueue.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/enqueue.o Compiling group.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/group.o Compiling debug.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/debug.o Compiling proxy.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/proxy.o Compiling misc/nvmlwrap.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/misc/nvmlwrap.o Compiling misc/ibvwrap.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/misc/ibvwrap.o Compiling misc/gdrwrap.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/misc/gdrwrap.o Compiling misc/utils.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/misc/utils.o Compiling misc/argcheck.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/misc/argcheck.o Compiling transport/p2p.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/transport/p2p.o Compiling transport/shm.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/transport/shm.o Compiling transport/net.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/transport/net.o Compiling transport/net_socket.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/transport/net_socket.o Compiling transport/net_ib.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/transport/net_ib.o Compiling transport/coll_net.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/transport/coll_net.o Compiling collectives/sendrecv.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/sendrecv.o Compiling collectives/all_reduce.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/all_reduce.o running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-cpython-37 creating build/lib.linux-x86_64-cpython-37/dgl copying dgl/partition.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/core.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/base.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/global_config.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/network.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/logging.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/udf.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/init.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/view.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/generators.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/convert.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/container.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/merge.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/readout.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/batch.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/frame.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/_sparse_ops.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/random.py -> build/lib.linux-x86_64-cpython-37/dgl creating build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/unary_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/sp_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/unary_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/diag_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/reduction.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/matmul.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse creating build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry creating build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/function creating build/lib.linux-x86_64-cpython-37/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn creating build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/nodewise.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/fused.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/edgewise.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops creating build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-cpython-37/dgl/utils creating build/lib.linux-x86_64-cpython-37/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-cpython-37/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/multiprocessing creating build/lib.linux-x86_64-cpython-37/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim creating build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/labor_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading creating build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-cpython-37/dgl/backend creating build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops creating build/lib.linux-x86_64-cpython-37/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-cpython-37/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/cuda creating build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-cpython-37/dgl/storages creating build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/labor.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling creating build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-cpython-37/dgl/data creating build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed creating build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms creating build/lib.linux-x86_64-cpython-37/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn creating build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi creating build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/unary_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/diag_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/reduction.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/matmul.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/unary_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/sparse_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/graph_transformer.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/network_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/functional creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cugraph_relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition creating build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-cpython-37 creating build/temp.linux-x86_64-cpython-37/dgl creating build/temp.linux-x86_64-cpython-37/dgl/_ffi creating build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ Compiling collectives/all_gather.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/all_gather.o Compiling collectives/broadcast.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/broadcast.o Compiling collectives/reduce.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/reduce.o Compiling collectives/reduce_scatter.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/reduce_scatter.o Compiling graph/topo.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/graph/topo.o Compiling graph/paths.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/graph/paths.o Compiling graph/search.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/graph/search.o Compiling graph/connect.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/graph/connect.o Compiling graph/rings.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/graph/rings.o Compiling graph/trees.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/graph/trees.o Compiling graph/tuning.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/graph/tuning.o Compiling graph/xml.cc > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/graph/xml.o Generating rules > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/Makefile.rules [ 31%] Linking C static library libtensorpipe_uv.a [ 31%] Built target tensorpipe_uv [ 31%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/allocator.cc.o [ 31%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/fd.cc.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/error.cc.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/helpers.cc.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/address.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/socket.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/system.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/error.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context_impl.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/error.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe_impl.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/channel_impl.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener_impl.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/channel_impl.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/factory.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/factory.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/context_impl.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/channel_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/context_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/factory.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/context_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/channel_impl.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/listener_impl.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/context_impl.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/factory.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/utility.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/loop.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/sockaddr.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/shm_segment.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/error.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/factory.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/context_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/connection_impl.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/connection_impl.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/listener_impl.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/error.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/reactor.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/factory.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/epoll_loop.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/context_impl.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/sockaddr.cc.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/ibv.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/error.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/listener_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/reactor.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). In file included from include/core.h:57:0, from include/transport.h:13, from include/comm.h:10, from include/enqueue.h:10, from enqueue.cc:7: enqueue.cc: In function 'ncclResult_t ncclLaunchCooperativeKernelMultiDevice(cudaLaunchParams*, int*, int, int)': enqueue.cc:135:97: warning: 'cudaError_t cudaLaunchCooperativeKernelMultiDevice(cudaLaunchParams*, unsigned int, unsigned int)' is deprecated [-Wdeprecated-declarations] cudaCooperativeLaunchMultiDeviceNoPreSync|cudaCooperativeLaunchMultiDeviceNoPostSync)); ^ include/checks.h:14:23: note: in definition of macro 'CUDACHECK' cudaError_t err = cmd; \ ^~~ In file included from /usr/local/cuda/include/channel_descriptor.h:61:0, from /usr/local/cuda/include/cuda_runtime.h:95, from /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/include/nccl.h:10, from include/devcomm.h:10, from include/transport.h:10, from include/comm.h:10, from include/enqueue.h:10, from enqueue.cc:7: /usr/local/cuda/include/cuda_runtime_api.h:4198:57: note: declared here extern __CUDA_DEPRECATED __host__ cudaError_t CUDARTAPI cudaLaunchCooperativeKernelMultiDevice(struct cudaLaunchParams *launchParamsList, unsigned int numDevices, unsigned int flags __dv(0)); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [ 45%] Linking C static library libmetis.a [ 45%] Built target metis Compiling onerank_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/onerank_reduce.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sum_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sum_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sum_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sum_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sum_bf16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_prod_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_prod_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_prod_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_prod_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_prod_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_prod_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_min_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_min_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_min_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_min_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_max_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_max_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_max_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_max_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_max_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_max_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_max_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_max_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_max_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_premulsum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_premulsum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_premulsum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_premulsum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_premulsum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_premulsum_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_premulsum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). g++ -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/broadcast_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sum_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sum_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/unary_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/sp_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/unary_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/cugraph_relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/graph_transformer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/network_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-cpython-37/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional creating build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/nodewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/fused.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/edgewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/global_config.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/labor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-37/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-37/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/labor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-cpython-37/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/_sparse_ops.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/unary_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/unary_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/sparse_matrix.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/softmax.py -> build/bdist.linux-x86_64/egg/dgl/sparse byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_diag.py to unary_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sp_matrix.py to sp_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_sp.py to unary_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cugraph_relgraphconv.py to cugraph_relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/graph_transformer.py to graph_transformer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/network_emb.py to network_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/nodewise.py to nodewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/fused.py to fused.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/edgewise.py to edgewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/global_config.py to global_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/labor_sampler.py to labor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_prod_u8.o byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/labor.py to labor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_prod_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_prod_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_prod_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_prod_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_prod_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_prod_f64.o ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@18281e1ba020) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- --- LIBXSMM build log byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_sparse_ops.py to _sparse_ops.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/unary_op_diag.py to unary_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/unary_op_sp.py to unary_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/sparse_matrix.py to sparse_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/softmax.py to softmax.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.12.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/dgl/dgl_sparse copying ../build/dgl_sparse/libdgl_sparse_pytorch_1.12.0.so -> build/bdist.linux-x86_64/egg/dgl/dgl_sparse creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.10-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_prod_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_min_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_min_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_min_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_max_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_max_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_max_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_max_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_max_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_max_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_max_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_max_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_max_bf16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_premulsum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_premulsum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_premulsum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_premulsum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_premulsum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_premulsum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). /usr/bin/ar: creating lib/libxsmmnoblas.a Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_premulsum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_premulsum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_premulsum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sumpostdiv_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.10-py3.7-linux-x86_64.egg creating /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Extracting dgl-0.10-py3.7-linux-x86_64.egg to /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Adding dgl 0.10 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Processing dependencies for dgl==0.10 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o [ 45%] Linking CXX static library ../../../lib/libgtest.a Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.o [ 45%] Built target gtest Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 45%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock.dir/src/gmock-all.cc.o [ 45%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest_main.dir/src/gtest_main.cc.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_prod_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_min_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_min_i32.o [ 45%] Linking CXX static library ../../../lib/libgtest_main.a Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_min_i64.o [ 45%] Built target gtest_main nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_min_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_min_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_max_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_max_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_max_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_max_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_max_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_max_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_max_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_max_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_premulsum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 45%] Linking CXX static library ../../../lib/libgmock.a Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 45%] Built target gmock nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.o Downloading https://files.pythonhosted.org/packages/6e/c8/784968329c1c67c28cce91991ef9af8a8913aa5a3399a6a8954b1380572f/psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=54c0d3d8e0078b7666984e11b12b88af2db11d11249a8ac8920dd5ef68a66e08 Best match: psutil 5.9.4 Processing psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Adding psutil 5.9.4 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/psutil-5.9.4-py3.7-linux-x86_64.egg Searching for tqdm==4.64.1 Best match: tqdm 4.64.1 Adding tqdm 4.64.1 to easy-install.pth file Installing tqdm script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for scipy==1.7.3 Best match: scipy 1.7.3 Adding scipy 1.7.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for numpy==1.21.6 Best match: numpy 1.21.6 Adding numpy 1.21.6 to easy-install.pth file Installing f2py script to /opt/conda/envs/mxnet-ci/bin Installing f2py3 script to /opt/conda/envs/mxnet-ci/bin Installing f2py3.7 script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for certifi==2022.9.24 Best match: certifi 2022.9.24 Adding certifi 2022.9.24 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for urllib3==1.26.13 Best match: urllib3 1.26.13 Adding urllib3 1.26.13 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for idna==3.4 Best match: idna 3.4 Adding idna 3.4 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.1 Best match: charset-normalizer 2.1.1 Adding charset-normalizer 2.1.1 to easy-install.pth file Installing normalizer script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.10 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/command/build_py.py:202: SetuptoolsDeprecationWarning: Installing 'dgl._ffi._cython' as data is deprecated, please list it in `packages`. !! ############################ # Package would be ignored # ############################ Python recognizes 'dgl._ffi._cython' as an importable package, but it is not listed in the `packages` configuration of setuptools. 'dgl._ffi._cython' has been automatically added to the distribution only because it may contain data files, but this behavior is likely to change in future versions of setuptools (and therefore is considered deprecated). Please make sure that 'dgl._ffi._cython' is included as a package by using the `packages` configuration field or the proper discovery methods (for example by using `find_namespace_packages(...)`/`find_namespace:` instead of `find_packages(...)`/`find:`). You can read more about "package discovery" and "data files" on setuptools documentation page. !! check.warn(importable) /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.o [ 45%] Building CXX object third_party/googletest/googlemock/CMakeFiles/gmock_main.dir/src/gmock_main.cc.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.o [ 46%] Linking CXX static library libtensorpipe.a nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.o /usr/bin/ar: creating lib/libxsmmgen.a Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 46%] Built target tensorpipe nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling functions.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/functions.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sum_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 46%] Linking CXX static library ../../../lib/libgmock_main.a nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sum_u64.o [ 46%] Built target gmock_main Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sum_f32.o [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sum_bf16.o [ 48%] Linking CXX static library libdmlc.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 48%] Built target dmlc nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_prod_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_prod_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_prod_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_prod_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_prod_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_prod_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_prod_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_prod_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_min_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_min_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). /usr/bin/ar: creating lib/libxsmm.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_min_f64.o /usr/bin/ar: creating lib/libxsmmext.a nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_min_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_max_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_max_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_max_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_max_u32.o ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@18281e1ba020) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- BLAS dependency and fallback is removed! -------------------------------------------------------------------------------- nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 48%] Built target libxsmm nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_max_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_max_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_max_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_max_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_max_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_max_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). g++ -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_premulsum_bf16.o WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [1/1] Cythonizing dgl/_ffi/_cython/core.pyx Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-cpython-37 creating build/lib.linux-x86_64-cpython-37/dgl copying dgl/partition.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/core.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/base.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/global_config.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/network.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/logging.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/udf.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/init.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/view.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/generators.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/convert.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/container.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/merge.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/readout.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/batch.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/frame.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/_sparse_ops.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/random.py -> build/lib.linux-x86_64-cpython-37/dgl creating build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/unary_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/sp_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/unary_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/diag_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/reduction.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/matmul.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse creating build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry creating build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/function creating build/lib.linux-x86_64-cpython-37/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn creating build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/nodewise.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/fused.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/edgewise.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops creating build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-cpython-37/dgl/utils creating build/lib.linux-x86_64-cpython-37/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-cpython-37/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/multiprocessing creating build/lib.linux-x86_64-cpython-37/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim creating build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/labor_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading creating build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-cpython-37/dgl/backend creating build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops creating build/lib.linux-x86_64-cpython-37/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-cpython-37/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/cuda creating build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-cpython-37/dgl/storages creating build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/labor.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling creating build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-cpython-37/dgl/data creating build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed creating build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms creating build/lib.linux-x86_64-cpython-37/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn creating build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi creating build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/unary_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/diag_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/reduction.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/matmul.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). copying dgl/sparse/unary_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/sparse_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/graph_transformer.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/network_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/functional creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cugraph_relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition creating build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-cpython-37 creating build/temp.linux-x86_64-cpython-37/dgl creating build/temp.linux-x86_64-cpython-37/dgl/_ffi creating build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sum_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_prod_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_prod_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_prod_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_prod_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_prod_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_prod_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_prod_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_prod_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_min_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_min_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_min_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_min_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_max_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_max_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_max_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_max_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_max_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_max_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_max_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_max_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_max_bf16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.o g++ -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/unary_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/sp_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/unary_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/cugraph_relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/graph_transformer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/network_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-cpython-37/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional creating build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/nodewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/fused.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/edgewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/global_config.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/labor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-37/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-37/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/labor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-cpython-37/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/_sparse_ops.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/unary_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/unary_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/sparse_matrix.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/softmax.py -> build/bdist.linux-x86_64/egg/dgl/sparse byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_diag.py to unary_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sp_matrix.py to sp_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_sp.py to unary_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cugraph_relgraphconv.py to cugraph_relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/graph_transformer.py to graph_transformer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/network_emb.py to network_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/nodewise.py to nodewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/fused.py to fused.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/edgewise.py to edgewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/global_config.py to global_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/labor_sampler.py to labor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/labor.py to labor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_premulsum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_sparse_ops.py to _sparse_ops.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/unary_op_diag.py to unary_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/unary_op_sp.py to unary_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/sparse_matrix.py to sparse_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/softmax.py to softmax.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.12.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/dgl/dgl_sparse copying ../build/dgl_sparse/libdgl_sparse_pytorch_1.12.0.so -> build/bdist.linux-x86_64/egg/dgl/dgl_sparse creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.10-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.o removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.10-py3.7-linux-x86_64.egg creating /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Extracting dgl-0.10-py3.7-linux-x86_64.egg to /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sum_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sum_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sum_u64.o Adding dgl 0.10 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Processing dependencies for dgl==0.10 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sum_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sum_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_prod_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_prod_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_prod_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_prod_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_prod_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_prod_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_prod_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_prod_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_prod_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_prod_bf16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_min_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_min_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_min_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_min_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_min_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_min_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_min_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_min_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_min_f64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_min_bf16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_max_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_max_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_max_i32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_max_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_max_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_max_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_max_f16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_max_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_max_f64.o Downloading https://files.pythonhosted.org/packages/6e/c8/784968329c1c67c28cce91991ef9af8a8913aa5a3399a6a8954b1380572f/psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=54c0d3d8e0078b7666984e11b12b88af2db11d11249a8ac8920dd5ef68a66e08 Best match: psutil 5.9.4 Processing psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_max_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_premulsum_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Adding psutil 5.9.4 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/psutil-5.9.4-py3.7-linux-x86_64.egg Searching for tqdm==4.64.1 Best match: tqdm 4.64.1 Adding tqdm 4.64.1 to easy-install.pth file Installing tqdm script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for scipy==1.4.1 Best match: scipy 1.4.1 Adding scipy 1.4.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for numpy==1.18.5 Best match: numpy 1.18.5 Adding numpy 1.18.5 to easy-install.pth file Installing f2py script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3 script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3.7 script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for certifi==2022.9.24 Best match: certifi 2022.9.24 Adding certifi 2022.9.24 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for urllib3==1.26.13 Best match: urllib3 1.26.13 Adding urllib3 1.26.13 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for idna==3.4 Best match: idna 3.4 Adding idna 3.4 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.1 Best match: charset-normalizer 2.1.1 Adding charset-normalizer 2.1.1 to easy-install.pth file Installing normalizer script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.10 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/command/build_py.py:202: SetuptoolsDeprecationWarning: Installing 'dgl._ffi._cython' as data is deprecated, please list it in `packages`. !! ############################ # Package would be ignored # ############################ Python recognizes 'dgl._ffi._cython' as an importable package, but it is not listed in the `packages` configuration of setuptools. 'dgl._ffi._cython' has been automatically added to the distribution only because it may contain data files, but this behavior is likely to change in future versions of setuptools (and therefore is considered deprecated). Please make sure that 'dgl._ffi._cython' is included as a package by using the `packages` configuration field or the proper discovery methods (for example by using `find_namespace_packages(...)`/`find_namespace:` instead of `find_packages(...)`/`find:`). You can read more about "package discovery" and "data files" on setuptools documentation page. !! check.warn(importable) /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_premulsum_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_premulsum_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_premulsum_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_premulsum_i64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_premulsum_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_premulsum_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_premulsum_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_premulsum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_premulsum_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f16.o [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f32.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/all_gather_sumpostdiv_bf16.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Archiving objects > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/obj/collectives/device/colldevice.a Linking libnccl.so.2.11.4 > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/lib/libnccl.so.2.11.4 Archiving libnccl_static.a > /root/jenkins/workspace/dgl_PR-4483@6/build/nccl/lib/libnccl_static.a /root/jenkins/workspace/dgl_PR-4483@6/third_party/nccl/src [ 48%] No install step for 'nccl_external' [ 49%] Completed 'nccl_external' [ 49%] Built target nccl_external [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_index_select.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_scatter.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_op_impl.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_nonzero.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_cuda_filter.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_nccl_api.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_sort.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/uvm/dgl_generated_array_index_select_uvm.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_cumsum.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo2csr.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_utils.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_negative_sampling.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sort.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_gather_mm.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sum.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm_hetero.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_get_data.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo_sort.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr2coo.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling_prob.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_coo.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_to_block.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_coo.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_labor_sampling.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_disjoint_union.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_edge_coarsening_impl.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_frequency_hashmap.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_get_node_types_gpu.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_cuda_hashtable.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_segment_reduce.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/partition/cuda/dgl_generated_partition_op.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_compact_graph.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_csr.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_knn.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_mm.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_randomwalk_gpu.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_geometry_op_impl.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_csr.cu.o g++ -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4483@5 [Pipeline] sh + ls -lh /usr/lib/x86_64-linux-gnu/ total 661M -rw-r--r-- 1 root root 496 May 3 2022 Mcrt1.o -rw-r--r-- 1 root root 1.8K May 3 2022 Scrt1.o drwxr-xr-x 2 root root 4.0K Nov 30 02:04 audit drwxr-xr-x 2 root root 4.0K Dec 16 02:17 avahi drwxr-xr-x 2 root root 4.0K Nov 30 02:04 coreutils -rw-r--r-- 1 root root 1.9K May 3 2022 crt1.o -rw-r--r-- 1 root root 1.2K May 3 2022 crti.o -rw-r--r-- 1 root root 648 May 3 2022 crtn.o drwxr-xr-x 2 root root 4.0K Dec 16 02:17 dri drwxr-xr-x 2 root root 4.0K Dec 16 02:17 engines-1.1 drwxr-xr-x 2 root root 12K Nov 30 02:04 gconv -rw-r--r-- 1 root root 2.5K May 3 2022 gcrt1.o drwxr-xr-x 2 root root 4.0K Dec 16 02:17 gdcm-2.8 drwxr-xr-x 3 root root 4.0K Dec 16 02:17 gdk-pixbuf-2.0 drwxr-xr-x 3 root root 4.0K Dec 16 02:17 gio drwxr-xr-x 2 root root 4.0K Dec 16 02:17 girepository-1.0 drwxr-xr-x 3 root root 4.0K Dec 16 02:17 glib-2.0 drwxr-xr-x 2 root root 4.0K Dec 16 02:18 graphviz -rw-r--r-- 1 root root 2.3K May 3 2022 grcrt1.o drwxr-xr-x 3 root root 4.0K Dec 16 02:17 gtk-2.0 drwxr-xr-x 3 root root 4.0K Dec 16 02:17 gtk-3.0 drwxr-xr-x 2 root root 4.0K Dec 16 02:18 hwloc drwxr-xr-x 3 root root 4.0K Dec 16 02:17 icu drwxr-xr-x 3 root root 4.0K Dec 16 02:17 krb5 drwxr-xr-x 2 root root 4.0K Dec 16 02:17 ldscripts -rw-r--r-- 1 root root 2.0K May 3 2022 libBrokenLocale.a lrwxrwxrwx 1 root root 42 May 3 2022 libBrokenLocale.so -> /lib/x86_64-linux-gnu/libBrokenLocale.so.1 lrwxrwxrwx 1 root root 16 May 23 2016 libCharLS.so.1 -> libCharLS.so.1.0 -rw-r--r-- 1 root root 219K May 23 2016 libCharLS.so.1.0 lrwxrwxrwx 1 root root 14 May 10 2019 libGL.so.1 -> libGL.so.1.0.0 -rw-r--r-- 1 root root 555K May 10 2019 libGL.so.1.0.0 lrwxrwxrwx 1 root root 15 May 10 2019 libGLX.so.0 -> libGLX.so.0.0.0 -rw-r--r-- 1 root root 67K May 10 2019 libGLX.so.0.0.0 lrwxrwxrwx 1 root root 16 Jun 12 2020 libGLX_indirect.so.0 -> libGLX_mesa.so.0 lrwxrwxrwx 1 root root 20 Jun 12 2020 libGLX_mesa.so.0 -> libGLX_mesa.so.0.0.0 -rw-r--r-- 1 root root 477K Jun 12 2020 libGLX_mesa.so.0.0.0 lrwxrwxrwx 1 root root 22 May 10 2019 libGLdispatch.so.0 -> libGLdispatch.so.0.0.0 -rw-r--r-- 1 root root 599K May 10 2019 libGLdispatch.so.0.0.0 lrwxrwxrwx 1 root root 17 Apr 16 2016 libHalf.so -> libHalf.so.12.0.0 lrwxrwxrwx 1 root root 17 Apr 16 2016 libHalf.so.12 -> libHalf.so.12.0.0 -rw-r--r-- 1 root root 267K Apr 16 2016 libHalf.so.12.0.0 lrwxrwxrwx 1 root root 15 Nov 25 05:24 libICE.so.6 -> libICE.so.6.3.0 -rw-r--r-- 1 root root 96K Nov 25 05:24 libICE.so.6.3.0 lrwxrwxrwx 1 root root 20 Apr 16 2016 libIex-2_2.so.12 -> libIex-2_2.so.12.0.0 -rw-r--r-- 1 root root 119K Apr 16 2016 libIex-2_2.so.12.0.0 lrwxrwxrwx 1 root root 20 Apr 16 2016 libIex.so -> libIex-2_2.so.12.0.0 lrwxrwxrwx 1 root root 24 Apr 16 2016 libIexMath-2_2.so.12 -> libIexMath-2_2.so.12.0.0 -rw-r--r-- 1 root root 15K Apr 16 2016 libIexMath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 24 Apr 16 2016 libIexMath.so -> libIexMath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 23 Nov 16 2021 libIlmImf-2_2.so.22 -> libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 2.8M Nov 16 2021 libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 4.4M Nov 16 2021 libIlmImf.a lrwxrwxrwx 1 root root 23 Nov 16 2021 libIlmImf.so -> libIlmImf-2_2.so.22.0.0 lrwxrwxrwx 1 root root 27 Nov 16 2021 libIlmImfUtil-2_2.so.22 -> libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 140K Nov 16 2021 libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 319K Nov 16 2021 libIlmImfUtil.a lrwxrwxrwx 1 root root 27 Nov 16 2021 libIlmImfUtil.so -> libIlmImfUtil-2_2.so.22.0.0 lrwxrwxrwx 1 root root 26 Apr 16 2016 libIlmThread-2_2.so.12 -> libIlmThread-2_2.so.12.0.0 -rw-r--r-- 1 root root 27K Apr 16 2016 libIlmThread-2_2.so.12.0.0 lrwxrwxrwx 1 root root 26 Apr 16 2016 libIlmThread.so -> libIlmThread-2_2.so.12.0.0 lrwxrwxrwx 1 root root 22 Apr 16 2016 libImath-2_2.so.12 -> libImath-2_2.so.12.0.0 -rw-r--r-- 1 root root 71K Apr 16 2016 libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 22 Apr 16 2016 libImath.so -> libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 15 Jul 14 2020 libLLVM-10.so -> libLLVM-10.so.1 -rw-r--r-- 1 root root 71M Jul 14 2020 libLLVM-10.so.1 lrwxrwxrwx 1 root root 18 Apr 5 2017 libOpenCL.so.1 -> libOpenCL.so.1.0.0 -rw-r--r-- 1 root root 43K Apr 5 2017 libOpenCL.so.1.0.0 lrwxrwxrwx 1 root root 14 Jul 13 2014 libSM.so.6 -> libSM.so.6.0.1 -rw-r--r-- 1 root root 31K Jul 13 2014 libSM.so.6.0.1 lrwxrwxrwx 1 root root 19 May 19 2021 libX11-xcb.so.1 -> libX11-xcb.so.1.0.0 -rw-r--r-- 1 root root 5.7K May 19 2021 libX11-xcb.so.1.0.0 lrwxrwxrwx 1 root root 15 May 19 2021 libX11.so.6 -> libX11.so.6.3.0 -rw-r--r-- 1 root root 1.3M May 19 2021 libX11.so.6.3.0 lrwxrwxrwx 1 root root 15 Apr 21 2020 libXau.so.6 -> libXau.so.6.0.0 -rw-r--r-- 1 root root 15K Apr 21 2020 libXau.so.6.0.0 lrwxrwxrwx 1 root root 12 Aug 3 2015 libXaw.so.7 -> libXaw7.so.7 lrwxrwxrwx 1 root root 16 Aug 3 2015 libXaw7.so.7 -> libXaw7.so.7.0.0 -rw-r--r-- 1 root root 461K Aug 3 2015 libXaw7.so.7.0.0 lrwxrwxrwx 1 root root 22 Jan 20 2017 libXcomposite.so.1 -> libXcomposite.so.1.0.0 -rw-r--r-- 1 root root 11K Jan 20 2017 libXcomposite.so.1.0.0 lrwxrwxrwx 1 root root 19 Dec 19 2017 libXcursor.so.1 -> libXcursor.so.1.0.2 -rw-r--r-- 1 root root 39K Dec 19 2017 libXcursor.so.1.0.2 lrwxrwxrwx 1 root root 19 Aug 20 2017 libXdamage.so.1 -> libXdamage.so.1.1.0 -rw-r--r-- 1 root root 11K Aug 20 2017 libXdamage.so.1.1.0 lrwxrwxrwx 1 root root 17 Mar 2 2017 libXdmcp.so.6 -> libXdmcp.so.6.0.0 -rw-r--r-- 1 root root 23K Mar 2 2017 libXdmcp.so.6.0.0 lrwxrwxrwx 1 root root 16 Oct 25 2014 libXext.so.6 -> libXext.so.6.4.0 -rw-r--r-- 1 root root 72K Oct 25 2014 libXext.so.6.4.0 lrwxrwxrwx 1 root root 18 Dec 5 2016 libXfixes.so.3 -> libXfixes.so.3.1.0 -rw-r--r-- 1 root root 23K Dec 5 2016 libXfixes.so.3.1.0 lrwxrwxrwx 1 root root 15 Jul 13 2014 libXft.so.2 -> libXft.so.2.3.2 -rw-r--r-- 1 root root 84K Jul 13 2014 libXft.so.2.3.2 lrwxrwxrwx 1 root root 14 Jan 23 2017 libXi.so.6 -> libXi.so.6.1.0 -rw-r--r-- 1 root root 63K Jan 23 2017 libXi.so.6.1.0 lrwxrwxrwx 1 root root 20 Jun 30 2013 libXinerama.so.1 -> libXinerama.so.1.0.0 -rw-r--r-- 1 root root 11K Jun 30 2013 libXinerama.so.1.0.0 lrwxrwxrwx 1 root root 15 Dec 10 2015 libXmu.so.6 -> libXmu.so.6.2.0 -rw-r--r-- 1 root root 101K Dec 10 2015 libXmu.so.6.2.0 lrwxrwxrwx 1 root root 16 Dec 22 2016 libXpm.so.4 -> libXpm.so.4.11.0 -rw-r--r-- 1 root root 71K Dec 22 2016 libXpm.so.4.11.0 lrwxrwxrwx 1 root root 18 Dec 6 2016 libXrandr.so.2 -> libXrandr.so.2.2.0 -rw-r--r-- 1 root root 43K Dec 6 2016 libXrandr.so.2.2.0 lrwxrwxrwx 1 root root 19 Dec 5 2016 libXrender.so.1 -> libXrender.so.1.3.0 -rw-r--r-- 1 root root 39K Dec 5 2016 libXrender.so.1.3.0 lrwxrwxrwx 1 root root 15 May 9 2012 libXss.so.1 -> libXss.so.1.0.0 -rw-r--r-- 1 root root 15K May 9 2012 libXss.so.1.0.0 lrwxrwxrwx 1 root root 14 May 24 2016 libXt.so.6 -> libXt.so.6.0.0 -rw-r--r-- 1 root root 416K May 24 2016 libXt.so.6.0.0 lrwxrwxrwx 1 root root 19 May 6 2015 libXxf86vm.so.1 -> libXxf86vm.so.1.0.0 -rw-r--r-- 1 root root 23K May 6 2015 libXxf86vm.so.1.0.0 lrwxrwxrwx 1 root root 15 Jul 28 2017 libaec.so.0 -> libaec.so.0.0.3 -rw-r--r-- 1 root root 30K Jul 28 2017 libaec.so.0.0.3 -rw-r--r-- 1 root root 23K May 3 2022 libanl.a lrwxrwxrwx 1 root root 33 May 3 2022 libanl.so -> /lib/x86_64-linux-gnu/libanl.so.1 lrwxrwxrwx 1 root root 20 Jun 15 2021 libapt-inst.so.2.0 -> libapt-inst.so.2.0.0 -rw-r--r-- 1 root root 51K Jun 15 2021 libapt-inst.so.2.0.0 lrwxrwxrwx 1 root root 19 Jun 15 2021 libapt-pkg.so.5.0 -> libapt-pkg.so.5.0.2 -rw-r--r-- 1 root root 1.8M Jun 15 2021 libapt-pkg.so.5.0.2 lrwxrwxrwx 1 root root 23 Jun 15 2021 libapt-private.so.0.0 -> libapt-private.so.0.0.0 -rw-r--r-- 1 root root 415K Jun 15 2021 libapt-private.so.0.0.0 -rw-r--r-- 1 root root 35K Jan 6 2018 libargon2.so.0 lrwxrwxrwx 1 root root 18 Jan 24 2018 libarpack.so.2 -> libarpack.so.2.0.0 -rw-r--r-- 1 root root 295K Jan 24 2018 libarpack.so.2.0.0 lrwxrwxrwx 1 root root 16 Dec 4 2019 libasan.so.4 -> libasan.so.4.0.0 -rw-r--r-- 1 root root 1.4M Dec 4 2019 libasan.so.4.0.0 lrwxrwxrwx 1 root root 16 Dec 7 18:09 libasn1.so.8 -> libasn1.so.8.0.0 -rw-r--r-- 1 root root 647K Dec 7 18:09 libasn1.so.8.0.0 lrwxrwxrwx 1 root root 23 Mar 13 2018 libatk-1.0.so.0 -> libatk-1.0.so.0.22810.1 -rw-r--r-- 1 root root 150K Mar 13 2018 libatk-1.0.so.0.22810.1 lrwxrwxrwx 1 root root 26 Mar 13 2018 libatk-bridge-2.0.so.0 -> libatk-bridge-2.0.so.0.0.0 -rw-r--r-- 1 root root 194K Mar 13 2018 libatk-bridge-2.0.so.0.0.0 lrwxrwxrwx 1 root root 18 Mar 10 2020 libatomic.so.1 -> libatomic.so.1.2.0 -rw-r--r-- 1 root root 27K Mar 10 2020 libatomic.so.1.2.0 lrwxrwxrwx 1 root root 17 Mar 13 2018 libatspi.so.0 -> libatspi.so.0.0.1 -rw-r--r-- 1 root root 191K Mar 13 2018 libatspi.so.0.0.1 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-client.so.3 -> libavahi-client.so.3.2.9 -rw-r--r-- 1 root root 67K Jul 6 2021 libavahi-client.so.3.2.9 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-common.so.3 -> libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 47K Jul 6 2021 libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 19M May 18 2022 libavcodec.a lrwxrwxrwx 1 root root 24 May 18 2022 libavcodec.so -> libavcodec.so.57.107.100 lrwxrwxrwx 1 root root 24 May 18 2022 libavcodec.so.57 -> libavcodec.so.57.107.100 -rw-r--r-- 1 root root 14M May 18 2022 libavcodec.so.57.107.100 -rw-r--r-- 1 root root 4.7M May 18 2022 libavformat.a lrwxrwxrwx 1 root root 24 May 18 2022 libavformat.so -> libavformat.so.57.83.100 lrwxrwxrwx 1 root root 24 May 18 2022 libavformat.so.57 -> libavformat.so.57.83.100 -rw-r--r-- 1 root root 2.4M May 18 2022 libavformat.so.57.83.100 -rw-r--r-- 1 root root 214K May 18 2022 libavresample.a lrwxrwxrwx 1 root root 22 May 18 2022 libavresample.so -> libavresample.so.3.7.0 lrwxrwxrwx 1 root root 22 May 18 2022 libavresample.so.3 -> libavresample.so.3.7.0 -rw-r--r-- 1 root root 130K May 18 2022 libavresample.so.3.7.0 -rw-r--r-- 1 root root 755K May 18 2022 libavutil.a lrwxrwxrwx 1 root root 22 May 18 2022 libavutil.so -> libavutil.so.55.78.100 lrwxrwxrwx 1 root root 22 May 18 2022 libavutil.so.55 -> libavutil.so.55.78.100 -rw-r--r-- 1 root root 487K May 18 2022 libavutil.so.55.78.100 -rw-r--r-- 1 root root 1.3M Aug 30 13:03 libbfd-2.30-system.so lrwxrwxrwx 1 root root 44 Dec 16 02:18 libblas.a -> /etc/alternatives/libblas.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 45 Dec 16 02:18 libblas.so -> /etc/alternatives/libblas.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Dec 16 02:18 libblas.so.3 -> /etc/alternatives/libblas.so.3-x86_64-linux-gnu lrwxrwxrwx 1 root root 18 Apr 3 2018 libbluray.so.2 -> libbluray.so.2.0.2 -rw-r--r-- 1 root root 319K Apr 3 2018 libbluray.so.2.0.2 -rw-r--r-- 1 root root 5.3M May 3 2022 libc.a -rw-r--r-- 1 root root 298 May 3 2022 libc.so -rw-r--r-- 1 root root 20K May 3 2022 libc_nonshared.a lrwxrwxrwx 1 root root 29 Jan 22 2019 libcairo-gobject.so.2 -> libcairo-gobject.so.2.11510.0 -rw-r--r-- 1 root root 34K Jan 22 2019 libcairo-gobject.so.2.11510.0 lrwxrwxrwx 1 root root 21 Jan 22 2019 libcairo.so.2 -> libcairo.so.2.11510.0 -rw-r--r-- 1 root root 1.2M Jan 22 2019 libcairo.so.2.11510.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libcc1.so.0 -> libcc1.so.0.0.0 -rw-r--r-- 1 root root 116K Mar 10 2020 libcc1.so.0.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so -> libcdt.so.5.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so.5 -> libcdt.so.5.0.0 -rw-r--r-- 1 root root 27K Mar 24 2018 libcdt.so.5.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so -> libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so.6 -> libcgraph.so.6.0.0 -rw-r--r-- 1 root root 88K Mar 24 2018 libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 23 Feb 7 2018 libchromaprint.so.1 -> libchromaprint.so.1.4.3 -rw-r--r-- 1 root root 75K Feb 7 2018 libchromaprint.so.1.4.3 lrwxrwxrwx 1 root root 34 May 3 2022 libcidn.so -> /lib/x86_64-linux-gnu/libcidn.so.1 lrwxrwxrwx 1 root root 19 Dec 4 2019 libcilkrts.so.5 -> libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 117K Dec 4 2019 libcilkrts.so.5.0.0 lrwxrwxrwx 1 root root 18 Jul 23 2017 libcolord.so.2 -> libcolord.so.2.0.5 -rw-r--r-- 1 root root 126K Jul 23 2017 libcolord.so.2.0.5 lrwxrwxrwx 1 root root 25 Jul 23 2017 libcolordprivate.so.2 -> libcolordprivate.so.2.0.5 -rw-r--r-- 1 root root 188K Jul 23 2017 libcolordprivate.so.2.0.5 lrwxrwxrwx 1 root root 21 Dec 16 2017 libcroco-0.6.so.3 -> libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 235K Dec 16 2017 libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 61K May 3 2022 libcrypt.a lrwxrwxrwx 1 root root 35 May 3 2022 libcrypt.so -> /lib/x86_64-linux-gnu/libcrypt.so.1 -rw-r--r-- 1 root root 2.3M Jun 20 2022 libcrypto.so.1.0.0 -rw-r--r-- 1 root root 2.8M Jul 4 2022 libcrypto.so.1.1 lrwxrwxrwx 1 root root 19 Mar 13 2017 libcrystalhd.so.3 -> libcrystalhd.so.3.6 -rw-r--r-- 1 root root 109K Mar 13 2017 libcrystalhd.so.3.6 -rw-r--r-- 1 root root 558K May 27 2022 libcups.so.2 lrwxrwxrwx 1 root root 19 Oct 18 16:45 libcurl-gnutls.so.3 -> libcurl-gnutls.so.4 lrwxrwxrwx 1 root root 23 Oct 18 16:45 libcurl-gnutls.so.4 -> libcurl-gnutls.so.4.5.0 -rw-r--r-- 1 root root 515K Oct 18 16:45 libcurl-gnutls.so.4.5.0 lrwxrwxrwx 1 root root 16 Oct 18 16:45 libcurl.so.4 -> libcurl.so.4.5.0 -rw-r--r-- 1 root root 519K Oct 18 16:45 libcurl.so.4.5.0 lrwxrwxrwx 1 root root 16 Feb 20 2018 libdap.so.25 -> libdap.so.25.0.1 -rw-r--r-- 1 root root 1.6M Feb 20 2018 libdap.so.25.0.1 lrwxrwxrwx 1 root root 21 Feb 20 2018 libdapclient.so.6 -> libdapclient.so.6.1.7 -rw-r--r-- 1 root root 259K Feb 20 2018 libdapclient.so.6.1.7 lrwxrwxrwx 1 root root 18 Feb 14 2018 libdatrie.so.1 -> libdatrie.so.1.3.3 -rw-r--r-- 1 root root 26K Feb 14 2018 libdatrie.so.1.3.3 -rw-r--r-- 1 root root 1.7M Jun 3 2019 libdb-5.3.so -rw-r--r-- 1 root root 365K Jan 15 2017 libdc1394.a lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so -> libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so.22 -> libdc1394.so.22.2.1 -rw-r--r-- 1 root root 216K Jan 15 2017 libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 17 Mar 29 2018 libdconf.so.1 -> libdconf.so.1.0.0 -rw-r--r-- 1 root root 56K Mar 29 2018 libdconf.so.1.0.0 lrwxrwxrwx 1 root root 25 Jun 8 2016 libdebconfclient.so.0 -> libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 8 2016 libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 12K May 3 2022 libdl.a lrwxrwxrwx 1 root root 32 May 3 2022 libdl.so -> /lib/x86_64-linux-gnu/libdl.so.2 lrwxrwxrwx 1 root root 15 May 11 2020 libdrm.so.2 -> libdrm.so.2.4.0 -rw-r--r-- 1 root root 67K May 11 2020 libdrm.so.2.4.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_amdgpu.so.1 -> libdrm_amdgpu.so.1.0.0 -rw-r--r-- 1 root root 39K May 11 2020 libdrm_amdgpu.so.1.0.0 lrwxrwxrwx 1 root root 21 May 11 2020 libdrm_intel.so.1 -> libdrm_intel.so.1.0.0 -rw-r--r-- 1 root root 140K May 11 2020 libdrm_intel.so.1.0.0 lrwxrwxrwx 1 root root 23 May 11 2020 libdrm_nouveau.so.2 -> libdrm_nouveau.so.2.0.0 -rw-r--r-- 1 root root 31K May 11 2020 libdrm_nouveau.so.2.0.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_radeon.so.1 -> libdrm_radeon.so.1.0.1 -rw-r--r-- 1 root root 47K May 11 2020 libdrm_radeon.so.1.0.1 lrwxrwxrwx 1 root root 17 Jun 19 2017 libedit.so.2 -> libedit.so.2.0.56 -rw-r--r-- 1 root root 204K Jun 19 2017 libedit.so.2.0.56 -rw-r--r-- 1 root root 103K Jun 7 2019 libelf-0.170.so lrwxrwxrwx 1 root root 15 Jun 7 2019 libelf.so.1 -> libelf-0.170.so lrwxrwxrwx 1 root root 17 Nov 13 2017 libepoxy.so.0 -> libepoxy.so.0.0.0 -rw-r--r-- 1 root root 1.1M Nov 13 2017 libepoxy.so.0.0.0 lrwxrwxrwx 1 root root 19 Apr 27 2016 libepsilon.so.1 -> libepsilon.so.1.0.0 -rw-r--r-- 1 root root 97K Apr 27 2016 libepsilon.so.1.0.0 -rw-r--r-- 1 root root 400K Nov 6 2020 libexif.a lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so -> libexif.so.12.3.3 lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so.12 -> libexif.so.12.3.3 -rw-r--r-- 1 root root 274K Nov 6 2020 libexif.so.12.3.3 lrwxrwxrwx 1 root root 18 Nov 18 10:57 libexpatw.so.1 -> libexpatw.so.1.6.7 -rw-r--r-- 1 root root 203K Nov 18 10:57 libexpatw.so.1.6.7 lrwxrwxrwx 1 root root 18 Jan 4 2018 libfabric.so.1 -> libfabric.so.1.9.3 -rw-r--r-- 1 root root 676K Jan 4 2018 libfabric.so.1.9.3 lrwxrwxrwx 1 root root 15 Jan 7 2018 libffi.so.6 -> libffi.so.6.0.4 -rw-r--r-- 1 root root 31K Jan 7 2018 libffi.so.6.0.4 lrwxrwxrwx 1 root root 23 Apr 5 2018 libfontconfig.so.1 -> libfontconfig.so.1.10.1 -rw-r--r-- 1 root root 276K Apr 5 2018 libfontconfig.so.1.10.1 lrwxrwxrwx 1 root root 14 May 23 2018 libform.so.5 -> libform.so.5.9 -rw-r--r-- 1 root root 60K May 23 2018 libform.so.5.9 lrwxrwxrwx 1 root root 15 May 23 2018 libformw.so.5 -> libformw.so.5.9 -rw-r--r-- 1 root root 68K May 23 2018 libformw.so.5.9 lrwxrwxrwx 1 root root 18 Jul 6 2022 libfreebl3.chk -> nss/libfreebl3.chk lrwxrwxrwx 1 root root 17 Jul 6 2022 libfreebl3.so -> nss/libfreebl3.so lrwxrwxrwx 1 root root 22 Jul 6 2022 libfreeblpriv3.chk -> nss/libfreeblpriv3.chk lrwxrwxrwx 1 root root 21 Jul 6 2022 libfreeblpriv3.so -> nss/libfreeblpriv3.so lrwxrwxrwx 1 root root 21 Jul 19 16:39 libfreetype.so.6 -> libfreetype.so.6.15.0 -rw-r--r-- 1 root root 719K Jul 19 16:39 libfreetype.so.6.15.0 lrwxrwxrwx 1 root root 18 Feb 22 2018 libfreexl.so.1 -> libfreexl.so.1.1.0 -rw-r--r-- 1 root root 34K Feb 22 2018 libfreexl.so.1.1.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyba.so.0 -> libfyba.so.0.0.0 -rw-r--r-- 1 root root 215K Aug 19 2016 libfyba.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfygm.so.0 -> libfygm.so.0.0.0 -rw-r--r-- 1 root root 27K Aug 19 2016 libfygm.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyut.so.0 -> libfyut.so.0.0.0 -rw-r--r-- 1 root root 35K Aug 19 2016 libfyut.so.0.0.0 -rw-r--r-- 1 root root 1.2K May 3 2022 libg.a lrwxrwxrwx 1 root root 14 Aug 30 2021 libgd.so.3 -> libgd.so.3.0.5 -rw-r--r-- 1 root root 397K Aug 30 2021 libgd.so.3.0.5 lrwxrwxrwx 1 root root 16 Mar 14 2018 libgdbm.so.5 -> libgdbm.so.5.0.0 -rw-r--r-- 1 root root 51K Mar 14 2018 libgdbm.so.5.0.0 lrwxrwxrwx 1 root root 23 Mar 14 2018 libgdbm_compat.so.4 -> libgdbm_compat.so.4.0.0 -rw-r--r-- 1 root root 14K Mar 14 2018 libgdbm_compat.so.4.0.0 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmCommon.so -> libgdcmCommon.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmCommon.so.2.8 -> libgdcmCommon.so.2.8.4 -rw-r--r-- 1 root root 155K Feb 5 2018 libgdcmCommon.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDICT.so -> libgdcmDICT.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDICT.so.2.8 -> libgdcmDICT.so.2.8.4 -rw-r--r-- 1 root root 2.4M Feb 5 2018 libgdcmDICT.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDSED.so -> libgdcmDSED.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDSED.so.2.8 -> libgdcmDSED.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmDSED.so.2.8.4 lrwxrwxrwx 1 root root 17 Feb 5 2018 libgdcmIOD.so -> libgdcmIOD.so.2.8 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmIOD.so.2.8 -> libgdcmIOD.so.2.8.4 -rw-r--r-- 1 root root 87K Feb 5 2018 libgdcmIOD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMEXD.so -> libgdcmMEXD.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMEXD.so.2.8 -> libgdcmMEXD.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmMEXD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMSFF.so -> libgdcmMSFF.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMSFF.so.2.8 -> libgdcmMSFF.so.2.8.4 -rw-r--r-- 1 root root 2.6M Feb 5 2018 libgdcmMSFF.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg12.so -> libgdcmjpeg12.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg12.so.2.8 -> libgdcmjpeg12.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg12.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg16.so -> libgdcmjpeg16.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg16.so.2.8 -> libgdcmjpeg16.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg16.so.2.8.4 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmjpeg8.so -> libgdcmjpeg8.so.2.8 lrwxrwxrwx 1 root root 21 Feb 5 2018 libgdcmjpeg8.so.2.8 -> libgdcmjpeg8.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg8.so.2.8.4 lrwxrwxrwx 1 root root 21 Jun 5 2019 libgdk-3.so.0 -> libgdk-3.so.0.2200.30 -rw-r--r-- 1 root root 981K Jun 5 2019 libgdk-3.so.0.2200.30 lrwxrwxrwx 1 root root 27 Mar 24 2018 libgdk-x11-2.0.so.0 -> libgdk-x11-2.0.so.0.2400.32 -rw-r--r-- 1 root root 724K Mar 24 2018 libgdk-x11-2.0.so.0.2400.32 lrwxrwxrwx 1 root root 29 Mar 16 2018 libgdk_pixbuf-2.0.so.0 -> libgdk_pixbuf-2.0.so.0.3611.0 -rw-r--r-- 1 root root 144K Mar 16 2018 libgdk_pixbuf-2.0.so.0.3611.0 lrwxrwxrwx 1 root root 34 Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0 -> libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 67K Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 1.6M Mar 1 2018 libgeos-3.6.2.so lrwxrwxrwx 1 root root 19 Mar 1 2018 libgeos_c.so.1 -> libgeos_c.so.1.10.2 -rw-r--r-- 1 root root 187K Mar 1 2018 libgeos_c.so.1.10.2 lrwxrwxrwx 1 root root 19 Nov 17 2016 libgeotiff.so.2 -> libgeotiff.so.2.1.2 -rw-r--r-- 1 root root 215K Nov 17 2016 libgeotiff.so.2.1.2 lrwxrwxrwx 1 root root 20 Dec 4 2019 libgfortran.so.4 -> libgfortran.so.4.0.0 -rw-r--r-- 1 root root 1.9M Dec 4 2019 libgfortran.so.4.0.0 lrwxrwxrwx 1 root root 15 Aug 19 2019 libgif.so.7 -> libgif.so.7.0.0 -rw-r--r-- 1 root root 34K Aug 19 2019 libgif.so.7.0.0 -rw-r--r-- 1 root root 4.0M Nov 29 2021 libgio-2.0.a lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so -> libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so.0 -> libgio-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.7M Nov 29 2021 libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 28 Apr 15 2018 libgirepository-1.0.so.1 -> libgirepository-1.0.so.1.0.0 -rw-r--r-- 1 root root 208K Apr 15 2018 libgirepository-1.0.so.1.0.0 lrwxrwxrwx 1 root root 17 Sep 27 2017 libgl2ps.so.1.4 -> libgl2ps.so.1.4.0 -rw-r--r-- 1 root root 79K Sep 27 2017 libgl2ps.so.1.4.0 lrwxrwxrwx 1 root root 17 Jun 12 2020 libglapi.so.0 -> libglapi.so.0.0.0 -rw-r--r-- 1 root root 215K Jun 12 2020 libglapi.so.0.0.0 -rw-r--r-- 1 root root 2.0M Nov 29 2021 libglib-2.0.a lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so -> libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so.0 -> libglib-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.1M Nov 29 2021 libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 15 Dec 7 2017 libgme.so.0 -> libgme.so.0.6.2 -rw-r--r-- 1 root root 303K Dec 7 2017 libgme.so.0.6.2 -rw-r--r-- 1 root root 16K Nov 29 2021 libgmodule-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so -> libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so.0 -> libgmodule-2.0.so.0.5600.4 -rw-r--r-- 1 root root 14K Nov 29 2021 libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Oct 11 17:56 libgmp.so.10 -> libgmp.so.10.3.2 -rw-r--r-- 1 root root 515K Oct 11 17:56 libgmp.so.10.3.2 lrwxrwxrwx 1 root root 21 Aug 2 12:58 libgnutls.so.30 -> libgnutls.so.30.14.10 -rw-r--r-- 1 root root 1.4M Aug 2 12:58 libgnutls.so.30.14.10 -rw-r--r-- 1 root root 667K Nov 29 2021 libgobject-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so -> libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so.0 -> libgobject-2.0.so.0.5600.4 -rw-r--r-- 1 root root 335K Nov 29 2021 libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Mar 10 2020 libgomp.so.1 -> libgomp.so.1.0.0 -rw-r--r-- 1 root root 188K Mar 10 2020 libgomp.so.1.0.0 drwxr-xr-x 3 root root 4.0K Dec 16 02:17 libgphoto2 drwxr-xr-x 3 root root 4.0K Dec 16 02:17 libgphoto2-dev -rw-r--r-- 1 root root 262K Dec 23 2017 libgphoto2.a lrwxrwxrwx 1 root root 19 Dec 23 2017 libgphoto2.so -> libgphoto2.so.6.0.0 lrwxrwxrwx 1 root root 19 Dec 23 2017 libgphoto2.so.6 -> libgphoto2.so.6.0.0 -rw-r--r-- 1 root root 143K Dec 23 2017 libgphoto2.so.6.0.0 drwxr-xr-x 3 root root 4.0K Dec 16 02:17 libgphoto2_port -rw-r--r-- 1 root root 79K Dec 23 2017 libgphoto2_port.a lrwxrwxrwx 1 root root 25 Dec 23 2017 libgphoto2_port.so -> libgphoto2_port.so.12.0.0 lrwxrwxrwx 1 root root 25 Dec 23 2017 libgphoto2_port.so.12 -> libgphoto2_port.so.12.0.0 -rw-r--r-- 1 root root 43K Dec 23 2017 libgphoto2_port.so.12.0.0 -rw-r--r-- 1 root root 22K Jan 30 2018 libgpm.so.2 lrwxrwxrwx 1 root root 17 Mar 11 2018 libgraphite2.so -> libgraphite2.so.3 lrwxrwxrwx 1 root root 17 Mar 11 2018 libgraphite2.so.2.0.0 -> libgraphite2.so.3 lrwxrwxrwx 1 root root 21 Mar 11 2018 libgraphite2.so.3 -> libgraphite2.so.3.0.1 -rw-r--r-- 1 root root 179K Mar 11 2018 libgraphite2.so.3.0.1 lrwxrwxrwx 1 root root 16 Apr 3 2018 libgsm.so.1 -> libgsm.so.1.0.12 -rw-r--r-- 1 root root 51K Apr 3 2018 libgsm.so.1.0.12 lrwxrwxrwx 1 root root 18 Dec 7 18:09 libgssapi.so.3 -> libgssapi.so.3.0.0 -rw-r--r-- 1 root root 260K Dec 7 18:09 libgssapi.so.3.0.0 lrwxrwxrwx 1 root root 21 Nov 11 2020 libgssapi_krb5.so.2 -> libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 299K Nov 11 2020 libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 2.7K Nov 29 2021 libgthread-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgthread-2.0.so -> libgthread-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgthread-2.0.so.0 -> libgthread-2.0.so.0.5600.4 -rw-r--r-- 1 root root 5.9K Nov 29 2021 libgthread-2.0.so.0.5600.4 drwxr-xr-x 2 root root 4.0K Dec 16 02:17 libgtk-3-0 lrwxrwxrwx 1 root root 21 Jun 5 2019 libgtk-3.so.0 -> libgtk-3.so.0.2200.30 -rw-r--r-- 1 root root 7.1M Jun 5 2019 libgtk-3.so.0.2200.30 lrwxrwxrwx 1 root root 27 Mar 24 2018 libgtk-x11-2.0.so.0 -> libgtk-x11-2.0.so.0.2400.32 -rw-r--r-- 1 root root 4.3M Mar 24 2018 libgtk-x11-2.0.so.0.2400.32 drwxr-xr-x 2 root root 4.0K Dec 16 02:17 libgtk2.0-0 lrwxrwxrwx 1 root root 19 Feb 3 2017 libgts-0.7.so.5 -> libgts-0.7.so.5.0.1 -rw-r--r-- 1 root root 371K Feb 3 2017 libgts-0.7.so.5.0.1 lrwxrwxrwx 1 root root 15 Mar 24 2018 libgvc.so -> libgvc.so.6.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libgvc.so.6 -> libgvc.so.6.0.0 -rw-r--r-- 1 root root 613K Mar 24 2018 libgvc.so.6.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libgvpr.so -> libgvpr.so.2.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libgvpr.so.2 -> libgvpr.so.2.0.0 -rw-r--r-- 1 root root 480K Mar 24 2018 libgvpr.so.2.0.0 -rw-r--r-- 1 root root 67K Apr 13 2018 libharfbuzz-gobject.a lrwxrwxrwx 1 root root 32 Apr 13 2018 libharfbuzz-gobject.so -> libharfbuzz-gobject.so.0.10702.0 lrwxrwxrwx 1 root root 32 Apr 13 2018 libharfbuzz-gobject.so.0 -> libharfbuzz-gobject.so.0.10702.0 -rw-r--r-- 1 root root 55K Apr 13 2018 libharfbuzz-gobject.so.0.10702.0 -rw-r--r-- 1 root root 7.0K Apr 13 2018 libharfbuzz-icu.a lrwxrwxrwx 1 root root 28 Apr 13 2018 libharfbuzz-icu.so -> libharfbuzz-icu.so.0.10702.0 lrwxrwxrwx 1 root root 28 Apr 13 2018 libharfbuzz-icu.so.0 -> libharfbuzz-icu.so.0.10702.0 -rw-r--r-- 1 root root 11K Apr 13 2018 libharfbuzz-icu.so.0.10702.0 -rw-r--r-- 1 root root 965K Apr 13 2018 libharfbuzz.a lrwxrwxrwx 1 root root 24 Apr 13 2018 libharfbuzz.so -> libharfbuzz.so.0.10702.0 lrwxrwxrwx 1 root root 24 Apr 13 2018 libharfbuzz.so.0 -> libharfbuzz.so.0.10702.0 -rw-r--r-- 1 root root 631K Apr 13 2018 libharfbuzz.so.0.10702.0 lrwxrwxrwx 1 root root 19 Dec 7 18:09 libhcrypto.so.4 -> libhcrypto.so.4.1.0 -rw-r--r-- 1 root root 213K Dec 7 18:09 libhcrypto.so.4.1.0 lrwxrwxrwx 1 root root 26 Aug 13 2017 libhdf5_openmpi.so.100 -> libhdf5_openmpi.so.100.0.1 -rw-r--r-- 1 root root 3.5M Aug 13 2017 libhdf5_openmpi.so.100.0.1 lrwxrwxrwx 1 root root 34 Aug 13 2017 libhdf5_openmpi_fortran.so.100 -> libhdf5_openmpi_fortran.so.100.0.1 -rw-r--r-- 1 root root 249K Aug 13 2017 libhdf5_openmpi_fortran.so.100.0.1 lrwxrwxrwx 1 root root 29 Aug 13 2017 libhdf5_openmpi_hl.so.100 -> libhdf5_openmpi_hl.so.100.0.0 -rw-r--r-- 1 root root 136K Aug 13 2017 libhdf5_openmpi_hl.so.100.0.0 lrwxrwxrwx 1 root root 36 Aug 13 2017 libhdf5_openmpihl_fortran.so.100 -> libhdf5_openmpihl_fortran.so.100.0.0 -rw-r--r-- 1 root root 119K Aug 13 2017 libhdf5_openmpihl_fortran.so.100.0.0 lrwxrwxrwx 1 root root 25 Aug 13 2017 libhdf5_serial.so.100 -> libhdf5_serial.so.100.0.1 -rw-r--r-- 1 root root 3.4M Aug 13 2017 libhdf5_serial.so.100.0.1 lrwxrwxrwx 1 root root 33 Aug 13 2017 libhdf5_serial_fortran.so.100 -> libhdf5_serial_fortran.so.100.0.1 -rw-r--r-- 1 root root 245K Aug 13 2017 libhdf5_serial_fortran.so.100.0.1 lrwxrwxrwx 1 root root 28 Aug 13 2017 libhdf5_serial_hl.so.100 -> libhdf5_serial_hl.so.100.0.0 -rw-r--r-- 1 root root 136K Aug 13 2017 libhdf5_serial_hl.so.100.0.0 lrwxrwxrwx 1 root root 35 Aug 13 2017 libhdf5_serialhl_fortran.so.100 -> libhdf5_serialhl_fortran.so.100.0.0 -rw-r--r-- 1 root root 119K Aug 13 2017 libhdf5_serialhl_fortran.so.100.0.0 lrwxrwxrwx 1 root root 20 Dec 7 18:09 libheimbase.so.1 -> libheimbase.so.1.0.0 -rw-r--r-- 1 root root 59K Dec 7 18:09 libheimbase.so.1.0.0 lrwxrwxrwx 1 root root 20 Dec 7 18:09 libheimntlm.so.0 -> libheimntlm.so.0.1.0 -rw-r--r-- 1 root root 35K Dec 7 18:09 libheimntlm.so.0.1.0 lrwxrwxrwx 1 root root 17 Jun 14 2021 libhogweed.so.4 -> libhogweed.so.4.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libhogweed.so.4.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.0 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.1 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.2 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.3 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.4 -> libhwloc.so.5 lrwxrwxrwx 1 root root 17 Jan 19 2018 libhwloc.so.5 -> libhwloc.so.5.7.6 -rw-r--r-- 1 root root 244K Jan 19 2018 libhwloc.so.5.7.6 lrwxrwxrwx 1 root root 17 Dec 7 18:09 libhx509.so.5 -> libhx509.so.5.0.0 -rw-r--r-- 1 root root 294K Dec 7 18:09 libhx509.so.5.0.0 lrwxrwxrwx 1 root root 22 Aug 5 2019 libibverbs.so.1 -> libibverbs.so.1.1.17.1 -rw-r--r-- 1 root root 87K Aug 5 2019 libibverbs.so.1.1.17.1 -rw-r--r-- 1 root root 55K Dec 9 2017 libicu-le-hb.a lrwxrwxrwx 1 root root 21 Dec 9 2017 libicu-le-hb.so -> libicu-le-hb.so.0.0.0 lrwxrwxrwx 1 root root 21 Dec 9 2017 libicu-le-hb.so.0 -> libicu-le-hb.so.0.0.0 -rw-r--r-- 1 root root 35K Dec 9 2017 libicu-le-hb.so.0.0.0 -rw-r--r-- 1 root root 26M Oct 19 2021 libicudata.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicudata.so -> libicudata.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicudata.so.60 -> libicudata.so.60.2 -rw-r--r-- 1 root root 26M Oct 19 2021 libicudata.so.60.2 -rw-r--r-- 1 root root 5.9M Oct 19 2021 libicui18n.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicui18n.so -> libicui18n.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicui18n.so.60 -> libicui18n.so.60.2 -rw-r--r-- 1 root root 2.7M Oct 19 2021 libicui18n.so.60.2 -rw-r--r-- 1 root root 85K Oct 19 2021 libicuio.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuio.so -> libicuio.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuio.so.60 -> libicuio.so.60.2 -rw-r--r-- 1 root root 55K Oct 19 2021 libicuio.so.60.2 -rw-r--r-- 1 root root 75K Oct 19 2021 libiculx.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libiculx.so -> libiculx.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libiculx.so.60 -> libiculx.so.60.2 -rw-r--r-- 1 root root 47K Oct 19 2021 libiculx.so.60.2 -rw-r--r-- 1 root root 109K Oct 19 2021 libicutest.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicutest.so -> libicutest.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicutest.so.60 -> libicutest.so.60.2 -rw-r--r-- 1 root root 64K Oct 19 2021 libicutest.so.60.2 -rw-r--r-- 1 root root 359K Oct 19 2021 libicutu.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicutu.so -> libicutu.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicutu.so.60 -> libicutu.so.60.2 -rw-r--r-- 1 root root 199K Oct 19 2021 libicutu.so.60.2 -rw-r--r-- 1 root root 3.1M Oct 19 2021 libicuuc.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuuc.so -> libicuuc.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuuc.so.60 -> libicuuc.so.60.2 -rw-r--r-- 1 root root 1.8M Oct 19 2021 libicuuc.so.60.2 lrwxrwxrwx 1 root root 16 Oct 24 2019 libidn2.so.0 -> libidn2.so.0.3.3 -rw-r--r-- 1 root root 114K Oct 24 2019 libidn2.so.0.3.3 lrwxrwxrwx 1 root root 20 Jan 14 2018 libinfinipath.so.4 -> libinfinipath.so.4.0 -rw-r--r-- 1 root root 59K Jan 14 2018 libinfinipath.so.4.0 lrwxrwxrwx 1 root root 17 Nov 12 2017 libip4tc.so.0 -> libip4tc.so.0.1.0 -rw-r--r-- 1 root root 27K Nov 12 2017 libip4tc.so.0.1.0 lrwxrwxrwx 1 root root 16 Mar 9 2018 libisl.so.19 -> libisl.so.19.0.0 -rw-r--r-- 1 root root 1.6M Mar 9 2018 libisl.so.19.0.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libitm.so.1 -> libitm.so.1.0.0 -rw-r--r-- 1 root root 111K Mar 10 2020 libitm.so.1.0.0 -rw-r--r-- 1 root root 51K Nov 22 16:58 libjbig.a lrwxrwxrwx 1 root root 12 Nov 22 16:58 libjbig.so -> libjbig.so.0 -rw-r--r-- 1 root root 57K Nov 22 16:58 libjbig.so.0 -rw-r--r-- 1 root root 580K Sep 21 18:07 libjpeg.a lrwxrwxrwx 1 root root 16 Sep 21 18:07 libjpeg.so -> libjpeg.so.8.1.2 lrwxrwxrwx 1 root root 16 Sep 21 18:07 libjpeg.so.8 -> libjpeg.so.8.1.2 -rw-r--r-- 1 root root 415K Sep 21 18:07 libjpeg.so.8.1.2 lrwxrwxrwx 1 root root 27 Apr 6 2020 libjson-glib-1.0.so.0 -> libjson-glib-1.0.so.0.400.2 -rw-r--r-- 1 root root 154K Apr 6 2020 libjson-glib-1.0.so.0.400.2 lrwxrwxrwx 1 root root 19 Aug 23 2016 libjsoncpp.so.1 -> libjsoncpp.so.1.7.4 -rw-r--r-- 1 root root 199K Aug 23 2016 libjsoncpp.so.1.7.4 lrwxrwxrwx 1 root root 18 Nov 11 2020 libk5crypto.so.3 -> libk5crypto.so.3.1 -rw-r--r-- 1 root root 195K Nov 11 2020 libk5crypto.so.3.1 lrwxrwxrwx 1 root root 19 Sep 25 2017 libkmlbase.so.1 -> libkmlbase.so.1.3.0 -rw-r--r-- 1 root root 107K Sep 25 2017 libkmlbase.so.1.3.0 lrwxrwxrwx 1 root root 18 Sep 25 2017 libkmldom.so.1 -> libkmldom.so.1.3.0 -rw-r--r-- 1 root root 731K Sep 25 2017 libkmldom.so.1.3.0 lrwxrwxrwx 1 root root 21 Sep 25 2017 libkmlengine.so.1 -> libkmlengine.so.1.3.0 -rw-r--r-- 1 root root 223K Sep 25 2017 libkmlengine.so.1.3.0 lrwxrwxrwx 1 root root 17 Dec 7 18:09 libkrb5.so.26 -> libkrb5.so.26.0.0 -rw-r--r-- 1 root root 561K Dec 7 18:09 libkrb5.so.26.0.0 lrwxrwxrwx 1 root root 14 Nov 11 2020 libkrb5.so.3 -> libkrb5.so.3.3 -rw-r--r-- 1 root root 857K Nov 11 2020 libkrb5.so.3.3 lrwxrwxrwx 1 root root 21 Nov 11 2020 libkrb5support.so.0 -> libkrb5support.so.0.1 -rw-r--r-- 1 root root 43K Nov 11 2020 libkrb5support.so.0.1 lrwxrwxrwx 1 root root 21 Mar 24 2018 liblab_gamut.so -> liblab_gamut.so.1.0.0 lrwxrwxrwx 1 root root 21 Mar 24 2018 liblab_gamut.so.1 -> liblab_gamut.so.1.0.0 -rw-r--r-- 1 root root 2.4M Mar 24 2018 liblab_gamut.so.1.0.0 lrwxrwxrwx 1 root root 46 Dec 16 02:18 liblapack.a -> /etc/alternatives/liblapack.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Dec 16 02:18 liblapack.so -> /etc/alternatives/liblapack.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 49 Dec 16 02:18 liblapack.so.3 -> /etc/alternatives/liblapack.so.3-x86_64-linux-gnu lrwxrwxrwx 1 root root 21 May 12 2022 liblber-2.4.so.2 -> liblber-2.4.so.2.10.8 -rw-r--r-- 1 root root 55K May 12 2022 liblber-2.4.so.2.10.8 lrwxrwxrwx 1 root root 17 Sep 20 2018 liblcms2.so.2 -> liblcms2.so.2.0.8 -rw-r--r-- 1 root root 349K Sep 20 2018 liblcms2.so.2.0.8 lrwxrwxrwx 1 root root 18 May 12 2022 libldap-2.4.so.2 -> libldap_r-2.4.so.2 lrwxrwxrwx 1 root root 23 May 12 2022 libldap_r-2.4.so.2 -> libldap_r-2.4.so.2.10.8 -rw-r--r-- 1 root root 320K May 12 2022 libldap_r-2.4.so.2.10.8 lrwxrwxrwx 1 root root 16 Mar 2 2018 liblept.so.5 -> liblept.so.5.0.2 -rw-r--r-- 1 root root 2.4M Mar 2 2018 liblept.so.5.0.2 lrwxrwxrwx 1 root root 16 Mar 10 2020 liblsan.so.0 -> liblsan.so.0.0.0 -rw-r--r-- 1 root root 338K Mar 10 2020 liblsan.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 20 2016 libltdl.so.7 -> libltdl.so.7.3.1 -rw-r--r-- 1 root root 39K Aug 20 2016 libltdl.so.7.3.1 lrwxrwxrwx 1 root root 15 May 20 2021 liblz4.so.1 -> liblz4.so.1.7.1 -rw-r--r-- 1 root root 111K May 20 2021 liblz4.so.1.7.1 -rw-r--r-- 1 root root 261K Apr 8 2022 liblzma.a lrwxrwxrwx 1 root root 38 Apr 8 2022 liblzma.so -> /lib/x86_64-linux-gnu/liblzma.so.5.2.2 -rw-r--r-- 1 root root 3.5M May 3 2022 libm-2.27.a -rw-r--r-- 1 root root 132 May 3 2022 libm.a -rw-r--r-- 1 root root 186 May 3 2022 libm.so lrwxrwxrwx 1 root root 34 Feb 5 2018 libmca_common_libfabric.so.20 -> libmca_common_libfabric.so.20.10.0 lrwxrwxrwx 1 root root 46 Feb 5 2018 libmca_common_libfabric.so.20.10.0 -> openmpi/lib/libmca_common_libfabric.so.20.10.0 lrwxrwxrwx 1 root root 27 Feb 5 2018 libmca_common_sm.so.20 -> libmca_common_sm.so.20.10.1 lrwxrwxrwx 1 root root 39 Feb 5 2018 libmca_common_sm.so.20.10.1 -> openmpi/lib/libmca_common_sm.so.20.10.1 lrwxrwxrwx 1 root root 30 Feb 5 2018 libmca_common_verbs.so.20 -> libmca_common_verbs.so.20.10.0 lrwxrwxrwx 1 root root 42 Feb 5 2018 libmca_common_verbs.so.20.10.0 -> openmpi/lib/libmca_common_verbs.so.20.10.0 -rw-r--r-- 1 root root 1.5K May 3 2022 libmcheck.a lrwxrwxrwx 1 root root 14 May 23 2018 libmenu.so.5 -> libmenu.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenu.so.5.9 lrwxrwxrwx 1 root root 15 May 23 2018 libmenuw.so.5 -> libmenuw.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenuw.so.5.9 lrwxrwxrwx 1 root root 19 Apr 3 2018 libminizip.so.1 -> libminizip.so.1.0.0 -rw-r--r-- 1 root root 43K Apr 3 2018 libminizip.so.1.0.0 lrwxrwxrwx 1 root root 19 Oct 21 2017 libmp3lame.so.0 -> libmp3lame.so.0.0.0 -rw-r--r-- 1 root root 294K Oct 21 2017 libmp3lame.so.0.0.0 lrwxrwxrwx 1 root root 15 Jan 23 2018 libmpc.so.3 -> libmpc.so.3.1.0 -rw-r--r-- 1 root root 96K Jan 23 2018 libmpc.so.3.1.0 lrwxrwxrwx 1 root root 17 Apr 23 2018 libmpdec.so.2 -> libmpdec.so.2.4.2 -rw-r--r-- 1 root root 223K Apr 23 2018 libmpdec.so.2.4.2 lrwxrwxrwx 1 root root 16 Feb 7 2018 libmpfr.so.6 -> libmpfr.so.6.0.1 -rw-r--r-- 1 root root 512K Feb 7 2018 libmpfr.so.6.0.1 lrwxrwxrwx 1 root root 19 Mar 10 2018 libmpg123.so.0 -> libmpg123.so.0.44.8 -rw-r--r-- 1 root root 316K Mar 10 2018 libmpg123.so.0.44.8 lrwxrwxrwx 1 root root 17 Feb 5 2018 libmpi.so.20 -> libmpi.so.20.10.1 lrwxrwxrwx 1 root root 29 Feb 5 2018 libmpi.so.20.10.1 -> openmpi/lib/libmpi.so.20.10.1 lrwxrwxrwx 1 root root 21 Feb 5 2018 libmpi_cxx.so.20 -> libmpi_cxx.so.20.10.0 lrwxrwxrwx 1 root root 33 Feb 5 2018 libmpi_cxx.so.20.10.0 -> openmpi/lib/libmpi_cxx.so.20.10.0 lrwxrwxrwx 1 root root 22 Feb 5 2018 libmpi_java.so.20 -> libmpi_java.so.20.10.0 lrwxrwxrwx 1 root root 34 Feb 5 2018 libmpi_java.so.20.10.0 -> openmpi/lib/libmpi_java.so.20.10.0 lrwxrwxrwx 1 root root 23 Feb 5 2018 libmpi_mpifh.so.20 -> libmpi_mpifh.so.20.11.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libmpi_mpifh.so.20.11.0 -> openmpi/lib/libmpi_mpifh.so.20.11.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libmpi_usempi_ignore_tkr.so.20 -> libmpi_usempi_ignore_tkr.so.20.10.0 lrwxrwxrwx 1 root root 47 Feb 5 2018 libmpi_usempi_ignore_tkr.so.20.10.0 -> openmpi/lib/libmpi_usempi_ignore_tkr.so.20.10.0 lrwxrwxrwx 1 root root 27 Feb 5 2018 libmpi_usempif08.so.20 -> libmpi_usempif08.so.20.10.0 lrwxrwxrwx 1 root root 39 Feb 5 2018 libmpi_usempif08.so.20.10.0 -> openmpi/lib/libmpi_usempif08.so.20.10.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libmpx.so.2 -> libmpx.so.2.0.1 -rw-r--r-- 1 root root 19K Mar 10 2020 libmpx.so.2.0.1 lrwxrwxrwx 1 root root 23 Mar 10 2020 libmpxwrappers.so.2 -> libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 15K Mar 10 2020 libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 337K May 3 2022 libmvec.a lrwxrwxrwx 1 root root 34 May 3 2022 libmvec.so -> /lib/x86_64-linux-gnu/libmvec.so.1 -rw-r--r-- 1 root root 5.9K May 3 2022 libmvec_nonshared.a lrwxrwxrwx 1 root root 25 Oct 19 12:58 libmysqlclient.so.20 -> libmysqlclient.so.20.3.27 -rw-r--r-- 1 root root 3.8M Oct 19 12:58 libmysqlclient.so.20.3.27 -rw-r--r-- 1 root root 1.1M Feb 9 2018 libnetcdf.so.13 lrwxrwxrwx 1 root root 22 Nov 9 2017 libnetcdf_c++.so.4 -> libnetcdf_c++.so.4.2.0 -rw-r--r-- 1 root root 119K Nov 9 2017 libnetcdf_c++.so.4.2.0 lrwxrwxrwx 1 root root 16 Jun 14 2021 libnettle.so.6 -> libnettle.so.6.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libnettle.so.6.5 lrwxrwxrwx 1 root root 21 Apr 10 2018 libnghttp2.so.14 -> libnghttp2.so.14.15.2 -rw-r--r-- 1 root root 150K Apr 10 2018 libnghttp2.so.14.15.2 lrwxrwxrwx 1 root root 25 Jun 2 2017 libnl-route-3.so.200 -> libnl-route-3.so.200.24.0 -rw-r--r-- 1 root root 458K Jun 2 2017 libnl-route-3.so.200.24.0 -rw-r--r-- 1 root root 201K May 3 2022 libnsl.a lrwxrwxrwx 1 root root 33 May 3 2022 libnsl.so -> /lib/x86_64-linux-gnu/libnsl.so.1 -rw-r--r-- 1 root root 234K Feb 22 2018 libnspr4.so -rw-r--r-- 1 root root 1.3M Jul 6 2022 libnss3.so lrwxrwxrwx 1 root root 40 May 3 2022 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 37 May 3 2022 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 39 May 3 2022 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 40 May 3 2022 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 37 May 3 2022 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 41 May 3 2022 libnss_nisplus.so -> /lib/x86_64-linux-gnu/libnss_nisplus.so.2 -rw-r--r-- 1 root root 187K Jul 6 2022 libnssutil3.so lrwxrwxrwx 1 root root 16 Jun 20 2018 libnuma.so.1 -> libnuma.so.1.0.0 -rw-r--r-- 1 root root 43K Jun 20 2018 libnuma.so.1.0.0 lrwxrwxrwx 1 root root 12 Mar 26 2018 libodbc.so.1 -> libodbc.so.2 lrwxrwxrwx 1 root root 16 Mar 26 2018 libodbc.so.2 -> libodbc.so.2.0.0 -rw-r--r-- 1 root root 422K Mar 26 2018 libodbc.so.2.0.0 lrwxrwxrwx 1 root root 14 Mar 26 2018 libodbccr.so.1 -> libodbccr.so.2 lrwxrwxrwx 1 root root 18 Mar 26 2018 libodbccr.so.2 -> libodbccr.so.2.0.0 -rw-r--r-- 1 root root 43K Mar 26 2018 libodbccr.so.2.0.0 lrwxrwxrwx 1 root root 16 Mar 26 2018 libodbcinst.so.1 -> libodbcinst.so.2 lrwxrwxrwx 1 root root 20 Mar 26 2018 libodbcinst.so.2 -> libodbcinst.so.2.0.0 -rw-r--r-- 1 root root 71K Mar 26 2018 libodbcinst.so.2.0.0 lrwxrwxrwx 1 root root 15 Jun 2 2014 libogg.so.0 -> libogg.so.0.8.2 -rw-r--r-- 1 root root 34K Jun 2 2014 libogg.so.0.8.2 lrwxrwxrwx 1 root root 23 Feb 5 2018 libompitrace.so.20 -> libompitrace.so.20.10.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libompitrace.so.20.10.0 -> openmpi/lib/libompitrace.so.20.10.0 -rw-r--r-- 1 root root 1.7M Aug 30 13:03 libopcodes-2.30-system.so lrwxrwxrwx 1 root root 22 Feb 5 2018 libopen-pal.so.20 -> libopen-pal.so.20.10.1 lrwxrwxrwx 1 root root 34 Feb 5 2018 libopen-pal.so.20.10.1 -> openmpi/lib/libopen-pal.so.20.10.1 lrwxrwxrwx 1 root root 22 Feb 5 2018 libopen-rte.so.20 -> libopen-rte.so.20.10.1 lrwxrwxrwx 1 root root 34 Feb 5 2018 libopen-rte.so.20.10.1 -> openmpi/lib/libopen-rte.so.20.10.1 lrwxrwxrwx 1 root root 22 Sep 19 2017 libopenblas.a -> libopenblasp-r0.2.20.a lrwxrwxrwx 1 root root 23 Sep 19 2017 libopenblas.so -> libopenblasp-r0.2.20.so lrwxrwxrwx 1 root root 23 Sep 19 2017 libopenblas.so.0 -> libopenblasp-r0.2.20.so -rw-r--r-- 1 root root 51M Sep 19 2017 libopenblasp-r0.2.20.a -rw-r--r-- 1 root root 33M Sep 19 2017 libopenblasp-r0.2.20.so -rw-r--r-- 1 root root 483K Sep 20 2018 libopencv_aruco.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_aruco.so -> libopencv_aruco.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_aruco.so.3.2 -> libopencv_aruco.so.3.2.0 -rw-r--r-- 1 root root 285K Sep 20 2018 libopencv_aruco.so.3.2.0 -rw-r--r-- 1 root root 116K Sep 20 2018 libopencv_bgsegm.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_bgsegm.so -> libopencv_bgsegm.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_bgsegm.so.3.2 -> libopencv_bgsegm.so.3.2.0 -rw-r--r-- 1 root root 51K Sep 20 2018 libopencv_bgsegm.so.3.2.0 -rw-r--r-- 1 root root 449K Sep 20 2018 libopencv_bioinspired.a lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_bioinspired.so -> libopencv_bioinspired.so.3.2 lrwxrwxrwx 1 root root 30 Sep 20 2018 libopencv_bioinspired.so.3.2 -> libopencv_bioinspired.so.3.2.0 -rw-r--r-- 1 root root 171K Sep 20 2018 libopencv_bioinspired.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_calib3d.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_calib3d.so -> libopencv_calib3d.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_calib3d.so.3.2 -> libopencv_calib3d.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_calib3d.so.3.2.0 -rw-r--r-- 1 root root 633K Sep 20 2018 libopencv_ccalib.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_ccalib.so -> libopencv_ccalib.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_ccalib.so.3.2 -> libopencv_ccalib.so.3.2.0 -rw-r--r-- 1 root root 363K Sep 20 2018 libopencv_ccalib.so.3.2.0 -rw-r--r-- 1 root root 4.6M Sep 20 2018 libopencv_core.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_core.so -> libopencv_core.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_core.so.3.2 -> libopencv_core.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_core.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_datasets.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_datasets.so -> libopencv_datasets.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_datasets.so.3.2 -> libopencv_datasets.so.3.2.0 -rw-r--r-- 1 root root 399K Sep 20 2018 libopencv_datasets.so.3.2.0 -rw-r--r-- 1 root root 206K Sep 20 2018 libopencv_dpm.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_dpm.so -> libopencv_dpm.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_dpm.so.3.2 -> libopencv_dpm.so.3.2.0 -rw-r--r-- 1 root root 99K Sep 20 2018 libopencv_dpm.so.3.2.0 -rw-r--r-- 1 root root 331K Sep 20 2018 libopencv_face.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_face.so -> libopencv_face.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_face.so.3.2 -> libopencv_face.so.3.2.0 -rw-r--r-- 1 root root 143K Sep 20 2018 libopencv_face.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_features2d.a lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_features2d.so -> libopencv_features2d.so.3.2 lrwxrwxrwx 1 root root 29 Sep 20 2018 libopencv_features2d.so.3.2 -> libopencv_features2d.so.3.2.0 -rw-r--r-- 1 root root 723K Sep 20 2018 libopencv_features2d.so.3.2.0 -rw-r--r-- 1 root root 1007K Sep 20 2018 libopencv_flann.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_flann.so -> libopencv_flann.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_flann.so.3.2 -> libopencv_flann.so.3.2.0 -rw-r--r-- 1 root root 319K Sep 20 2018 libopencv_flann.so.3.2.0 -rw-r--r-- 1 root root 43K Sep 20 2018 libopencv_freetype.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_freetype.so -> libopencv_freetype.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_freetype.so.3.2 -> libopencv_freetype.so.3.2.0 -rw-r--r-- 1 root root 27K Sep 20 2018 libopencv_freetype.so.3.2.0 -rw-r--r-- 1 root root 73K Sep 20 2018 libopencv_fuzzy.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_fuzzy.so -> libopencv_fuzzy.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_fuzzy.so.3.2 -> libopencv_fuzzy.so.3.2.0 -rw-r--r-- 1 root root 54K Sep 20 2018 libopencv_fuzzy.so.3.2.0 -rw-r--r-- 1 root root 75K Sep 20 2018 libopencv_hdf.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_hdf.so -> libopencv_hdf.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_hdf.so.3.2 -> libopencv_hdf.so.3.2.0 -rw-r--r-- 1 root root 39K Sep 20 2018 libopencv_hdf.so.3.2.0 -rw-r--r-- 1 root root 94K Sep 20 2018 libopencv_highgui.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_highgui.so -> libopencv_highgui.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_highgui.so.3.2 -> libopencv_highgui.so.3.2.0 -rw-r--r-- 1 root root 47K Sep 20 2018 libopencv_highgui.so.3.2.0 -rw-r--r-- 1 root root 756K Sep 20 2018 libopencv_imgcodecs.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_imgcodecs.so -> libopencv_imgcodecs.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_imgcodecs.so.3.2 -> libopencv_imgcodecs.so.3.2.0 -rw-r--r-- 1 root root 227K Sep 20 2018 libopencv_imgcodecs.so.3.2.0 -rw-r--r-- 1 root root 5.5M Sep 20 2018 libopencv_imgproc.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_imgproc.so -> libopencv_imgproc.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_imgproc.so.3.2 -> libopencv_imgproc.so.3.2.0 -rw-r--r-- 1 root root 2.8M Sep 20 2018 libopencv_imgproc.so.3.2.0 -rw-r--r-- 1 root root 312K Sep 20 2018 libopencv_line_descriptor.a lrwxrwxrwx 1 root root 32 Sep 20 2018 libopencv_line_descriptor.so -> libopencv_line_descriptor.so.3.2 lrwxrwxrwx 1 root root 34 Sep 20 2018 libopencv_line_descriptor.so.3.2 -> libopencv_line_descriptor.so.3.2.0 -rw-r--r-- 1 root root 159K Sep 20 2018 libopencv_line_descriptor.so.3.2.0 -rw-r--r-- 1 root root 1.5M Sep 20 2018 libopencv_ml.a lrwxrwxrwx 1 root root 19 Sep 20 2018 libopencv_ml.so -> libopencv_ml.so.3.2 lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_ml.so.3.2 -> libopencv_ml.so.3.2.0 -rw-r--r-- 1 root root 679K Sep 20 2018 libopencv_ml.so.3.2.0 -rw-r--r-- 1 root root 689K Sep 20 2018 libopencv_objdetect.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_objdetect.so -> libopencv_objdetect.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_objdetect.so.3.2 -> libopencv_objdetect.so.3.2.0 -rw-r--r-- 1 root root 343K Sep 20 2018 libopencv_objdetect.so.3.2.0 -rw-r--r-- 1 root root 648K Sep 20 2018 libopencv_optflow.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_optflow.so -> libopencv_optflow.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_optflow.so.3.2 -> libopencv_optflow.so.3.2.0 -rw-r--r-- 1 root root 327K Sep 20 2018 libopencv_optflow.so.3.2.0 -rw-r--r-- 1 root root 62K Sep 20 2018 libopencv_phase_unwrapping.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_phase_unwrapping.so -> libopencv_phase_unwrapping.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_phase_unwrapping.so.3.2 -> libopencv_phase_unwrapping.so.3.2.0 -rw-r--r-- 1 root root 35K Sep 20 2018 libopencv_phase_unwrapping.so.3.2.0 -rw-r--r-- 1 root root 1.5M Sep 20 2018 libopencv_photo.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_photo.so -> libopencv_photo.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_photo.so.3.2 -> libopencv_photo.so.3.2.0 -rw-r--r-- 1 root root 771K Sep 20 2018 libopencv_photo.so.3.2.0 -rw-r--r-- 1 root root 66K Sep 20 2018 libopencv_plot.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_plot.so -> libopencv_plot.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_plot.so.3.2 -> libopencv_plot.so.3.2.0 -rw-r--r-- 1 root root 43K Sep 20 2018 libopencv_plot.so.3.2.0 -rw-r--r-- 1 root root 268K Sep 20 2018 libopencv_reg.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_reg.so -> libopencv_reg.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_reg.so.3.2 -> libopencv_reg.so.3.2.0 -rw-r--r-- 1 root root 127K Sep 20 2018 libopencv_reg.so.3.2.0 -rw-r--r-- 1 root root 982K Sep 20 2018 libopencv_rgbd.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_rgbd.so -> libopencv_rgbd.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_rgbd.so.3.2 -> libopencv_rgbd.so.3.2.0 -rw-r--r-- 1 root root 535K Sep 20 2018 libopencv_rgbd.so.3.2.0 -rw-r--r-- 1 root root 353K Sep 20 2018 libopencv_saliency.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_saliency.so -> libopencv_saliency.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_saliency.so.3.2 -> libopencv_saliency.so.3.2.0 -rw-r--r-- 1 root root 179K Sep 20 2018 libopencv_saliency.so.3.2.0 -rw-r--r-- 1 root root 428K Sep 20 2018 libopencv_shape.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_shape.so -> libopencv_shape.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_shape.so.3.2 -> libopencv_shape.so.3.2.0 -rw-r--r-- 1 root root 187K Sep 20 2018 libopencv_shape.so.3.2.0 -rw-r--r-- 1 root root 327K Sep 20 2018 libopencv_stereo.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_stereo.so -> libopencv_stereo.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_stereo.so.3.2 -> libopencv_stereo.so.3.2.0 -rw-r--r-- 1 root root 123K Sep 20 2018 libopencv_stereo.so.3.2.0 -rw-r--r-- 1 root root 1.1M Sep 20 2018 libopencv_stitching.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_stitching.so -> libopencv_stitching.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_stitching.so.3.2 -> libopencv_stitching.so.3.2.0 -rw-r--r-- 1 root root 519K Sep 20 2018 libopencv_stitching.so.3.2.0 -rw-r--r-- 1 root root 156K Sep 20 2018 libopencv_structured_light.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_structured_light.so -> libopencv_structured_light.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_structured_light.so.3.2 -> libopencv_structured_light.so.3.2.0 -rw-r--r-- 1 root root 91K Sep 20 2018 libopencv_structured_light.so.3.2.0 -rw-r--r-- 1 root root 295K Sep 20 2018 libopencv_superres.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_superres.so -> libopencv_superres.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_superres.so.3.2 -> libopencv_superres.so.3.2.0 -rw-r--r-- 1 root root 151K Sep 20 2018 libopencv_superres.so.3.2.0 -rw-r--r-- 1 root root 1.1M Sep 20 2018 libopencv_surface_matching.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_surface_matching.so -> libopencv_surface_matching.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_surface_matching.so.3.2 -> libopencv_surface_matching.so.3.2.0 -rw-r--r-- 1 root root 259K Sep 20 2018 libopencv_surface_matching.so.3.2.0 -rw-r--r-- 1 root root 761K Sep 20 2018 libopencv_text.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_text.so -> libopencv_text.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_text.so.3.2 -> libopencv_text.so.3.2.0 -rw-r--r-- 1 root root 367K Sep 20 2018 libopencv_text.so.3.2.0 -rw-r--r-- 1 root root 1.6M Sep 20 2018 libopencv_ts.a -rw-r--r-- 1 root root 700K Sep 20 2018 libopencv_video.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_video.so -> libopencv_video.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_video.so.3.2 -> libopencv_video.so.3.2.0 -rw-r--r-- 1 root root 395K Sep 20 2018 libopencv_video.so.3.2.0 -rw-r--r-- 1 root root 488K Sep 20 2018 libopencv_videoio.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_videoio.so -> libopencv_videoio.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_videoio.so.3.2 -> libopencv_videoio.so.3.2.0 -rw-r--r-- 1 root root 211K Sep 20 2018 libopencv_videoio.so.3.2.0 -rw-r--r-- 1 root root 688K Sep 20 2018 libopencv_videostab.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_videostab.so -> libopencv_videostab.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_videostab.so.3.2 -> libopencv_videostab.so.3.2.0 -rw-r--r-- 1 root root 347K Sep 20 2018 libopencv_videostab.so.3.2.0 -rw-r--r-- 1 root root 1019K Sep 20 2018 libopencv_viz.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_viz.so -> libopencv_viz.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_viz.so.3.2 -> libopencv_viz.so.3.2.0 -rw-r--r-- 1 root root 363K Sep 20 2018 libopencv_viz.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_ximgproc.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_ximgproc.so -> libopencv_ximgproc.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_ximgproc.so.3.2 -> libopencv_ximgproc.so.3.2.0 -rw-r--r-- 1 root root 983K Sep 20 2018 libopencv_ximgproc.so.3.2.0 -rw-r--r-- 1 root root 186K Sep 20 2018 libopencv_xobjdetect.a lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_xobjdetect.so -> libopencv_xobjdetect.so.3.2 lrwxrwxrwx 1 root root 29 Sep 20 2018 libopencv_xobjdetect.so.3.2 -> libopencv_xobjdetect.so.3.2.0 -rw-r--r-- 1 root root 87K Sep 20 2018 libopencv_xobjdetect.so.3.2.0 -rw-r--r-- 1 root root 441K Sep 20 2018 libopencv_xphoto.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_xphoto.so -> libopencv_xphoto.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_xphoto.so.3.2 -> libopencv_xphoto.so.3.2.0 -rw-r--r-- 1 root root 220K Sep 20 2018 libopencv_xphoto.so.3.2.0 -rw-r--r-- 1 root root 343K Aug 20 2019 libopenjp2.so.2.3.0 lrwxrwxrwx 1 root root 19 Aug 20 2019 libopenjp2.so.7 -> libopenjp2.so.2.3.0 lrwxrwxrwx 1 root root 19 Feb 4 2018 libopenmpt.so.0 -> libopenmpt.so.0.1.1 -rw-r--r-- 1 root root 1.5M Feb 4 2018 libopenmpt.so.0.1.1 lrwxrwxrwx 1 root root 16 Feb 17 2016 libopus.so.0 -> libopus.so.0.5.2 -rw-r--r-- 1 root root 295K Feb 17 2016 libopus.so.0.5.2 lrwxrwxrwx 1 root root 32 Feb 5 2018 liboshmem.so.20 -> openmpi/lib/liboshmem.so.20.10.1 lrwxrwxrwx 1 root root 19 Jan 4 2021 libp11-kit.so.0 -> libp11-kit.so.0.3.0 -rw-r--r-- 1 root root 1.2M Jan 4 2021 libp11-kit.so.0.3.0 lrwxrwxrwx 1 root root 15 May 23 2018 libpanel.so.5 -> libpanel.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanel.so.5.9 lrwxrwxrwx 1 root root 16 May 23 2018 libpanelw.so.5 -> libpanelw.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanelw.so.5.9 lrwxrwxrwx 1 root root 25 Aug 21 2018 libpango-1.0.so.0 -> libpango-1.0.so.0.4000.14 -rw-r--r-- 1 root root 306K Aug 21 2018 libpango-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 30 Aug 21 2018 libpangocairo-1.0.so.0 -> libpangocairo-1.0.so.0.4000.14 -rw-r--r-- 1 root root 50K Aug 21 2018 libpangocairo-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 28 Aug 21 2018 libpangoft2-1.0.so.0 -> libpangoft2-1.0.so.0.4000.14 -rw-r--r-- 1 root root 86K Aug 21 2018 libpangoft2-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 20 Mar 24 2018 libpathplan.so -> libpathplan.so.4.0.0 lrwxrwxrwx 1 root root 20 Mar 24 2018 libpathplan.so.4 -> libpathplan.so.4.0.0 -rw-r--r-- 1 root root 31K Mar 24 2018 libpathplan.so.4.0.0 lrwxrwxrwx 1 root root 22 Mar 18 2018 libpciaccess.so.0 -> libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 35K Mar 18 2018 libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 615K May 17 2022 libpcre.a lrwxrwxrwx 1 root root 34 May 17 2022 libpcre.so -> /lib/x86_64-linux-gnu/libpcre.so.3 -rw-r--r-- 1 root root 576K May 17 2022 libpcre16.a lrwxrwxrwx 1 root root 19 May 17 2022 libpcre16.so -> libpcre16.so.3.13.3 lrwxrwxrwx 1 root root 19 May 17 2022 libpcre16.so.3 -> libpcre16.so.3.13.3 -rw-r--r-- 1 root root 410K May 17 2022 libpcre16.so.3.13.3 -rw-r--r-- 1 root root 558K May 17 2022 libpcre32.a lrwxrwxrwx 1 root root 19 May 17 2022 libpcre32.so -> libpcre32.so.3.13.3 lrwxrwxrwx 1 root root 19 May 17 2022 libpcre32.so.3 -> libpcre32.so.3.13.3 -rw-r--r-- 1 root root 390K May 17 2022 libpcre32.so.3.13.3 -rw-r--r-- 1 root root 51K May 17 2022 libpcrecpp.a lrwxrwxrwx 1 root root 19 May 17 2022 libpcrecpp.so -> libpcrecpp.so.0.0.1 lrwxrwxrwx 1 root root 19 May 17 2022 libpcrecpp.so.0 -> libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 34K May 17 2022 libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 6.6K May 17 2022 libpcreposix.a lrwxrwxrwx 1 root root 22 May 17 2022 libpcreposix.so -> libpcreposix.so.3.13.3 lrwxrwxrwx 1 root root 22 May 17 2022 libpcreposix.so.3 -> libpcreposix.so.3.13.3 -rw-r--r-- 1 root root 9.9K May 17 2022 libpcreposix.so.3.13.3 lrwxrwxrwx 1 root root 17 Oct 5 10:49 libperl.so.5.26 -> libperl.so.5.26.1 -rw-r--r-- 1 root root 2.0M Oct 5 10:49 libperl.so.5.26.1 lrwxrwxrwx 1 root root 21 Nov 4 15:10 libpixman-1.so.0 -> libpixman-1.so.0.34.0 -rw-r--r-- 1 root root 659K Nov 4 15:10 libpixman-1.so.0.34.0 -rw-r--r-- 1 root root 19K Feb 22 2018 libplc4.so -rw-r--r-- 1 root root 15K Feb 22 2018 libplds4.so lrwxrwxrwx 1 root root 10 Apr 30 2019 libpng.a -> libpng16.a lrwxrwxrwx 1 root root 11 Apr 30 2019 libpng.so -> libpng16.so -rw-r--r-- 1 root root 328K Apr 30 2019 libpng16.a lrwxrwxrwx 1 root root 19 Apr 30 2019 libpng16.so -> libpng16.so.16.34.0 lrwxrwxrwx 1 root root 19 Apr 30 2019 libpng16.so.16 -> libpng16.so.16.34.0 -rw-r--r-- 1 root root 198K Apr 30 2019 libpng16.so.16.34.0 lrwxrwxrwx 1 root root 20 Sep 14 16:46 libpoppler.so.73 -> libpoppler.so.73.0.0 -rw-r--r-- 1 root root 2.6M Sep 14 16:46 libpoppler.so.73.0.0 lrwxrwxrwx 1 root root 13 Aug 11 19:54 libpq.so.5 -> libpq.so.5.10 -rw-r--r-- 1 root root 290K Aug 11 19:54 libpq.so.5.10 lrwxrwxrwx 1 root root 17 Jun 18 2017 libproj.so.12 -> libproj.so.12.0.0 -rw-r--r-- 1 root root 420K Jun 18 2017 libproj.so.12.0.0 lrwxrwxrwx 1 root root 17 Dec 8 2020 libproxy.so.1 -> libproxy.so.1.0.0 -rw-r--r-- 1 root root 123K Dec 8 2020 libproxy.so.1.0.0 lrwxrwxrwx 1 root root 15 Mar 4 2018 libpsl.so.5 -> libpsl.so.5.2.0 -rw-r--r-- 1 root root 54K Mar 4 2018 libpsl.so.5.2.0 lrwxrwxrwx 1 root root 40 Dec 16 02:18 libpsm_infinipath.so.1 -> /etc/alternatives/libpsm_infinipath.so.1 -rw-r--r-- 1 root root 6.0M May 3 2022 libpthread.a -rw-r--r-- 1 root root 252 May 3 2022 libpthread.so -rw-r--r-- 1 root root 29K May 3 2022 libpthread_nonshared.a lrwxrwxrwx 1 root root 19 Nov 28 18:51 libpython2.7.so.1 -> libpython2.7.so.1.0 -rw-r--r-- 1 root root 3.4M Nov 28 18:51 libpython2.7.so.1.0 lrwxrwxrwx 1 root root 20 Nov 25 14:10 libpython3.6m.so.1 -> libpython3.6m.so.1.0 -rw-r--r-- 1 root root 4.5M Nov 25 14:10 libpython3.6m.so.1.0 lrwxrwxrwx 1 root root 17 Dec 9 2017 libqhull.so.7 -> libqhull.so.7.2.0 -rw-r--r-- 1 root root 358K Dec 9 2017 libqhull.so.7.2.0 lrwxrwxrwx 1 root root 20 Mar 10 2020 libquadmath.so.0 -> libquadmath.so.0.0.0 -rw-r--r-- 1 root root 256K Mar 10 2020 libquadmath.so.0.0.0 -rw-r--r-- 1 root root 91K Apr 26 2016 libraw1394.a -rw-r--r-- 1 root root 969 Apr 26 2016 libraw1394.la lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so -> libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so.11 -> libraw1394.so.11.1.0 -rw-r--r-- 1 root root 59K Apr 26 2016 libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 21 Aug 5 2019 librdmacm.so.1 -> librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 87K Aug 5 2019 librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 136K May 3 2022 libresolv.a lrwxrwxrwx 1 root root 36 May 3 2022 libresolv.so -> /lib/x86_64-linux-gnu/libresolv.so.2 lrwxrwxrwx 1 root root 20 Oct 24 2016 librest-0.7.so.0 -> librest-0.7.so.0.0.0 -rw-r--r-- 1 root root 88K Oct 24 2016 librest-0.7.so.0.0.0 lrwxrwxrwx 1 root root 18 Dec 7 18:09 libroken.so.18 -> libroken.so.18.1.0 -rw-r--r-- 1 root root 87K Dec 7 18:09 libroken.so.18.1.0 -rw-r--r-- 1 root root 52K May 3 2022 librpcsvc.a lrwxrwxrwx 1 root root 20 Jul 28 2020 librsvg-2.so.2 -> librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 223K Jul 28 2020 librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 76K May 3 2022 librt.a lrwxrwxrwx 1 root root 32 May 3 2022 librt.so -> /lib/x86_64-linux-gnu/librt.so.1 -rw-r--r-- 1 root root 111K Apr 27 2016 librtmp.so.1 lrwxrwxrwx 1 root root 18 Feb 15 2022 libsasl2.so.2 -> libsasl2.so.2.0.25 -rw-r--r-- 1 root root 107K Feb 15 2022 libsasl2.so.2.0.25 -rw-r--r-- 1 root root 251K Mar 1 2018 libsemanage.so.1 lrwxrwxrwx 1 root root 19 Mar 31 2022 libsensors.so.4 -> libsensors.so.4.4.0 -rw-r--r-- 1 root root 59K Mar 31 2022 libsensors.so.4.4.0 lrwxrwxrwx 1 root root 17 Aug 6 2017 libshine.so.3 -> libshine.so.3.0.1 -rw-r--r-- 1 root root 43K Aug 6 2017 libshine.so.3.0.1 -rw-r--r-- 1 root root 181K Jul 6 2022 libsmime3.so lrwxrwxrwx 1 root root 18 Sep 5 2017 libsnappy.so.1 -> libsnappy.so.1.1.7 -rw-r--r-- 1 root root 31K Sep 5 2017 libsnappy.so.1.1.7 lrwxrwxrwx 1 root root 20 Oct 5 2017 libsocket++.so.1 -> libsocket++.so.1.0.2 -rw-r--r-- 1 root root 132K Oct 5 2017 libsocket++.so.1.0.2 lrwxrwxrwx 1 root root 20 Oct 9 2019 libsoup-2.4.so.1 -> libsoup-2.4.so.1.8.0 -rw-r--r-- 1 root root 971K Oct 9 2019 libsoup-2.4.so.1.8.0 lrwxrwxrwx 1 root root 26 Oct 9 2019 libsoup-gnome-2.4.so.1 -> libsoup-gnome-2.4.so.1.8.0 -rw-r--r-- 1 root root 9.9K Oct 9 2019 libsoup-gnome-2.4.so.1.8.0 lrwxrwxrwx 1 root root 16 Nov 4 2017 libsoxr.so.0 -> libsoxr.so.0.1.1 -rw-r--r-- 1 root root 183K Nov 4 2017 libsoxr.so.0.1.1 lrwxrwxrwx 1 root root 22 Nov 17 2016 libspatialite.so.7 -> libspatialite.so.7.1.0 -rw-r--r-- 1 root root 5.6M Nov 17 2016 libspatialite.so.7.1.0 lrwxrwxrwx 1 root root 17 Feb 8 2022 libspeex.so.1 -> libspeex.so.1.5.0 -rw-r--r-- 1 root root 102K Feb 8 2022 libspeex.so.1.5.0 lrwxrwxrwx 1 root root 19 Nov 4 13:14 libsqlite3.so.0 -> libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 1.1M Nov 4 13:14 libsqlite3.so.0.8.6 lrwxrwxrwx 1 root root 22 Jul 31 2020 libssh-gcrypt.so.4 -> libssh-gcrypt.so.4.5.0 -rw-r--r-- 1 root root 465K Jul 31 2020 libssh-gcrypt.so.4.5.0 lrwxrwxrwx 1 root root 30 Jul 31 2020 libssh-gcrypt_threads.so.4 -> libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 6.0K Jul 31 2020 libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 415K Jun 20 2022 libssl.so.1.0.0 -rw-r--r-- 1 root root 564K Jul 4 2022 libssl.so.1.1 -rw-r--r-- 1 root root 321K Jul 6 2022 libssl3.so lrwxrwxrwx 1 root root 19 Mar 10 2020 libstdc++.so.6 -> libstdc++.so.6.0.25 -rw-r--r-- 1 root root 1.6M Mar 10 2020 libstdc++.so.6.0.25 lrwxrwxrwx 1 root root 19 Nov 6 2017 libsuperlu.so.5 -> libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 447K Nov 6 2017 libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 220K May 18 2022 libswresample.a lrwxrwxrwx 1 root root 24 May 18 2022 libswresample.so -> libswresample.so.2.9.100 lrwxrwxrwx 1 root root 24 May 18 2022 libswresample.so.2 -> libswresample.so.2.9.100 -rw-r--r-- 1 root root 122K May 18 2022 libswresample.so.2.9.100 -rw-r--r-- 1 root root 780K May 18 2022 libswscale.a lrwxrwxrwx 1 root root 21 May 18 2022 libswscale.so -> libswscale.so.4.8.100 lrwxrwxrwx 1 root root 21 May 18 2022 libswscale.so.4 -> libswscale.so.4.8.100 -rw-r--r-- 1 root root 538K May 18 2022 libswscale.so.4.8.100 lrwxrwxrwx 1 root root 14 Jul 28 2017 libsz.so.2 -> libsz.so.2.0.1 -rw-r--r-- 1 root root 9.9K Jul 28 2017 libsz.so.2.0.1 lrwxrwxrwx 1 root root 17 Jan 21 2018 libtasn1.so.6 -> libtasn1.so.6.5.5 -rw-r--r-- 1 root root 74K Jan 21 2018 libtasn1.so.6.5.5 lrwxrwxrwx 1 root root 11 Oct 4 2017 libtbb.so -> libtbb.so.2 -rw-r--r-- 1 root root 230K Oct 4 2017 libtbb.so.2 lrwxrwxrwx 1 root root 17 Oct 4 2017 libtbbmalloc.so -> libtbbmalloc.so.2 -rw-r--r-- 1 root root 110K Oct 4 2017 libtbbmalloc.so.2 lrwxrwxrwx 1 root root 23 Oct 4 2017 libtbbmalloc_proxy.so -> libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 11K Oct 4 2017 libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 1.7M Feb 22 2018 libtcl8.6.so lrwxrwxrwx 1 root root 12 Feb 22 2018 libtcl8.6.so.0 -> libtcl8.6.so lrwxrwxrwx 1 root root 21 Apr 7 2018 libtesseract.so.4 -> libtesseract.so.4.0.0 -rw-r--r-- 1 root root 3.1M Apr 7 2018 libtesseract.so.4.0.0 lrwxrwxrwx 1 root root 16 Feb 16 2018 libthai.so.0 -> libthai.so.0.3.0 -rw-r--r-- 1 root root 37K Feb 16 2018 libthai.so.0.3.0 lrwxrwxrwx 1 root root 19 May 27 2016 libtheora.so.0 -> libtheora.so.0.3.10 -rw-r--r-- 1 root root 327K May 27 2016 libtheora.so.0.3.10 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoradec.so.1 -> libtheoradec.so.1.1.4 -rw-r--r-- 1 root root 119K May 27 2016 libtheoradec.so.1.1.4 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoraenc.so.1 -> libtheoraenc.so.1.1.2 -rw-r--r-- 1 root root 251K May 27 2016 libtheoraenc.so.1.1.2 lrwxrwxrwx 1 root root 39 May 3 2022 libthread_db.so -> /lib/x86_64-linux-gnu/libthread_db.so.1 lrwxrwxrwx 1 root root 13 May 23 2018 libtic.so.5 -> libtic.so.5.9 -rw-r--r-- 1 root root 62K May 23 2018 libtic.so.5.9 -rw-r--r-- 1 root root 753K Dec 1 09:22 libtiff.a lrwxrwxrwx 1 root root 16 Dec 1 09:22 libtiff.so -> libtiff.so.5.3.0 lrwxrwxrwx 1 root root 16 Dec 1 09:22 libtiff.so.5 -> libtiff.so.5.3.0 -rw-r--r-- 1 root root 479K Dec 1 09:22 libtiff.so.5.3.0 -rw-r--r-- 1 root root 8.5K Dec 1 09:22 libtiffxx.a lrwxrwxrwx 1 root root 18 Dec 1 09:22 libtiffxx.so -> libtiffxx.so.5.3.0 lrwxrwxrwx 1 root root 18 Dec 1 09:22 libtiffxx.so.5 -> libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 10K Dec 1 09:22 libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 1.4M Mar 24 2018 libtk8.6.so lrwxrwxrwx 1 root root 11 Mar 24 2018 libtk8.6.so.0 -> libtk8.6.so lrwxrwxrwx 1 root root 16 Mar 10 2020 libtsan.so.0 -> libtsan.so.0.0.0 -rw-r--r-- 1 root root 942K Mar 10 2020 libtsan.so.0.0.0 -rw-r--r-- 1 root root 3.6K Mar 10 2020 libtsan_preinit.o lrwxrwxrwx 1 root root 19 Aug 29 2017 libtwolame.so.0 -> libtwolame.so.0.0.0 -rw-r--r-- 1 root root 122K Aug 29 2017 libtwolame.so.0.0.0 lrwxrwxrwx 1 root root 17 Dec 4 2019 libubsan.so.0 -> libubsan.so.0.0.0 -rw-r--r-- 1 root root 322K Dec 4 2019 libubsan.so.0.0.0 lrwxrwxrwx 1 root root 21 Mar 21 2019 libunistring.so.2 -> libunistring.so.2.1.0 -rw-r--r-- 1 root root 1.5M Mar 21 2019 libunistring.so.2.1.0 lrwxrwxrwx 1 root root 22 Jul 12 13:52 liburiparser.so.1 -> liburiparser.so.1.0.20 -rw-r--r-- 1 root root 110K Jul 12 13:52 liburiparser.so.1.0.20 -rw-r--r-- 1 root root 15K May 3 2022 libutil.a lrwxrwxrwx 1 root root 34 May 3 2022 libutil.so -> /lib/x86_64-linux-gnu/libutil.so.1 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-drm.so.2 -> libva-drm.so.2.100.0 -rw-r--r-- 1 root root 11K Apr 3 2018 libva-drm.so.2.100.0 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-x11.so.2 -> libva-x11.so.2.100.0 -rw-r--r-- 1 root root 23K Apr 3 2018 libva-x11.so.2.100.0 lrwxrwxrwx 1 root root 16 Apr 3 2018 libva.so.2 -> libva.so.2.100.0 -rw-r--r-- 1 root root 131K Apr 3 2018 libva.so.2.100.0 lrwxrwxrwx 1 root root 17 Feb 19 2016 libvdpau.so.1 -> libvdpau.so.1.0.0 -rw-r--r-- 1 root root 15K Feb 19 2016 libvdpau.so.1.0.0 lrwxrwxrwx 1 root root 18 Mar 16 2018 libvorbis.so.0 -> libvorbis.so.0.4.8 -rw-r--r-- 1 root root 171K Mar 16 2018 libvorbis.so.0.4.8 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisenc.so.2 -> libvorbisenc.so.2.0.11 -rw-r--r-- 1 root root 675K Mar 16 2018 libvorbisenc.so.2.0.11 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisfile.so.3 -> libvorbisfile.so.3.3.7 -rw-r--r-- 1 root root 31K Mar 16 2018 libvorbisfile.so.3.3.7 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5 -> libvpx.so.5.0.0 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5.0 -> libvpx.so.5.0.0 -rw-r--r-- 1 root root 2.3M Nov 19 2019 libvpx.so.5.0.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkChartsCore-6.3.so.6.3 -> libvtkChartsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.4M Dec 17 2017 libvtkChartsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3 -> libvtkChartsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 939K Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3 -> libvtkChartsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 573K Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkCommonColor-6.3.so.6.3 -> libvtkCommonColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkCommonColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3 -> libvtkCommonColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 70K Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3 -> libvtkCommonColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3 -> libvtkCommonComputationalGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3 -> libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3 -> libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 259K Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonCore-6.3.so.6.3 -> libvtkCommonCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkCommonCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3 -> libvtkCommonCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.0M Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3 -> libvtkCommonCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3 -> libvtkCommonDataModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.4M Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3 -> libvtkCommonDataModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3 -> libvtkCommonDataModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3 -> libvtkCommonExecutionModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 669K Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3 -> libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3 -> libvtkCommonExecutionModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 474K Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMath-6.3.so.6.3 -> libvtkCommonMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 128K Dec 17 2017 libvtkCommonMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3 -> libvtkCommonMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 347K Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3 -> libvtkCommonMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMisc-6.3.so.6.3 -> libvtkCommonMisc-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMisc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3 -> libvtkCommonMiscPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3 -> libvtkCommonMiscTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkCommonSystem-6.3.so.6.3 -> libvtkCommonSystem-6.3.so.6.3.0 -rw-r--r-- 1 root root 76K Dec 17 2017 libvtkCommonSystem-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3 -> libvtkCommonSystemPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3 -> libvtkCommonSystemTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3 -> libvtkCommonTransforms-6.3.so.6.3.0 -rw-r--r-- 1 root root 184K Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3 -> libvtkCommonTransformsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 263K Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3 -> libvtkCommonTransformsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 200K Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkDICOMParser-6.3.so.6.3 -> libvtkDICOMParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 96K Dec 17 2017 libvtkDICOMParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3 -> libvtkDomainsChemistry-6.3.so.6.3.0 -rw-r--r-- 1 root root 293K Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3 -> libvtkDomainsChemistryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3 -> libvtkDomainsChemistryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3 -> libvtkFiltersAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 273K Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3 -> libvtkFiltersAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3 -> libvtkFiltersAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkFiltersCore-6.3.so.6.3 -> libvtkFiltersCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.9M Dec 17 2017 libvtkFiltersCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3 -> libvtkFiltersCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.6M Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3 -> libvtkFiltersCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3 -> libvtkFiltersExtraction-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3 -> libvtkFiltersExtractionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 497K Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3 -> libvtkFiltersExtractionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 360K Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3 -> libvtkFiltersFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 473K Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 495K Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 264K Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3 -> libvtkFiltersGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3 -> libvtkFiltersGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3 -> libvtkFiltersGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3 -> libvtkFiltersGeneric-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3 -> libvtkFiltersGenericPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 391K Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3 -> libvtkFiltersGenericTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3 -> libvtkFiltersGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 546K Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3 -> libvtkFiltersGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3 -> libvtkFiltersGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3 -> libvtkFiltersHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 867K Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3 -> libvtkFiltersHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 701K Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3 -> libvtkFiltersHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 432K Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3 -> libvtkFiltersHyperTree-6.3.so.6.3.0 -rw-r--r-- 1 root root 297K Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3 -> libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 218K Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3 -> libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3 -> libvtkFiltersImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3 -> libvtkFiltersImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 111K Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3 -> libvtkFiltersImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3 -> libvtkFiltersModeling-6.3.so.6.3.0 -rw-r--r-- 1 root root 481K Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3 -> libvtkFiltersModelingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 607K Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3 -> libvtkFiltersModelingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 388K Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3 -> libvtkFiltersParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 860K Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3 -> libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 232K Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 52 Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3 -> libvtkFiltersParallelGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 265K Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 51 Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3 -> libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3 -> libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3 -> libvtkFiltersParallelImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 140K Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3 -> libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 45K Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3 -> libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3 -> libvtkFiltersParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 237K Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3 -> libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 94K Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3 -> libvtkFiltersParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3 -> libvtkFiltersParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 484K Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3 -> libvtkFiltersParallelStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 53 Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 74K Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3 -> libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3 -> libvtkFiltersParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 380K Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3 -> libvtkFiltersProgrammable-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3 -> libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3 -> libvtkFiltersProgrammableTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersPython-6.3.so.6.3 -> libvtkFiltersPython-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkFiltersPython-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3 -> libvtkFiltersPythonPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3 -> libvtkFiltersReebGraph-6.3.so.6.3.0 -rw-r--r-- 1 root root 108K Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3 -> libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3 -> libvtkFiltersReebGraphTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3 -> libvtkFiltersSMP-6.3.so.6.3.0 -rw-r--r-- 1 root root 407K Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3 -> libvtkFiltersSMPPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3 -> libvtkFiltersSMPTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3 -> libvtkFiltersSelection-6.3.so.6.3.0 -rw-r--r-- 1 root root 100K Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3 -> libvtkFiltersSelectionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 109K Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3 -> libvtkFiltersSelectionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 83K Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersSources-6.3.so.6.3 -> libvtkFiltersSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 773K Dec 17 2017 libvtkFiltersSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3 -> libvtkFiltersSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.2M Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3 -> libvtkFiltersSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 760K Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3 -> libvtkFiltersStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3 -> libvtkFiltersStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 224K Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3 -> libvtkFiltersTexture-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3 -> libvtkFiltersTexturePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 219K Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3 -> libvtkFiltersTextureTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 167K Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3 -> libvtkFiltersVerdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 124K Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3 -> libvtkFiltersVerdictPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 267K Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3 -> libvtkFiltersVerdictTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkGeovisCore-6.3.so.6.3 -> libvtkGeovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 707K Dec 17 2017 libvtkGeovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3 -> libvtkGeovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 555K Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3 -> libvtkGeovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 392K Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOAMR-6.3.so.6.3 -> libvtkIOAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 282K Dec 17 2017 libvtkIOAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3 -> libvtkIOAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3 -> libvtkIOAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOCore-6.3.so.6.3 -> libvtkIOCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 458K Dec 17 2017 libvtkIOCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3 -> libvtkIOCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 322K Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3 -> libvtkIOCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOEnSight-6.3.so.6.3 -> libvtkIOEnSight-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkIOEnSight-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3 -> libvtkIOEnSightPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 141K Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3 -> libvtkIOEnSightTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExodus-6.3.so.6.3 -> libvtkIOExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 660K Dec 17 2017 libvtkIOExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3 -> libvtkIOExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 385K Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3 -> libvtkIOExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExport-6.3.so.6.3 -> libvtkIOExport-6.3.so.6.3.0 -rw-r--r-- 1 root root 513K Dec 17 2017 libvtkIOExport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3 -> libvtkIOExportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3 -> libvtkIOExportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3 -> libvtkIOFFMPEG-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3 -> libvtkIOFFMPEGPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3 -> libvtkIOFFMPEGTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 31K Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOGDAL-6.3.so.6.3 -> libvtkIOGDAL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkIOGDAL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3 -> libvtkIOGDALPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 60K Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3 -> libvtkIOGDALTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3 -> libvtkIOGeoJSON-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3 -> libvtkIOGeoJSONPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3 -> libvtkIOGeoJSONTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOGeometry-6.3.so.6.3 -> libvtkIOGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkIOGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3 -> libvtkIOGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3 -> libvtkIOGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 400K Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOImage-6.3.so.6.3 -> libvtkIOImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.6M Dec 17 2017 libvtkIOImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3 -> libvtkIOImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3 -> libvtkIOImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 540K Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOImport-6.3.so.6.3 -> libvtkIOImport-6.3.so.6.3.0 -rw-r--r-- 1 root root 276K Dec 17 2017 libvtkIOImport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3 -> libvtkIOImportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 57K Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3 -> libvtkIOImportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOInfovis-6.3.so.6.3 -> libvtkIOInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 562K Dec 17 2017 libvtkIOInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3 -> libvtkIOInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3 -> libvtkIOInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3 -> libvtkIOLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 313K Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3 -> libvtkIOLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 130K Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3 -> libvtkIOLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLegacy-6.3.so.6.3 -> libvtkIOLegacy-6.3.so.6.3.0 -rw-r--r-- 1 root root 655K Dec 17 2017 libvtkIOLegacy-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3 -> libvtkIOLegacyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 354K Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3 -> libvtkIOLegacyTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOMINC-6.3.so.6.3 -> libvtkIOMINC-6.3.so.6.3.0 -rw-r--r-- 1 root root 450K Dec 17 2017 libvtkIOMINC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3 -> libvtkIOMINCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 214K Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3 -> libvtkIOMINCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3 -> libvtkIOMPIImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 161K Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3 -> libvtkIOMPIImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3 -> libvtkIOMPIImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3 -> libvtkIOMPIParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 217K Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3 -> libvtkIOMPIParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3 -> libvtkIOMPIParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMovie-6.3.so.6.3 -> libvtkIOMovie-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOMovie-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3 -> libvtkIOMoviePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 49K Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3 -> libvtkIOMovieTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMySQL-6.3.so.6.3 -> libvtkIOMySQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 144K Dec 17 2017 libvtkIOMySQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3 -> libvtkIOMySQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3 -> libvtkIOMySQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIONetCDF-6.3.so.6.3 -> libvtkIONetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 410K Dec 17 2017 libvtkIONetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3 -> libvtkIONetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 201K Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3 -> libvtkIONetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOODBC-6.3.so.6.3 -> libvtkIOODBC-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkIOODBC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3 -> libvtkIOODBCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3 -> libvtkIOODBCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOPLY-6.3.so.6.3 -> libvtkIOPLY-6.3.so.6.3.0 -rw-r--r-- 1 root root 97K Dec 17 2017 libvtkIOPLY-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3 -> libvtkIOPLYPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3 -> libvtkIOPLYTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOParallel-6.3.so.6.3 -> libvtkIOParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 526K Dec 17 2017 libvtkIOParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3 -> libvtkIOParallelExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3 -> libvtkIOParallelExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3 -> libvtkIOParallelExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3 -> libvtkIOParallelLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3 -> libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3 -> libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3 -> libvtkIOParallelNetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 113K Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3 -> libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3 -> libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3 -> libvtkIOParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 221K Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3 -> libvtkIOParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3 -> libvtkIOParallelXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 204K Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3 -> libvtkIOParallelXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3 -> libvtkIOParallelXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3 -> libvtkIOPostgreSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 160K Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3 -> libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3 -> libvtkIOPostgreSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOSQL-6.3.so.6.3 -> libvtkIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 277K Dec 17 2017 libvtkIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3 -> libvtkIOSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 202K Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3 -> libvtkIOSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOVPIC-6.3.so.6.3 -> libvtkIOVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3 -> libvtkIOVPICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3 -> libvtkIOVPICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOVideo-6.3.so.6.3 -> libvtkIOVideo-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOVideo-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3 -> libvtkIOVideoPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3 -> libvtkIOVideoTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOXML-6.3.so.6.3 -> libvtkIOXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkIOXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3 -> libvtkIOXMLParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3 -> libvtkIOXMLParserPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3 -> libvtkIOXMLParserTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 51K Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3 -> libvtkIOXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 375K Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3 -> libvtkIOXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 304K Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3 -> libvtkIOXdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 335K Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3 -> libvtkIOXdmf2Python27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 93K Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3 -> libvtkIOXdmfIITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkImagingColor-6.3.so.6.3 -> libvtkImagingColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkImagingColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3 -> libvtkImagingColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3 -> libvtkImagingColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingCore-6.3.so.6.3 -> libvtkImagingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkImagingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3 -> libvtkImagingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 934K Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3 -> libvtkImagingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 625K Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingFourier-6.3.so.6.3 -> libvtkImagingFourier-6.3.so.6.3.0 -rw-r--r-- 1 root root 187K Dec 17 2017 libvtkImagingFourier-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3 -> libvtkImagingFourierPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3 -> libvtkImagingFourierTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3 -> libvtkImagingGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3 -> libvtkImagingGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 378K Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3 -> libvtkImagingGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 348K Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3 -> libvtkImagingHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 505K Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3 -> libvtkImagingHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 539K Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3 -> libvtkImagingHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 315K Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingMath-6.3.so.6.3 -> libvtkImagingMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkImagingMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3 -> libvtkImagingMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3 -> libvtkImagingMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3 -> libvtkImagingMorphological-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3 -> libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3 -> libvtkImagingMorphologicalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingSources-6.3.so.6.3 -> libvtkImagingSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 331K Dec 17 2017 libvtkImagingSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3 -> libvtkImagingSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 253K Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3 -> libvtkImagingSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3 -> libvtkImagingStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3 -> libvtkImagingStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 138K Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3 -> libvtkImagingStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingStencil-6.3.so.6.3 -> libvtkImagingStencil-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkImagingStencil-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3 -> libvtkImagingStencilPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 147K Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3 -> libvtkImagingStencilTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 -rw-r--r-- 1 root root 477K Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkInfovisCore-6.3.so.6.3 -> libvtkInfovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1008K Dec 17 2017 libvtkInfovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3 -> libvtkInfovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 752K Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3 -> libvtkInfovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3 -> libvtkInfovisLayout-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3 -> libvtkInfovisLayoutPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 897K Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3 -> libvtkInfovisLayoutTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 600K Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInteractionImage-6.3.so.6.3 -> libvtkInteractionImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkInteractionImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkInteractionImagePython27D-6.3.so.6.3 -> libvtkInteractionImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 144K Dec 17 2017 libvtkInteractionImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkInteractionImageTCL-6.3.so.6.3 -> libvtkInteractionImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkInteractionImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInteractionStyle-6.3.so.6.3 -> libvtkInteractionStyle-6.3.so.6.3.0 -rw-r--r-- 1 root root 537K Dec 17 2017 libvtkInteractionStyle-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkInteractionStylePython27D-6.3.so.6.3 -> libvtkInteractionStylePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 349K Dec 17 2017 libvtkInteractionStylePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkInteractionStyleTCL-6.3.so.6.3 -> libvtkInteractionStyleTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 219K Dec 17 2017 libvtkInteractionStyleTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkInteractionWidgets-6.3.so.6.3 -> libvtkInteractionWidgets-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkInteractionWidgets-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3 -> libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3 -> libvtkInteractionWidgetsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.1M Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkLocalExample-6.3.so.6.3 -> libvtkLocalExample-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExample-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3 -> libvtkLocalExampleTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkParallelCore-6.3.so.6.3 -> libvtkParallelCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 305K Dec 17 2017 libvtkParallelCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3 -> libvtkParallelCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 376K Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3 -> libvtkParallelCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkParallelMPI-6.3.so.6.3 -> libvtkParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 149K Dec 17 2017 libvtkParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3 -> libvtkParallelMPI4Py-6.3.so.6.3.0 -rw-r--r-- 1 root root 68K Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3 -> libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3 -> libvtkParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3 -> libvtkParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3 -> libvtkPythonInterpreter-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3 -> libvtkPythonInterpreterPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3 -> libvtkPythonInterpreterTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3 -> libvtkRenderingAnnotation-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.3M Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3 -> libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3 -> libvtkRenderingAnnotationTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3 -> libvtkRenderingContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 252K Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3 -> libvtkRenderingContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3 -> libvtkRenderingContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3 -> libvtkRenderingContextOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 196K Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3 -> libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkRenderingCore-6.3.so.6.3 -> libvtkRenderingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.5M Dec 17 2017 libvtkRenderingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3 -> libvtkRenderingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3 -> libvtkRenderingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3 -> libvtkRenderingExternal-6.3.so.6.3.0 -rw-r--r-- 1 root root 236K Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3 -> libvtkRenderingExternalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3 -> libvtkRenderingExternalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3 -> libvtkRenderingFreeType-6.3.so.6.3.0 -rw-r--r-- 1 root root 781K Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3 -> libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3 -> libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3 -> libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3 -> libvtkRenderingGL2PS-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3 -> libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3 -> libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingImage-6.3.so.6.3 -> libvtkRenderingImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkRenderingImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3 -> libvtkRenderingImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3 -> libvtkRenderingImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3 -> libvtkRenderingLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 647K Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3 -> libvtkRenderingLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 164K Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3 -> libvtkRenderingLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3 -> libvtkRenderingLOD-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3 -> libvtkRenderingLODPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3 -> libvtkRenderingLODTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3 -> libvtkRenderingLabel-6.3.so.6.3.0 -rw-r--r-- 1 root root 689K Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3 -> libvtkRenderingLabelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 434K Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3 -> libvtkRenderingLabelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 239K Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3 -> libvtkRenderingMatplotlib-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3 -> libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3 -> libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3 -> libvtkRenderingOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.7M Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 983K Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3 -> libvtkRenderingOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 711K Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3 -> libvtkRenderingParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3 -> libvtkRenderingParallelLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3 -> libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3 -> libvtkRenderingParallelLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3 -> libvtkRenderingParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 284K Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3 -> libvtkRenderingParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 179K Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3 -> libvtkRenderingTkTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 104K Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3 -> libvtkRenderingVolume-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3 -> libvtkRenderingVolumeAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3 -> libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3 -> libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3 -> libvtkRenderingVolumePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3 -> libvtkRenderingVolumeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 620K Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3 -> libvtkTestingGenericBridge-6.3.so.6.3.0 -rw-r--r-- 1 root root 132K Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3 -> libvtkTestingIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkTestingRendering-6.3.so.6.3 -> libvtkTestingRendering-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkTestingRendering-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3 -> libvtkTestingRenderingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3 -> libvtkTestingRenderingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkVPIC-6.3.so.6.3 -> libvtkVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3 -> libvtkViewsContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3 -> libvtkViewsContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3 -> libvtkViewsContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkViewsCore-6.3.so.6.3 -> libvtkViewsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 172K Dec 17 2017 libvtkViewsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3 -> libvtkViewsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3 -> libvtkViewsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 119K Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3 -> libvtkViewsGeovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3 -> libvtkViewsGeovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3 -> libvtkViewsGeovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3 -> libvtkViewsInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3 -> libvtkViewsInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 927K Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3 -> libvtkViewsInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 565K Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkWrappingJava-6.3.so.6.3 -> libvtkWrappingJava-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkWrappingJava-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3 -> libvtkWrappingPython27Core-6.3.so.6.3.0 -rw-r--r-- 1 root root 180K Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkalglib-6.3.so.6.3 -> libvtkalglib-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkalglib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkexoIIc-6.3.so.6.3 -> libvtkexoIIc-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkexoIIc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkftgl-6.3.so.6.3 -> libvtkftgl-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkftgl-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkmetaio-6.3.so.6.3 -> libvtkmetaio-6.3.so.6.3.0 -rw-r--r-- 1 root root 591K Dec 17 2017 libvtkmetaio-6.3.so.6.3.0 lrwxrwxrwx 1 root root 22 Dec 17 2017 libvtksys-6.3.so.6.3 -> libvtksys-6.3.so.6.3.0 -rw-r--r-- 1 root root 278K Dec 17 2017 libvtksys-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkverdict-6.3.so.6.3 -> libvtkverdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 195K Dec 17 2017 libvtkverdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkxdmf2-6.3.so.6.3 -> libvtkxdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 472K Dec 17 2017 libvtkxdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 19 Jan 5 2021 libwavpack.so.1 -> libwavpack.so.1.2.0 -rw-r--r-- 1 root root 167K Jan 5 2021 libwavpack.so.1.2.0 lrwxrwxrwx 1 root root 26 Sep 14 13:57 libwayland-client.so.0 -> libwayland-client.so.0.3.0 -rw-r--r-- 1 root root 60K Sep 14 13:57 libwayland-client.so.0.3.0 lrwxrwxrwx 1 root root 26 Sep 14 13:57 libwayland-cursor.so.0 -> libwayland-cursor.so.0.0.0 -rw-r--r-- 1 root root 31K Sep 14 13:57 libwayland-cursor.so.0.0.0 lrwxrwxrwx 1 root root 23 Sep 14 13:57 libwayland-egl.so.1 -> libwayland-egl.so.1.0.0 -rw-r--r-- 1 root root 5.9K Sep 14 13:57 libwayland-egl.so.1.0.0 lrwxrwxrwx 1 root root 16 May 20 2021 libwebp.so.6 -> libwebp.so.6.0.2 -rw-r--r-- 1 root root 411K May 20 2021 libwebp.so.6.0.2 lrwxrwxrwx 1 root root 19 May 20 2021 libwebpmux.so.3 -> libwebpmux.so.3.0.1 -rw-r--r-- 1 root root 39K May 20 2021 libwebpmux.so.3.0.1 lrwxrwxrwx 1 root root 16 Dec 7 18:09 libwind.so.0 -> libwind.so.0.0.0 -rw-r--r-- 1 root root 162K Dec 7 18:09 libwind.so.0.0.0 -rw-r--r-- 1 root root 1.2M Jan 19 2018 libx264.so.152 -rw-r--r-- 1 root root 11M Dec 31 2017 libx265.so.146 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri2.so.0 -> libxcb-dri2.so.0.0.0 -rw-r--r-- 1 root root 19K Jun 21 2018 libxcb-dri2.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri3.so.0 -> libxcb-dri3.so.0.0.0 -rw-r--r-- 1 root root 15K Jun 21 2018 libxcb-dri3.so.0.0.0 lrwxrwxrwx 1 root root 19 Jun 21 2018 libxcb-glx.so.0 -> libxcb-glx.so.0.0.0 -rw-r--r-- 1 root root 107K Jun 21 2018 libxcb-glx.so.0.0.0 lrwxrwxrwx 1 root root 23 Jun 21 2018 libxcb-present.so.0 -> libxcb-present.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 21 2018 libxcb-present.so.0.0.0 lrwxrwxrwx 1 root root 22 Jun 21 2018 libxcb-render.so.0 -> libxcb-render.so.0.0.0 -rw-r--r-- 1 root root 51K Jun 21 2018 libxcb-render.so.0.0.0 lrwxrwxrwx 1 root root 19 Jun 21 2018 libxcb-shm.so.0 -> libxcb-shm.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 21 2018 libxcb-shm.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-sync.so.1 -> libxcb-sync.so.1.0.0 -rw-r--r-- 1 root root 27K Jun 21 2018 libxcb-sync.so.1.0.0 lrwxrwxrwx 1 root root 15 Jun 21 2018 libxcb.so.1 -> libxcb.so.1.1.0 -rw-r--r-- 1 root root 159K Jun 21 2018 libxcb.so.1.1.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libxdot.so -> libxdot.so.4.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libxdot.so.4 -> libxdot.so.4.0.0 -rw-r--r-- 1 root root 23K Mar 24 2018 libxdot.so.4.0.0 -rw-r--r-- 1 root root 3.5M Nov 10 2017 libxerces-c-3.2.so lrwxrwxrwx 1 root root 21 Mar 5 2019 libxkbcommon.so.0 -> libxkbcommon.so.0.0.0 -rw-r--r-- 1 root root 251K Mar 5 2019 libxkbcommon.so.0.0.0 -rw-r--r-- 1 root root 2.9M Dec 1 12:38 libxml2.a lrwxrwxrwx 1 root root 16 Dec 1 12:38 libxml2.so -> libxml2.so.2.9.4 lrwxrwxrwx 1 root root 16 Dec 1 12:38 libxml2.so.2 -> libxml2.so.2.9.4 -rw-r--r-- 1 root root 1.8M Dec 1 12:38 libxml2.so.2.9.4 lrwxrwxrwx 1 root root 21 Mar 18 2018 libxshmfence.so.1 -> libxshmfence.so.1.0.0 -rw-r--r-- 1 root root 6.1K Mar 18 2018 libxshmfence.so.1.0.0 lrwxrwxrwx 1 root root 18 Jan 28 2018 libxvidcore.so.4 -> libxvidcore.so.4.3 -rw-r--r-- 1 root root 672K Jan 28 2018 libxvidcore.so.4.3 -rw-r--r-- 1 root root 162K Aug 16 22:08 libz.a lrwxrwxrwx 1 root root 36 Aug 16 22:08 libz.so -> /lib/x86_64-linux-gnu/libz.so.1.2.11 lrwxrwxrwx 1 root root 16 Mar 3 2021 libzstd.so.1 -> libzstd.so.1.3.3 -rw-r--r-- 1 root root 490K Mar 3 2021 libzstd.so.1.3.3 lrwxrwxrwx 1 root root 23 Nov 17 2016 libzvbi-chains.so.0 -> libzvbi-chains.so.0.0.0 -rw-r--r-- 1 root root 58K Nov 17 2016 libzvbi-chains.so.0.0.0 lrwxrwxrwx 1 root root 17 Nov 17 2016 libzvbi.so.0 -> libzvbi.so.0.13.2 -rw-r--r-- 1 root root 556K Nov 17 2016 libzvbi.so.0.13.2 drwxr-xr-x 2 root root 4.0K Dec 16 02:17 nss drwxr-xr-x 2 root root 4.0K Dec 16 02:17 odbc drwxr-xr-x 2 root root 4.0K Dec 16 02:18 openblas drwxr-xr-x 3 root root 4.0K Dec 16 02:18 openmpi drwxr-xr-x 3 root root 4.0K Dec 16 02:17 openssl-1.0.0 drwxr-xr-x 1 root root 4.0K Dec 16 02:17 perl drwxr-xr-x 16 root root 4.0K Nov 30 02:04 perl-base drwxr-xr-x 2 root root 4.0K Dec 16 02:18 pkgconfig -rw-r--r-- 1 root root 1.8K May 3 2022 rcrt1.o drwxr-xr-x 2 root root 4.0K Dec 16 02:17 rsocket drwxr-xr-x 2 root root 4.0K Dec 16 02:17 sasl2 drwxr-xr-x 2 root root 4.0K Dec 16 02:17 vdpau drwxr-xr-x 2 root root 4.0K Dec 16 02:17 x264-10bit -rw-r--r-- 1 root root 204 Dec 1 12:38 xml2Conf.sh [Pipeline] echo Packing build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so, build/dgl_sparse/*.so into dgl-cpu-linux [Pipeline] stash Stashed 5 file(s) Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=float]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, DType=float]" (404): here /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=float]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, DType=float]" (407): here /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=double]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, DType=double]" (410): here /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=double]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, DType=double]" (413): here [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 f0b3dad7d04c706fd76c6dacd73ebf78ef67305909773db604b953fd3207f350 $ docker rm -f f0b3dad7d04c706fd76c6dacd73ebf78ef67305909773db604b953fd3207f350 /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=float]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, DType=float]" (404): here /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=float]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, DType=float]" (407): here /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=double]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, DType=double]" (410): here /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=double]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, DType=double]" (413): here [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=float]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, DType=float]" (404): here /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=float]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, DType=float]" (407): here /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=double]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, DType=double]" (410): here /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=double]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, DType=double]" (413): here /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=float]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, DType=float]" (404): here /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=float]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, DType=float]" (407): here /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int32_t, DType=double]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int32_t, DType=double]" (410): here /root/jenkins/workspace/dgl_PR-4483@6/src/array/cuda/gather_mm.cu(171): warning: variable "out_reg" was declared but never referenced detected during: instantiation of "void dgl::aten::cuda::GatherMMScatterKernel2(const DType *, const DType *, DType *, const Idx *, const Idx *, const Idx *, int64_t, int64_t, int64_t) [with Idx=int64_t, DType=double]" (355): here instantiation of "void dgl::aten::GatherMMScatter(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray) [with XPU=2, IdType=int64_t, DType=double]" (413): here nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Archiving objects > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/obj/collectives/device/colldevice.a Linking libnccl.so.2.11.4 > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/lib/libnccl.so.2.11.4 Archiving libnccl_static.a > /root/jenkins/workspace/dgl_PR-4483@7/build/nccl/lib/libnccl_static.a /root/jenkins/workspace/dgl_PR-4483@7/third_party/nccl/src [ 48%] No install step for 'nccl_external' [ 49%] Completed 'nccl_external' [ 49%] Built target nccl_external [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_nccl_api.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_nonzero.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_scatter.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_cumsum.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_index_select.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo2csr.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_op_impl.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr2coo.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sum.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_sort.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo_sort.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_get_data.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_mm.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_negative_sampling.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_disjoint_union.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_gather_mm.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_labor_sampling.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sort.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_cuda_filter.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling_prob.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_coo.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_csr.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_coo.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_csr.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_segment_reduce.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm_hetero.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/uvm/dgl_generated_array_index_select_uvm.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_frequency_hashmap.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_utils.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_edge_coarsening_impl.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_geometry_op_impl.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_get_node_types_gpu.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_to_block.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_cuda_hashtable.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/partition/cuda/dgl_generated_partition_op.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_knn.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_compact_graph.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_randomwalk_gpu.cu.o nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). /root/jenkins/workspace/dgl_PR-4483@7/src/graph/transform/cuda/cuda_to_block.cu(112): warning #177-D: variable "num_ntypes" was declared but never referenced detected during instantiation of "std::tuple>> dgl::transform::::ToBlockGPU(dgl::HeteroGraphPtr, const std::vector> &, __nv_bool, std::vector> *) [with IdType=int32_t]" (355): here /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/graph/sampling/randomwalks/frequency_hashmap.cu(106): warning #177-D: parameter "dst_data" was declared but never referenced detected during instantiation of "std::tuple dgl::sampling::impl::FrequencyHashmap::Topk(const IdxType *, const IdxType *, DGLDataType, int64_t, int64_t, int64_t) [with IdxType=int64_t]" (463): here /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/rowwise_sampling_prob.cu(405): warning #177-D: variable "eid" was declared but never referenced detected during: instantiation of "dgl::aten::COOMatrix dgl::aten::impl::::_COORemoveIf(const dgl::aten::COOMatrix &, const dgl::runtime::NDArray &, DType) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (672): here instantiation of "dgl::aten::COOMatrix dgl::aten::impl::CSRRowWiseSampling(dgl::aten::CSRMatrix, dgl::IdArray, int64_t, dgl::FloatArray, __nv_bool) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (675): here /root/jenkins/workspace/dgl_PR-4483@7/src/graph/transform/cuda/cuda_to_block.cu(112): warning #177-D: variable "num_ntypes" was declared but never referenced detected during instantiation of "std::tuple>> dgl::transform::::ToBlockGPU(dgl::HeteroGraphPtr, const std::vector> &, __nv_bool, std::vector> *) [with IdType=int32_t]" (355): here /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/graph/transform/cuda/cuda_to_block.cu(112): warning #177-D: variable "num_ntypes" was declared but never referenced detected during instantiation of "std::tuple>> dgl::transform::::ToBlockGPU(dgl::HeteroGraphPtr, const std::vector> &, __nv_bool, std::vector> *) [with IdType=int32_t]" (355): here /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/graph/transform/cuda/cuda_to_block.cu(112): warning #177-D: variable "num_ntypes" was declared but never referenced detected during instantiation of "std::tuple>> dgl::transform::::ToBlockGPU(dgl::HeteroGraphPtr, const std::vector> &, __nv_bool, std::vector> *) [with IdType=int32_t]" (355): here /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/graph/transform/cuda/cuda_to_block.cu(112): warning #177-D: variable "num_ntypes" was declared but never referenced detected during instantiation of "std::tuple>> dgl::transform::::ToBlockGPU(dgl::HeteroGraphPtr, const std::vector> &, __nv_bool, std::vector> *) [with IdType=int32_t]" (355): here /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/graph/sampling/randomwalks/frequency_hashmap.cu(106): warning #177-D: parameter "dst_data" was declared but never referenced detected during instantiation of "std::tuple dgl::sampling::impl::FrequencyHashmap::Topk(const IdxType *, const IdxType *, DGLDataType, int64_t, int64_t, int64_t) [with IdxType=int64_t]" (463): here /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/graph/sampling/randomwalks/frequency_hashmap.cu(106): warning #177-D: parameter "dst_data" was declared but never referenced detected during instantiation of "std::tuple dgl::sampling::impl::FrequencyHashmap::Topk(const IdxType *, const IdxType *, DGLDataType, int64_t, int64_t, int64_t) [with IdxType=int64_t]" (463): here /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/graph/sampling/randomwalks/frequency_hashmap.cu(106): warning #177-D: parameter "dst_data" was declared but never referenced detected during instantiation of "std::tuple dgl::sampling::impl::FrequencyHashmap::Topk(const IdxType *, const IdxType *, DGLDataType, int64_t, int64_t, int64_t) [with IdxType=int64_t]" (463): here /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/graph/sampling/randomwalks/frequency_hashmap.cu(106): warning #177-D: parameter "dst_data" was declared but never referenced detected during instantiation of "std::tuple dgl::sampling::impl::FrequencyHashmap::Topk(const IdxType *, const IdxType *, DGLDataType, int64_t, int64_t, int64_t) [with IdxType=int64_t]" (463): here /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/rowwise_sampling_prob.cu(405): warning #177-D: variable "eid" was declared but never referenced detected during: instantiation of "dgl::aten::COOMatrix dgl::aten::impl::::_COORemoveIf(const dgl::aten::COOMatrix &, const dgl::runtime::NDArray &, DType) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (672): here instantiation of "dgl::aten::COOMatrix dgl::aten::impl::CSRRowWiseSampling(dgl::aten::CSRMatrix, dgl::IdArray, int64_t, dgl::FloatArray, __nv_bool) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (675): here /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/rowwise_sampling_prob.cu(405): warning #177-D: variable "eid" was declared but never referenced detected during: instantiation of "dgl::aten::COOMatrix dgl::aten::impl::::_COORemoveIf(const dgl::aten::COOMatrix &, const dgl::runtime::NDArray &, DType) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (672): here instantiation of "dgl::aten::COOMatrix dgl::aten::impl::CSRRowWiseSampling(dgl::aten::CSRMatrix, dgl::IdArray, int64_t, dgl::FloatArray, __nv_bool) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (675): here /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced Scanning dependencies of target dgl [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/array.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/array_arith.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_cumsum.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_index_select.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_nonzero.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_op_impl.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_repeat.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_pack.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_scatter.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_linegraph.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_sort.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_remove.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_mm.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_coalesce.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_get_data.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_sort.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sort.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_remove.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_to_simple.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_union.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sum.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_sampling.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/gather_mm.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/disjoint_union.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/labor_sampling.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/negative_sampling.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_topk.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_coo.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/segment_reduce.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_csr.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/sddmm.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/uvm_array.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/filter.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmm.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/geometry/cpu/geometry_op_impl.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/traversal.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/bcast.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/array/union_partition.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/array/libra_partition.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/array/kernel.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/geometry/geometry.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/c_api_common.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/random/cpu/choice.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/random/random.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/runtime/config.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_runtime_api.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/partition/ndarray_partition.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/file_util.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_object_api.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cpu_device_api.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dlpack_convert.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dso_module.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module_util.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/object.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/registry.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/resource_manager.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/runtime/semaphore_wrapper.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/ndarray.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/shared_mem.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/runtime/thread_pool.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/runtime/tensordispatch.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/runtime/threading_backend.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/runtime/system_lib_module.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/graph/gk_ops.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_apis.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/runtime/utils.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/runtime/workspace_pool.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_op.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/api/api_container.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/creators.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/api/api_test.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph_capi.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_traversal.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/metis_partition.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/immutable_graph.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/nodeflow.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/get_node_types_cpu.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/pickle.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampler.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/negative/global_uniform.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/network.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/neighbor/neighbor.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec_cpu.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalks.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_with_restart_cpu.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_cpu.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/graph_serialize.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/tensor_serialize.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/dglgraph_serialize.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/zerocopy_serializer.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/heterograph_serialize.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/compact.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/shared_mem_manager.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/subgraph.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/knn.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/cpu/knn.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/line_graph.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/metis_partition_hetero.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_simple.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/union_partition.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler_apis.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/traversal.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cuda/cuda_device_api.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_communicator.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/array/cuda/csr_transpose.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.cc.o [ 93%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_pool.cc.o [ 93%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o [ 93%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.cc.o [ 93%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o In file included from /root/jenkins/workspace/dgl_PR-4483@6/src/geometry/../c_api_common.h:12:0, from /root/jenkins/workspace/dgl_PR-4483@6/src/geometry/geometry.cc:11: /root/jenkins/workspace/dgl_PR-4483@6/include/dgl/runtime/packed_func.h:482:21: warning: inline function 'TObjectRef dgl::runtime::DGLArgValue::AsObjectRef() const [with TObjectRef = dgl::HeteroGraphRef]' used but never defined inline TObjectRef AsObjectRef() const; ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4483@6/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4483@6/src/partition/ndarray_partition.cc:191:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ In file included from /usr/include/c++/7/cassert:44:0, from /root/jenkins/workspace/dgl_PR-4483@6/third_party/pcg/include/pcg_extras.hpp:40, from /root/jenkins/workspace/dgl_PR-4483@6/third_party/pcg/include/pcg_random.hpp:114, from /root/jenkins/workspace/dgl_PR-4483@6/include/dgl/random.h:18, from /root/jenkins/workspace/dgl_PR-4483@6/src/graph/sampler.cc:9: /root/jenkins/workspace/dgl_PR-4483@6/src/graph/sampler.cc: In member function 'dgl::NegSubgraph dgl::{anonymous}::EdgeSamplerObject::genNegEdgeSubgraph(const dgl::Subgraph&, const string&, int64_t, bool, bool)': /root/jenkins/workspace/dgl_PR-4483@6/src/graph/sampler.cc:1172:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4483@6/src/graph/sampler.cc:1176:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4483@6/src/array/libra_partition.cc: In function 'dgl::runtime::List dgl::aten::Libra2dglBuildDict(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, int32_t, int32_t, int64_t, const string&)': /root/jenkins/workspace/dgl_PR-4483@6/src/array/libra_partition.cc:389:11: warning: ignoring return value of 'int fscanf(FILE*, const char*, ...)', declared with attribute warn_unused_result [-Wunused-result] fscanf( ~~~~~~^ fp, "%ld,%ld,%f\n", &u, &v, ~~~~~~~~~~~~~~~~~~~~~~~~~~~ &w); // reading an edge - the src and dst global node IDs ~~~ /root/jenkins/workspace/dgl_PR-4483@6/src/array/libra_partition.cc: In function 'int32_t dgl::aten::Ver2partition(IdType, int64_t*, int32_t) [with IdType = long int]': /root/jenkins/workspace/dgl_PR-4483@6/src/array/libra_partition.cc:44:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/rowwise_sampling_prob.cu(405): warning #177-D: variable "eid" was declared but never referenced detected during: instantiation of "dgl::aten::COOMatrix dgl::aten::impl::::_COORemoveIf(const dgl::aten::COOMatrix &, const dgl::runtime::NDArray &, DType) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (672): here instantiation of "dgl::aten::COOMatrix dgl::aten::impl::CSRRowWiseSampling(dgl::aten::CSRMatrix, dgl::IdArray, int64_t, dgl::FloatArray, __nv_bool) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (675): here [ 93%] Linking CXX shared library libdgl.so [ 93%] Built target dgl Scanning dependencies of target dgl_sparse Scanning dependencies of target rpc_server Scanning dependencies of target rpc_client -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda -DTORCH_CUDA_ARCH_LIST= -DUSE_CUDA=ON -DDGL_INCLUDE_DIRS=/usr/local/cuda/include;/root/jenkins/workspace/dgl_PR-4483@6/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/phmap/;/root/jenkins/workspace/dgl_PR-4483@6/third_party/xbyak/;/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS/include/;/root/jenkins/workspace/dgl_PR-4483@6/tensoradapter/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/nanoflann/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/pcg/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS/GKlib;/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe;/root/jenkins/workspace/dgl_PR-4483@6/third_party/googletest/googletest/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/googletest/googletest;/root/jenkins/workspace/dgl_PR-4483@6/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/xbyak;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/phmap;/root/jenkins/workspace/dgl_PR-4483@6/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/pcg/include -DDGL_BUILD_DIR=/root/jenkins/workspace/dgl_PR-4483@6/build [ 93%] Building CXX object CMakeFiles/rpc_server.dir/tests/dist/cpp/rpc_server.cc.o [ 93%] Building CXX object CMakeFiles/rpc_client.dir/tests/dist/cpp/rpc_client.cc.o Scanning dependencies of target runUnitTests [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/message_queue_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/graph_index_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/socket_communicator_test.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_partition.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/string_test.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_aten.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_csrmm.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_rowwise.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_sampler.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_coo.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_serialize.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_csr.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_smart_ptr_serialize.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_unit_graph.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmm.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_zerocopy_serialize.cc.o -- The C compiler identification is GNU 7.5.0 -- The CXX compiler identification is GNU 7.5.0 -- Check for working C compiler: /usr/bin/cc -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ /root/jenkins/workspace/dgl_PR-4483@6/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4483@6/tests/dist/cpp/rpc_client.cc:50:15: warning: unused variable 'num_machines' [-Wunused-variable] const int num_machines = ips_.size(); ^~~~~~~~~~~~ -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Using Python interpreter: /opt/conda/envs/pytorch-ci/bin/python /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc:84:44: required from here /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc:64:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc:73:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = long int]': /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc:85:44: required from here /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc:64:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc:73:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc:192:40: required from here /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc:170:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc:181:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = long int]': /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc:193:40: required from here /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc:170:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4483@6/tests/cpp/test_partition.cc:181:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { [ 98%] Linking CXX executable rpc_server [100%] Linking CXX executable rpc_client [100%] Built target rpc_client [100%] Built target rpc_server -- find_cmake.py output: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake;1.12.0 -- Configuring for PyTorch 1.12.0 -- Setting directory to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Found CUDA: /usr/local/cuda (found version "10.2") -- The CUDA compiler identification is NVIDIA 10.2.89 -- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc -- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc -- works -- Detecting CUDA compiler ABI info -- Detecting CUDA compiler ABI info - done -- Caffe2: CUDA detected: 10.2 -- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc -- Caffe2: CUDA toolkit directory: /usr/local/cuda -- Caffe2: Header version is: 10.2 -- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so -- Found cuDNN: v7.6.5 (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so) CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:214 (message): Failed to compute shorthash for libnvrtc.so Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:88 (include) /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) CMakeLists.txt:29 (find_package) -- Automatic GPU detection failed. Building for common architectures. -- Autodetected CUDA architecture(s): 3.5;5.0;5.2;6.0;6.1;7.0;7.5;7.5+PTX -- Added CUDA NVCC flags for: -gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_52,code=sm_52;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_75,code=compute_75 CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): static library kineto_LIBRARY-NOTFOUND not found. Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found) CMakeLists.txt:29 (find_package) -- Found Torch: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/lib/libtorch.so -- DGL include directories: /usr/local/cuda/include;/root/jenkins/workspace/dgl_PR-4483@6/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/phmap/;/root/jenkins/workspace/dgl_PR-4483@6/third_party/xbyak/;/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS/include/;/root/jenkins/workspace/dgl_PR-4483@6/tensoradapter/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/nanoflann/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/pcg/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS/GKlib;/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe;/root/jenkins/workspace/dgl_PR-4483@6/third_party/googletest/googletest/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/googletest/googletest;/root/jenkins/workspace/dgl_PR-4483@6/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dlpack/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/xbyak;/root/jenkins/workspace/dgl_PR-4483@6/third_party/dmlc-core/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/phmap;/root/jenkins/workspace/dgl_PR-4483@6/third_party/libxsmm/include;/root/jenkins/workspace/dgl_PR-4483@6/third_party/pcg/include -- Configuring done CMake Warning at CMakeLists.txt:42 (add_library): Cannot generate a safe runtime search path for target dgl_sparse_pytorch_1.12.0 because files in some directories may conflict with libraries in implicit directories: runtime library [libcublas.so.10] in /usr/lib/x86_64-linux-gnu may be hidden by files in: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/lib Some of these libraries may not be found correctly. -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4483@6/dgl_sparse/build Scanning dependencies of target dgl_sparse_pytorch_1.12.0 [ 8%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/elemenwise_op.cc.o [ 16%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/matmul.cc.o [ 25%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/python_binding.cc.o [ 33%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/reduction.cc.o [ 41%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/sddmm.cc.o [ 50%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/softmax.cc.o [ 58%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/sparse_format.cc.o [ 66%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/sparse_matrix.cc.o [ 75%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/sparse_matrix_coalesce.cc.o [ 83%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/spmm.cc.o [ 91%] Building CXX object CMakeFiles/dgl_sparse_pytorch_1.12.0.dir/src/spspmm.cc.o [100%] Linking CXX executable runUnitTests [100%] Built target runUnitTests /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced [100%] Linking CXX shared library libdgl_sparse_pytorch_1.12.0.so [100%] Built target dgl_sparse_pytorch_1.12.0 'libdgl_sparse_pytorch_1.12.0.so' -> '/root/jenkins/workspace/dgl_PR-4483@6/build/dgl_sparse/libdgl_sparse_pytorch_1.12.0.so' [100%] Built target dgl_sparse ~/jenkins/workspace/dgl_PR-4483@6 ~/jenkins/workspace/dgl_PR-4483@6/python ~/jenkins/workspace/dgl_PR-4483@6 WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-cpython-37 creating build/lib.linux-x86_64-cpython-37/dgl copying dgl/partition.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/core.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/base.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/global_config.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/network.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/logging.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/udf.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/init.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/view.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/generators.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/convert.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/container.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/merge.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/readout.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/batch.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/frame.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/_sparse_ops.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/random.py -> build/lib.linux-x86_64-cpython-37/dgl creating build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/unary_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/sp_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/unary_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/diag_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/reduction.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/matmul.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse creating build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry creating build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/function creating build/lib.linux-x86_64-cpython-37/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn creating build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/nodewise.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/fused.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/edgewise.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops creating build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-cpython-37/dgl/utils creating build/lib.linux-x86_64-cpython-37/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-cpython-37/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/multiprocessing creating build/lib.linux-x86_64-cpython-37/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim creating build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/labor_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading creating build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-cpython-37/dgl/backend creating build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops creating build/lib.linux-x86_64-cpython-37/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-cpython-37/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/cuda creating build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-cpython-37/dgl/storages creating build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/labor.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling creating build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-cpython-37/dgl/data creating build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed creating build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms creating build/lib.linux-x86_64-cpython-37/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn creating build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi creating build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/unary_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/diag_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/reduction.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/matmul.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/unary_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/sparse_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/graph_transformer.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/network_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/functional creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cugraph_relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition creating build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-cpython-37 creating build/temp.linux-x86_64-cpython-37/dgl creating build/temp.linux-x86_64-cpython-37/dgl/_ffi creating build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/unary_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/sp_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/unary_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/cugraph_relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/graph_transformer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/network_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-cpython-37/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional creating build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/nodewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/fused.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/edgewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/global_config.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/labor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-37/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-37/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/labor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-cpython-37/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/_sparse_ops.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/unary_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/unary_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/sparse_matrix.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/softmax.py -> build/bdist.linux-x86_64/egg/dgl/sparse byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_diag.py to unary_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sp_matrix.py to sp_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_sp.py to unary_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cugraph_relgraphconv.py to cugraph_relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/graph_transformer.py to graph_transformer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/network_emb.py to network_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/nodewise.py to nodewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/fused.py to fused.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/edgewise.py to edgewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/global_config.py to global_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/labor_sampler.py to labor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/labor.py to labor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_sparse_ops.py to _sparse_ops.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/unary_op_diag.py to unary_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/unary_op_sp.py to unary_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/sparse_matrix.py to sparse_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/softmax.py to softmax.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.12.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/dgl/dgl_sparse copying ../build/dgl_sparse/libdgl_sparse_pytorch_1.12.0.so -> build/bdist.linux-x86_64/egg/dgl/dgl_sparse creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.10-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/rowwise_sampling_prob.cu(405): warning #177-D: variable "eid" was declared but never referenced detected during: instantiation of "dgl::aten::COOMatrix dgl::aten::impl::::_COORemoveIf(const dgl::aten::COOMatrix &, const dgl::runtime::NDArray &, DType) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (672): here instantiation of "dgl::aten::COOMatrix dgl::aten::impl::CSRRowWiseSampling(dgl::aten::CSRMatrix, dgl::IdArray, int64_t, dgl::FloatArray, __nv_bool) [with XPU=kDGLCUDA, IdType=int32_t, DType=float]" (675): here removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.10-py3.7-linux-x86_64.egg creating /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Extracting dgl-0.10-py3.7-linux-x86_64.egg to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding dgl 0.10 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Processing dependencies for dgl==0.10 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/6e/c8/784968329c1c67c28cce91991ef9af8a8913aa5a3399a6a8954b1380572f/psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=54c0d3d8e0078b7666984e11b12b88af2db11d11249a8ac8920dd5ef68a66e08 Best match: psutil 5.9.4 Processing psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding psutil 5.9.4 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/psutil-5.9.4-py3.7-linux-x86_64.egg Searching for tqdm==4.64.1 Best match: tqdm 4.64.1 Adding tqdm 4.64.1 to easy-install.pth file Installing tqdm script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for scipy==1.7.3 Best match: scipy 1.7.3 Adding scipy 1.7.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for numpy==1.21.6 Best match: numpy 1.21.6 Adding numpy 1.21.6 to easy-install.pth file Installing f2py script to /opt/conda/envs/pytorch-ci/bin Installing f2py3 script to /opt/conda/envs/pytorch-ci/bin Installing f2py3.7 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for certifi==2022.9.24 Best match: certifi 2022.9.24 Adding certifi 2022.9.24 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for urllib3==1.26.13 Best match: urllib3 1.26.13 Adding urllib3 1.26.13 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for idna==3.4 Best match: idna 3.4 Adding idna 3.4 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.1 Best match: charset-normalizer 2.1.1 Adding charset-normalizer 2.1.1 to easy-install.pth file Installing normalizer script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/build_py.py:202: SetuptoolsDeprecationWarning: Installing 'dgl._ffi._cython' as data is deprecated, please list it in `packages`. !! ############################ # Package would be ignored # ############################ Python recognizes 'dgl._ffi._cython' as an importable package, but it is not listed in the `packages` configuration of setuptools. 'dgl._ffi._cython' has been automatically added to the distribution only because it may contain data files, but this behavior is likely to change in future versions of setuptools (and therefore is considered deprecated). Please make sure that 'dgl._ffi._cython' is included as a package by using the `packages` configuration field or the proper discovery methods (for example by using `find_namespace_packages(...)`/`find_namespace:` instead of `find_packages(...)`/`find:`). You can read more about "package discovery" and "data files" on setuptools documentation page. !! check.warn(importable) /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-cpython-37 creating build/lib.linux-x86_64-cpython-37/dgl copying dgl/partition.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/core.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/base.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/global_config.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/network.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/logging.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/udf.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/init.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/view.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/generators.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/convert.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/container.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/merge.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/readout.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/batch.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/frame.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/_sparse_ops.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/random.py -> build/lib.linux-x86_64-cpython-37/dgl creating build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/unary_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/sp_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/unary_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/diag_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/reduction.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/matmul.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse creating build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry creating build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/function creating build/lib.linux-x86_64-cpython-37/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn creating build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/nodewise.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/fused.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/edgewise.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops creating build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-cpython-37/dgl/utils creating build/lib.linux-x86_64-cpython-37/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-cpython-37/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/multiprocessing creating build/lib.linux-x86_64-cpython-37/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim creating build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/labor_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading creating build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-cpython-37/dgl/backend creating build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops creating build/lib.linux-x86_64-cpython-37/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-cpython-37/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/cuda creating build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-cpython-37/dgl/storages creating build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/labor.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling creating build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-cpython-37/dgl/data creating build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed creating build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms creating build/lib.linux-x86_64-cpython-37/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn creating build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi creating build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/unary_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/diag_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/reduction.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/matmul.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/unary_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/sparse_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/graph_transformer.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/network_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/functional creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cugraph_relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition creating build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-cpython-37 creating build/temp.linux-x86_64-cpython-37/dgl creating build/temp.linux-x86_64-cpython-37/dgl/_ffi creating build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/unary_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/sp_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/unary_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/cugraph_relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/graph_transformer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/network_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-cpython-37/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional creating build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/nodewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/fused.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/edgewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/global_config.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/labor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-37/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-37/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/labor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-cpython-37/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/_sparse_ops.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/unary_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/unary_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/sparse_matrix.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/softmax.py -> build/bdist.linux-x86_64/egg/dgl/sparse byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_diag.py to unary_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sp_matrix.py to sp_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_sp.py to unary_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cugraph_relgraphconv.py to cugraph_relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/graph_transformer.py to graph_transformer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/network_emb.py to network_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/nodewise.py to nodewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/fused.py to fused.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/edgewise.py to edgewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/global_config.py to global_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/labor_sampler.py to labor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/labor.py to labor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_sparse_ops.py to _sparse_ops.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/unary_op_diag.py to unary_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/unary_op_sp.py to unary_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/sparse_matrix.py to sparse_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/softmax.py to softmax.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.12.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/dgl/dgl_sparse copying ../build/dgl_sparse/libdgl_sparse_pytorch_1.12.0.so -> build/bdist.linux-x86_64/egg/dgl/dgl_sparse creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.10-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h(31): warning #177-D: variable "guard" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(60): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(61): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(62): warning #177-D: parameter "ldc" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "handle" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transa" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(72): warning #177-D: parameter "transb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "m" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "n" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "alpha" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "A" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(73): warning #177-D: parameter "lda" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "beta" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "B" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(74): warning #177-D: parameter "ldb" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "C" was declared but never referenced /root/jenkins/workspace/dgl_PR-4483@7/src/array/cuda/./spmm.cuh(75): warning #177-D: parameter "ldc" was declared but never referenced removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.10-py3.7-linux-x86_64.egg creating /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Extracting dgl-0.10-py3.7-linux-x86_64.egg to /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Adding dgl 0.10 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Processing dependencies for dgl==0.10 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/6e/c8/784968329c1c67c28cce91991ef9af8a8913aa5a3399a6a8954b1380572f/psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=54c0d3d8e0078b7666984e11b12b88af2db11d11249a8ac8920dd5ef68a66e08 Best match: psutil 5.9.4 Processing psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Adding psutil 5.9.4 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/psutil-5.9.4-py3.7-linux-x86_64.egg Searching for tqdm==4.64.1 Best match: tqdm 4.64.1 Adding tqdm 4.64.1 to easy-install.pth file Installing tqdm script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for scipy==1.7.3 Best match: scipy 1.7.3 Adding scipy 1.7.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for numpy==1.21.6 Best match: numpy 1.21.6 Adding numpy 1.21.6 to easy-install.pth file Installing f2py script to /opt/conda/envs/mxnet-ci/bin Installing f2py3 script to /opt/conda/envs/mxnet-ci/bin Installing f2py3.7 script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for certifi==2022.9.24 Best match: certifi 2022.9.24 Adding certifi 2022.9.24 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for urllib3==1.26.13 Best match: urllib3 1.26.13 Adding urllib3 1.26.13 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for idna==3.4 Best match: idna 3.4 Adding idna 3.4 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.1 Best match: charset-normalizer 2.1.1 Adding charset-normalizer 2.1.1 to easy-install.pth file Installing normalizer script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.10 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/command/build_py.py:202: SetuptoolsDeprecationWarning: Installing 'dgl._ffi._cython' as data is deprecated, please list it in `packages`. !! ############################ # Package would be ignored # ############################ Python recognizes 'dgl._ffi._cython' as an importable package, but it is not listed in the `packages` configuration of setuptools. 'dgl._ffi._cython' has been automatically added to the distribution only because it may contain data files, but this behavior is likely to change in future versions of setuptools (and therefore is considered deprecated). Please make sure that 'dgl._ffi._cython' is included as a package by using the `packages` configuration field or the proper discovery methods (for example by using `find_namespace_packages(...)`/`find_namespace:` instead of `find_packages(...)`/`find:`). You can read more about "package discovery" and "data files" on setuptools documentation page. !! check.warn(importable) /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-cpython-37 creating build/lib.linux-x86_64-cpython-37/dgl copying dgl/partition.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/core.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/base.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/global_config.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/network.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/logging.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/udf.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/init.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/view.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/generators.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/convert.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/container.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/merge.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/readout.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/batch.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/frame.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/_sparse_ops.py -> build/lib.linux-x86_64-cpython-37/dgl copying dgl/random.py -> build/lib.linux-x86_64-cpython-37/dgl creating build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/unary_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/sp_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/unary_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/diag_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/reduction.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/matmul.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/mock_sparse creating build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/geometry creating build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-cpython-37/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/function creating build/lib.linux-x86_64-cpython-37/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn creating build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/nodewise.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/fused.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/edgewise.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops copying dgl/mpops/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/mpops creating build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-cpython-37/dgl/utils creating build/lib.linux-x86_64-cpython-37/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-cpython-37/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/multiprocessing creating build/lib.linux-x86_64-cpython-37/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim creating build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/labor_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/dataloading creating build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-cpython-37/dgl/backend creating build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-cpython-37/dgl/ops creating build/lib.linux-x86_64-cpython-37/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-cpython-37/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/cuda creating build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-cpython-37/dgl/storages creating build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling copying dgl/sampling/labor.py -> build/lib.linux-x86_64-cpython-37/dgl/sampling creating build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-cpython-37/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-cpython-37/dgl/data creating build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed creating build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-cpython-37/dgl/transforms creating build/lib.linux-x86_64-cpython-37/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn creating build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi creating build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/unary_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/sddmm.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/diag_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/reduction.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/matmul.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/unary_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/sparse_matrix.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse copying dgl/sparse/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/sparse creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/graph_transformer.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/network_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/functional creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cugraph_relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition creating build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-cpython-37 creating build/temp.linux-x86_64-cpython-37/dgl creating build/temp.linux-x86_64-cpython-37/dgl/_ffi creating build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/unary_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/sp_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/unary_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-37/dgl/mock_sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-37/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-37/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/cugraph_relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/graph_transformer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/network_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-cpython-37/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional creating build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/nodewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/fused.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/edgewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/mpops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-37/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-37/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-37/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/global_config.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/labor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-37/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-37/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-37/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-37/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-37/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-37/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/sampling/labor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-37/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-37/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-37/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-37/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-37/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-37/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-cpython-37/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/_sparse_ops.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-37/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/unary_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/unary_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/sparse_matrix.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-37/dgl/sparse/softmax.py -> build/bdist.linux-x86_64/egg/dgl/sparse byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_diag.py to unary_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sp_matrix.py to sp_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_sp.py to unary_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cugraph_relgraphconv.py to cugraph_relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/graph_transformer.py to graph_transformer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/network_emb.py to network_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/nodewise.py to nodewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/fused.py to fused.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/edgewise.py to edgewise.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/global_config.py to global_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/labor_sampler.py to labor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/labor.py to labor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_sparse_ops.py to _sparse_ops.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/unary_op_diag.py to unary_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/diag_matrix.py to diag_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op.py to elementwise_op.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/reduction.py to reduction.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/matmul.py to matmul.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/unary_op_sp.py to unary_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/sparse_matrix.py to sparse_matrix.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/softmax.py to softmax.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.12.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/dgl/dgl_sparse copying ../build/dgl_sparse/libdgl_sparse_pytorch_1.12.0.so -> build/bdist.linux-x86_64/egg/dgl/dgl_sparse creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.10-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.10-py3.7-linux-x86_64.egg creating /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Extracting dgl-0.10-py3.7-linux-x86_64.egg to /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Adding dgl 0.10 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/dgl-0.10-py3.7-linux-x86_64.egg Processing dependencies for dgl==0.10 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Downloading https://files.pythonhosted.org/packages/6e/c8/784968329c1c67c28cce91991ef9af8a8913aa5a3399a6a8954b1380572f/psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=54c0d3d8e0078b7666984e11b12b88af2db11d11249a8ac8920dd5ef68a66e08 Best match: psutil 5.9.4 Processing psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Adding psutil 5.9.4 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/psutil-5.9.4-py3.7-linux-x86_64.egg Searching for tqdm==4.64.1 Best match: tqdm 4.64.1 Adding tqdm 4.64.1 to easy-install.pth file Installing tqdm script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for scipy==1.4.1 Best match: scipy 1.4.1 Adding scipy 1.4.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for numpy==1.18.5 Best match: numpy 1.18.5 Adding numpy 1.18.5 to easy-install.pth file Installing f2py script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3 script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3.7 script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for certifi==2022.9.24 Best match: certifi 2022.9.24 Adding certifi 2022.9.24 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for urllib3==1.26.13 Best match: urllib3 1.26.13 Adding urllib3 1.26.13 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for idna==3.4 Best match: idna 3.4 Adding idna 3.4 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.1 Best match: charset-normalizer 2.1.1 Adding charset-normalizer 2.1.1 to easy-install.pth file Installing normalizer script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.10 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/command/build_py.py:202: SetuptoolsDeprecationWarning: Installing 'dgl._ffi._cython' as data is deprecated, please list it in `packages`. !! ############################ # Package would be ignored # ############################ Python recognizes 'dgl._ffi._cython' as an importable package, but it is not listed in the `packages` configuration of setuptools. 'dgl._ffi._cython' has been automatically added to the distribution only because it may contain data files, but this behavior is likely to change in future versions of setuptools (and therefore is considered deprecated). Please make sure that 'dgl._ffi._cython' is included as a package by using the `packages` configuration field or the proper discovery methods (for example by using `find_namespace_packages(...)`/`find_namespace:` instead of `find_packages(...)`/`find:`). You can read more about "package discovery" and "data files" on setuptools documentation page. !! check.warn(importable) /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -std=c++11 cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so copying build/lib.linux-x86_64-cpython-37/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4483@6 [Pipeline] sh + ls -lh /usr/lib/x86_64-linux-gnu/ total 2.0G -rw-r--r-- 1 root root 496 Jan 24 2022 Mcrt1.o -rw-r--r-- 1 root root 1.8K Jan 24 2022 Scrt1.o drwxr-xr-x 2 root root 4.0K Mar 15 2022 audit drwxr-xr-x 2 root root 4.0K Dec 17 09:09 avahi drwxr-xr-x 2 root root 4.0K Mar 15 2022 coreutils -rw-r--r-- 1 root root 1.9K Jan 24 2022 crt1.o -rw-r--r-- 1 root root 1.2K Jan 24 2022 crti.o -rw-r--r-- 1 root root 648 Jan 24 2022 crtn.o drwxr-xr-x 2 root root 4.0K Dec 17 09:09 dri drwxr-xr-x 2 root root 4.0K Apr 3 2022 engines-1.1 drwxr-xr-x 2 root root 12K Mar 15 2022 gconv -rw-r--r-- 1 root root 2.5K Jan 24 2022 gcrt1.o drwxr-xr-x 2 root root 4.0K Dec 17 09:09 gdcm-2.8 drwxr-xr-x 3 root root 4.0K Dec 17 09:08 gdk-pixbuf-2.0 drwxr-xr-x 3 root root 4.0K Dec 17 09:08 gio drwxr-xr-x 2 root root 4.0K Dec 17 09:09 girepository-1.0 drwxr-xr-x 3 root root 4.0K Dec 17 09:09 glib-2.0 drwxr-xr-x 2 root root 4.0K Dec 17 09:09 graphviz -rw-r--r-- 1 root root 2.3K Jan 24 2022 grcrt1.o drwxr-xr-x 3 root root 4.0K Dec 17 09:09 gtk-2.0 drwxr-xr-x 3 root root 4.0K Dec 17 09:09 gtk-3.0 drwxr-xr-x 2 root root 4.0K Dec 17 09:09 hwloc drwxr-xr-x 3 root root 4.0K Dec 17 09:09 icu drwxr-xr-x 3 root root 4.0K Dec 17 09:08 krb5 drwxr-xr-x 2 root root 4.0K Apr 3 2022 ldscripts -rw-r--r-- 1 root root 2.0K Jan 24 2022 libBrokenLocale.a lrwxrwxrwx 1 root root 42 Jan 24 2022 libBrokenLocale.so -> /lib/x86_64-linux-gnu/libBrokenLocale.so.1 lrwxrwxrwx 1 root root 16 May 23 2016 libCharLS.so.1 -> libCharLS.so.1.0 -rw-r--r-- 1 root root 219K May 23 2016 libCharLS.so.1.0 lrwxrwxrwx 1 root root 14 May 10 2019 libGL.so.1 -> libGL.so.1.0.0 -rw-r--r-- 1 root root 555K May 10 2019 libGL.so.1.0.0 lrwxrwxrwx 1 root root 15 May 10 2019 libGLX.so.0 -> libGLX.so.0.0.0 -rw-r--r-- 1 root root 67K May 10 2019 libGLX.so.0.0.0 lrwxrwxrwx 1 root root 16 Jun 12 2020 libGLX_indirect.so.0 -> libGLX_mesa.so.0 lrwxrwxrwx 1 root root 20 Jun 12 2020 libGLX_mesa.so.0 -> libGLX_mesa.so.0.0.0 -rw-r--r-- 1 root root 477K Jun 12 2020 libGLX_mesa.so.0.0.0 lrwxrwxrwx 1 root root 22 May 10 2019 libGLdispatch.so.0 -> libGLdispatch.so.0.0.0 -rw-r--r-- 1 root root 599K May 10 2019 libGLdispatch.so.0.0.0 lrwxrwxrwx 1 root root 17 Apr 16 2016 libHalf.so -> libHalf.so.12.0.0 lrwxrwxrwx 1 root root 17 Apr 16 2016 libHalf.so.12 -> libHalf.so.12.0.0 -rw-r--r-- 1 root root 267K Apr 16 2016 libHalf.so.12.0.0 lrwxrwxrwx 1 root root 15 Nov 25 05:24 libICE.so.6 -> libICE.so.6.3.0 -rw-r--r-- 1 root root 96K Nov 25 05:24 libICE.so.6.3.0 lrwxrwxrwx 1 root root 20 Apr 16 2016 libIex-2_2.so.12 -> libIex-2_2.so.12.0.0 -rw-r--r-- 1 root root 119K Apr 16 2016 libIex-2_2.so.12.0.0 lrwxrwxrwx 1 root root 20 Apr 16 2016 libIex.so -> libIex-2_2.so.12.0.0 lrwxrwxrwx 1 root root 24 Apr 16 2016 libIexMath-2_2.so.12 -> libIexMath-2_2.so.12.0.0 -rw-r--r-- 1 root root 15K Apr 16 2016 libIexMath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 24 Apr 16 2016 libIexMath.so -> libIexMath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 23 Nov 16 2021 libIlmImf-2_2.so.22 -> libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 2.8M Nov 16 2021 libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 4.4M Nov 16 2021 libIlmImf.a lrwxrwxrwx 1 root root 23 Nov 16 2021 libIlmImf.so -> libIlmImf-2_2.so.22.0.0 lrwxrwxrwx 1 root root 27 Nov 16 2021 libIlmImfUtil-2_2.so.22 -> libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 140K Nov 16 2021 libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 319K Nov 16 2021 libIlmImfUtil.a lrwxrwxrwx 1 root root 27 Nov 16 2021 libIlmImfUtil.so -> libIlmImfUtil-2_2.so.22.0.0 lrwxrwxrwx 1 root root 26 Apr 16 2016 libIlmThread-2_2.so.12 -> libIlmThread-2_2.so.12.0.0 -rw-r--r-- 1 root root 27K Apr 16 2016 libIlmThread-2_2.so.12.0.0 lrwxrwxrwx 1 root root 26 Apr 16 2016 libIlmThread.so -> libIlmThread-2_2.so.12.0.0 lrwxrwxrwx 1 root root 22 Apr 16 2016 libImath-2_2.so.12 -> libImath-2_2.so.12.0.0 -rw-r--r-- 1 root root 71K Apr 16 2016 libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 22 Apr 16 2016 libImath.so -> libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 15 Jul 14 2020 libLLVM-10.so -> libLLVM-10.so.1 -rw-r--r-- 1 root root 71M Jul 14 2020 libLLVM-10.so.1 lrwxrwxrwx 1 root root 18 Apr 5 2017 libOpenCL.so.1 -> libOpenCL.so.1.0.0 -rw-r--r-- 1 root root 43K Apr 5 2017 libOpenCL.so.1.0.0 lrwxrwxrwx 1 root root 14 Jul 13 2014 libSM.so.6 -> libSM.so.6.0.1 -rw-r--r-- 1 root root 31K Jul 13 2014 libSM.so.6.0.1 lrwxrwxrwx 1 root root 19 May 19 2021 libX11-xcb.so.1 -> libX11-xcb.so.1.0.0 -rw-r--r-- 1 root root 5.7K May 19 2021 libX11-xcb.so.1.0.0 lrwxrwxrwx 1 root root 15 May 19 2021 libX11.so.6 -> libX11.so.6.3.0 -rw-r--r-- 1 root root 1.3M May 19 2021 libX11.so.6.3.0 lrwxrwxrwx 1 root root 15 Apr 21 2020 libXau.so.6 -> libXau.so.6.0.0 -rw-r--r-- 1 root root 15K Apr 21 2020 libXau.so.6.0.0 lrwxrwxrwx 1 root root 12 Aug 3 2015 libXaw.so.7 -> libXaw7.so.7 lrwxrwxrwx 1 root root 16 Aug 3 2015 libXaw7.so.7 -> libXaw7.so.7.0.0 -rw-r--r-- 1 root root 461K Aug 3 2015 libXaw7.so.7.0.0 lrwxrwxrwx 1 root root 22 Jan 20 2017 libXcomposite.so.1 -> libXcomposite.so.1.0.0 -rw-r--r-- 1 root root 11K Jan 20 2017 libXcomposite.so.1.0.0 lrwxrwxrwx 1 root root 19 Dec 19 2017 libXcursor.so.1 -> libXcursor.so.1.0.2 -rw-r--r-- 1 root root 39K Dec 19 2017 libXcursor.so.1.0.2 lrwxrwxrwx 1 root root 19 Aug 20 2017 libXdamage.so.1 -> libXdamage.so.1.1.0 -rw-r--r-- 1 root root 11K Aug 20 2017 libXdamage.so.1.1.0 lrwxrwxrwx 1 root root 17 Mar 2 2017 libXdmcp.so.6 -> libXdmcp.so.6.0.0 -rw-r--r-- 1 root root 23K Mar 2 2017 libXdmcp.so.6.0.0 lrwxrwxrwx 1 root root 16 Oct 25 2014 libXext.so.6 -> libXext.so.6.4.0 -rw-r--r-- 1 root root 72K Oct 25 2014 libXext.so.6.4.0 lrwxrwxrwx 1 root root 18 Dec 5 2016 libXfixes.so.3 -> libXfixes.so.3.1.0 -rw-r--r-- 1 root root 23K Dec 5 2016 libXfixes.so.3.1.0 lrwxrwxrwx 1 root root 15 Jul 13 2014 libXft.so.2 -> libXft.so.2.3.2 -rw-r--r-- 1 root root 84K Jul 13 2014 libXft.so.2.3.2 lrwxrwxrwx 1 root root 14 Jan 23 2017 libXi.so.6 -> libXi.so.6.1.0 -rw-r--r-- 1 root root 63K Jan 23 2017 libXi.so.6.1.0 lrwxrwxrwx 1 root root 20 Jun 30 2013 libXinerama.so.1 -> libXinerama.so.1.0.0 -rw-r--r-- 1 root root 11K Jun 30 2013 libXinerama.so.1.0.0 lrwxrwxrwx 1 root root 15 Dec 10 2015 libXmu.so.6 -> libXmu.so.6.2.0 -rw-r--r-- 1 root root 101K Dec 10 2015 libXmu.so.6.2.0 lrwxrwxrwx 1 root root 16 Dec 22 2016 libXpm.so.4 -> libXpm.so.4.11.0 -rw-r--r-- 1 root root 71K Dec 22 2016 libXpm.so.4.11.0 lrwxrwxrwx 1 root root 18 Dec 6 2016 libXrandr.so.2 -> libXrandr.so.2.2.0 -rw-r--r-- 1 root root 43K Dec 6 2016 libXrandr.so.2.2.0 lrwxrwxrwx 1 root root 19 Dec 5 2016 libXrender.so.1 -> libXrender.so.1.3.0 -rw-r--r-- 1 root root 39K Dec 5 2016 libXrender.so.1.3.0 lrwxrwxrwx 1 root root 15 May 9 2012 libXss.so.1 -> libXss.so.1.0.0 -rw-r--r-- 1 root root 15K May 9 2012 libXss.so.1.0.0 lrwxrwxrwx 1 root root 14 May 24 2016 libXt.so.6 -> libXt.so.6.0.0 -rw-r--r-- 1 root root 416K May 24 2016 libXt.so.6.0.0 lrwxrwxrwx 1 root root 19 May 6 2015 libXxf86vm.so.1 -> libXxf86vm.so.1.0.0 -rw-r--r-- 1 root root 23K May 6 2015 libXxf86vm.so.1.0.0 lrwxrwxrwx 1 root root 15 Jul 28 2017 libaec.so.0 -> libaec.so.0.0.3 -rw-r--r-- 1 root root 30K Jul 28 2017 libaec.so.0.0.3 -rw-r--r-- 1 root root 23K Jan 24 2022 libanl.a lrwxrwxrwx 1 root root 33 Jan 24 2022 libanl.so -> /lib/x86_64-linux-gnu/libanl.so.1 lrwxrwxrwx 1 root root 20 Jun 15 2021 libapt-inst.so.2.0 -> libapt-inst.so.2.0.0 -rw-r--r-- 1 root root 51K Jun 15 2021 libapt-inst.so.2.0.0 lrwxrwxrwx 1 root root 19 Jun 15 2021 libapt-pkg.so.5.0 -> libapt-pkg.so.5.0.2 -rw-r--r-- 1 root root 1.8M Jun 15 2021 libapt-pkg.so.5.0.2 lrwxrwxrwx 1 root root 23 Jun 15 2021 libapt-private.so.0.0 -> libapt-private.so.0.0.0 -rw-r--r-- 1 root root 415K Jun 15 2021 libapt-private.so.0.0.0 -rw-r--r-- 1 root root 35K Jan 6 2018 libargon2.so.0 lrwxrwxrwx 1 root root 18 Jan 24 2018 libarpack.so.2 -> libarpack.so.2.0.0 -rw-r--r-- 1 root root 295K Jan 24 2018 libarpack.so.2.0.0 lrwxrwxrwx 1 root root 16 Dec 4 2019 libasan.so.4 -> libasan.so.4.0.0 -rw-r--r-- 1 root root 1.4M Dec 4 2019 libasan.so.4.0.0 lrwxrwxrwx 1 root root 16 Dec 15 2017 libasn1.so.8 -> libasn1.so.8.0.0 -rw-r--r-- 1 root root 647K Dec 15 2017 libasn1.so.8.0.0 lrwxrwxrwx 1 root root 18 Feb 6 2018 libassuan.so.0 -> libassuan.so.0.8.1 -rw-r--r-- 1 root root 75K Feb 6 2018 libassuan.so.0.8.1 lrwxrwxrwx 1 root root 23 Mar 13 2018 libatk-1.0.so.0 -> libatk-1.0.so.0.22810.1 -rw-r--r-- 1 root root 150K Mar 13 2018 libatk-1.0.so.0.22810.1 lrwxrwxrwx 1 root root 26 Mar 13 2018 libatk-bridge-2.0.so.0 -> libatk-bridge-2.0.so.0.0.0 -rw-r--r-- 1 root root 194K Mar 13 2018 libatk-bridge-2.0.so.0.0.0 lrwxrwxrwx 1 root root 18 Mar 10 2020 libatomic.so.1 -> libatomic.so.1.2.0 -rw-r--r-- 1 root root 27K Mar 10 2020 libatomic.so.1.2.0 lrwxrwxrwx 1 root root 17 Mar 13 2018 libatspi.so.0 -> libatspi.so.0.0.1 -rw-r--r-- 1 root root 191K Mar 13 2018 libatspi.so.0.0.1 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-client.so.3 -> libavahi-client.so.3.2.9 -rw-r--r-- 1 root root 67K Jul 6 2021 libavahi-client.so.3.2.9 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-common.so.3 -> libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 47K Jul 6 2021 libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 19M May 18 2022 libavcodec.a lrwxrwxrwx 1 root root 24 May 18 2022 libavcodec.so -> libavcodec.so.57.107.100 lrwxrwxrwx 1 root root 24 May 18 2022 libavcodec.so.57 -> libavcodec.so.57.107.100 -rw-r--r-- 1 root root 14M May 18 2022 libavcodec.so.57.107.100 -rw-r--r-- 1 root root 4.7M May 18 2022 libavformat.a lrwxrwxrwx 1 root root 24 May 18 2022 libavformat.so -> libavformat.so.57.83.100 lrwxrwxrwx 1 root root 24 May 18 2022 libavformat.so.57 -> libavformat.so.57.83.100 -rw-r--r-- 1 root root 2.4M May 18 2022 libavformat.so.57.83.100 -rw-r--r-- 1 root root 214K May 18 2022 libavresample.a lrwxrwxrwx 1 root root 22 May 18 2022 libavresample.so -> libavresample.so.3.7.0 lrwxrwxrwx 1 root root 22 May 18 2022 libavresample.so.3 -> libavresample.so.3.7.0 -rw-r--r-- 1 root root 130K May 18 2022 libavresample.so.3.7.0 -rw-r--r-- 1 root root 755K May 18 2022 libavutil.a lrwxrwxrwx 1 root root 22 May 18 2022 libavutil.so -> libavutil.so.55.78.100 lrwxrwxrwx 1 root root 22 May 18 2022 libavutil.so.55 -> libavutil.so.55.78.100 -rw-r--r-- 1 root root 487K May 18 2022 libavutil.so.55.78.100 -rw-r--r-- 1 root root 1.3M Oct 20 2021 libbfd-2.30-system.so lrwxrwxrwx 1 root root 44 Dec 17 09:09 libblas.a -> /etc/alternatives/libblas.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 45 Dec 17 09:09 libblas.so -> /etc/alternatives/libblas.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Dec 17 09:09 libblas.so.3 -> /etc/alternatives/libblas.so.3-x86_64-linux-gnu lrwxrwxrwx 1 root root 18 Apr 3 2018 libbluray.so.2 -> libbluray.so.2.0.2 -rw-r--r-- 1 root root 319K Apr 3 2018 libbluray.so.2.0.2 -rw-r--r-- 1 root root 5.3M Jan 24 2022 libc.a -rw-r--r-- 1 root root 298 Jan 24 2022 libc.so -rw-r--r-- 1 root root 20K Jan 24 2022 libc_nonshared.a lrwxrwxrwx 1 root root 29 Jan 22 2019 libcairo-gobject.so.2 -> libcairo-gobject.so.2.11510.0 -rw-r--r-- 1 root root 34K Jan 22 2019 libcairo-gobject.so.2.11510.0 lrwxrwxrwx 1 root root 21 Jan 22 2019 libcairo.so.2 -> libcairo.so.2.11510.0 -rw-r--r-- 1 root root 1.2M Jan 22 2019 libcairo.so.2.11510.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libcc1.so.0 -> libcc1.so.0.0.0 -rw-r--r-- 1 root root 116K Mar 10 2020 libcc1.so.0.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so -> libcdt.so.5.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so.5 -> libcdt.so.5.0.0 -rw-r--r-- 1 root root 27K Mar 24 2018 libcdt.so.5.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so -> libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so.6 -> libcgraph.so.6.0.0 -rw-r--r-- 1 root root 88K Mar 24 2018 libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 23 Feb 7 2018 libchromaprint.so.1 -> libchromaprint.so.1.4.3 -rw-r--r-- 1 root root 75K Feb 7 2018 libchromaprint.so.1.4.3 lrwxrwxrwx 1 root root 34 Jan 24 2022 libcidn.so -> /lib/x86_64-linux-gnu/libcidn.so.1 lrwxrwxrwx 1 root root 19 Dec 4 2019 libcilkrts.so.5 -> libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 117K Dec 4 2019 libcilkrts.so.5.0.0 lrwxrwxrwx 1 root root 18 Jul 23 2017 libcolord.so.2 -> libcolord.so.2.0.5 -rw-r--r-- 1 root root 126K Jul 23 2017 libcolord.so.2.0.5 lrwxrwxrwx 1 root root 25 Jul 23 2017 libcolordprivate.so.2 -> libcolordprivate.so.2.0.5 -rw-r--r-- 1 root root 188K Jul 23 2017 libcolordprivate.so.2.0.5 lrwxrwxrwx 1 root root 21 Dec 16 2017 libcroco-0.6.so.3 -> libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 235K Dec 16 2017 libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 61K Jan 24 2022 libcrypt.a lrwxrwxrwx 1 root root 35 Jan 24 2022 libcrypt.so -> /lib/x86_64-linux-gnu/libcrypt.so.1 -rw-r--r-- 1 root root 2.3M Jun 20 2022 libcrypto.so.1.0.0 -rw-r--r-- 1 root root 2.8M Mar 9 2022 libcrypto.so.1.1 lrwxrwxrwx 1 root root 19 Mar 13 2017 libcrystalhd.so.3 -> libcrystalhd.so.3.6 -rw-r--r-- 1 root root 109K Mar 13 2017 libcrystalhd.so.3.6 lrwxrwxrwx 1 root root 15 Nov 13 2019 libcublas.so -> libcublas.so.10 lrwxrwxrwx 1 root root 22 Nov 13 2019 libcublas.so.10 -> libcublas.so.10.2.2.89 -rw-r--r-- 1 root root 65M Nov 13 2019 libcublas.so.10.2.2.89 lrwxrwxrwx 1 root root 17 Nov 13 2019 libcublasLt.so -> libcublasLt.so.10 lrwxrwxrwx 1 root root 24 Nov 13 2019 libcublasLt.so.10 -> libcublasLt.so.10.2.2.89 -rw-r--r-- 1 root root 29M Nov 13 2019 libcublasLt.so.10.2.2.89 -rw-r--r-- 1 root root 32M Nov 13 2019 libcublasLt_static.a -rw-r--r-- 1 root root 77M Nov 13 2019 libcublas_static.a lrwxrwxrwx 1 root root 29 Apr 3 2022 libcudnn.so -> /etc/alternatives/libcudnn_so lrwxrwxrwx 1 root root 17 Oct 27 2019 libcudnn.so.7 -> libcudnn.so.7.6.5 -rw-r--r-- 1 root root 439M Oct 27 2019 libcudnn.so.7.6.5 lrwxrwxrwx 1 root root 32 Apr 3 2022 libcudnn_static.a -> /etc/alternatives/libcudnn_stlib -rw-r--r-- 1 root root 413M Oct 27 2019 libcudnn_static_v7.a -rw-r--r-- 1 root root 558K May 27 2022 libcups.so.2 lrwxrwxrwx 1 root root 19 Oct 18 16:45 libcurl-gnutls.so.3 -> libcurl-gnutls.so.4 lrwxrwxrwx 1 root root 23 Oct 18 16:45 libcurl-gnutls.so.4 -> libcurl-gnutls.so.4.5.0 -rw-r--r-- 1 root root 515K Oct 18 16:45 libcurl-gnutls.so.4.5.0 lrwxrwxrwx 1 root root 16 Oct 18 16:45 libcurl.so.4 -> libcurl.so.4.5.0 -rw-r--r-- 1 root root 519K Oct 18 16:45 libcurl.so.4.5.0 lrwxrwxrwx 1 root root 16 Feb 20 2018 libdap.so.25 -> libdap.so.25.0.1 -rw-r--r-- 1 root root 1.6M Feb 20 2018 libdap.so.25.0.1 lrwxrwxrwx 1 root root 21 Feb 20 2018 libdapclient.so.6 -> libdapclient.so.6.1.7 -rw-r--r-- 1 root root 259K Feb 20 2018 libdapclient.so.6.1.7 lrwxrwxrwx 1 root root 18 Feb 14 2018 libdatrie.so.1 -> libdatrie.so.1.3.3 -rw-r--r-- 1 root root 26K Feb 14 2018 libdatrie.so.1.3.3 -rw-r--r-- 1 root root 1.7M Jun 3 2019 libdb-5.3.so -rw-r--r-- 1 root root 365K Jan 15 2017 libdc1394.a lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so -> libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so.22 -> libdc1394.so.22.2.1 -rw-r--r-- 1 root root 216K Jan 15 2017 libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 17 Mar 29 2018 libdconf.so.1 -> libdconf.so.1.0.0 -rw-r--r-- 1 root root 56K Mar 29 2018 libdconf.so.1.0.0 lrwxrwxrwx 1 root root 25 Jun 8 2016 libdebconfclient.so.0 -> libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 8 2016 libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 12K Jan 24 2022 libdl.a lrwxrwxrwx 1 root root 32 Jan 24 2022 libdl.so -> /lib/x86_64-linux-gnu/libdl.so.2 lrwxrwxrwx 1 root root 15 May 11 2020 libdrm.so.2 -> libdrm.so.2.4.0 -rw-r--r-- 1 root root 67K May 11 2020 libdrm.so.2.4.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_amdgpu.so.1 -> libdrm_amdgpu.so.1.0.0 -rw-r--r-- 1 root root 39K May 11 2020 libdrm_amdgpu.so.1.0.0 lrwxrwxrwx 1 root root 21 May 11 2020 libdrm_intel.so.1 -> libdrm_intel.so.1.0.0 -rw-r--r-- 1 root root 140K May 11 2020 libdrm_intel.so.1.0.0 lrwxrwxrwx 1 root root 23 May 11 2020 libdrm_nouveau.so.2 -> libdrm_nouveau.so.2.0.0 -rw-r--r-- 1 root root 31K May 11 2020 libdrm_nouveau.so.2.0.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_radeon.so.1 -> libdrm_radeon.so.1.0.1 -rw-r--r-- 1 root root 47K May 11 2020 libdrm_radeon.so.1.0.1 lrwxrwxrwx 1 root root 17 Jun 19 2017 libedit.so.2 -> libedit.so.2.0.56 -rw-r--r-- 1 root root 204K Jun 19 2017 libedit.so.2.0.56 -rw-r--r-- 1 root root 103K Jun 7 2019 libelf-0.170.so lrwxrwxrwx 1 root root 15 Jun 7 2019 libelf.so.1 -> libelf-0.170.so lrwxrwxrwx 1 root root 17 Nov 13 2017 libepoxy.so.0 -> libepoxy.so.0.0.0 -rw-r--r-- 1 root root 1.1M Nov 13 2017 libepoxy.so.0.0.0 lrwxrwxrwx 1 root root 19 Apr 27 2016 libepsilon.so.1 -> libepsilon.so.1.0.0 -rw-r--r-- 1 root root 97K Apr 27 2016 libepsilon.so.1.0.0 -rw-r--r-- 1 root root 400K Nov 6 2020 libexif.a lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so -> libexif.so.12.3.3 lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so.12 -> libexif.so.12.3.3 -rw-r--r-- 1 root root 274K Nov 6 2020 libexif.so.12.3.3 lrwxrwxrwx 1 root root 18 Nov 18 10:57 libexpatw.so.1 -> libexpatw.so.1.6.7 -rw-r--r-- 1 root root 203K Nov 18 10:57 libexpatw.so.1.6.7 lrwxrwxrwx 1 root root 18 Jan 4 2018 libfabric.so.1 -> libfabric.so.1.9.3 -rw-r--r-- 1 root root 676K Jan 4 2018 libfabric.so.1.9.3 lrwxrwxrwx 1 root root 15 Jan 7 2018 libffi.so.6 -> libffi.so.6.0.4 -rw-r--r-- 1 root root 31K Jan 7 2018 libffi.so.6.0.4 lrwxrwxrwx 1 root root 23 Apr 5 2018 libfontconfig.so.1 -> libfontconfig.so.1.10.1 -rw-r--r-- 1 root root 276K Apr 5 2018 libfontconfig.so.1.10.1 lrwxrwxrwx 1 root root 14 May 23 2018 libform.so.5 -> libform.so.5.9 -rw-r--r-- 1 root root 60K May 23 2018 libform.so.5.9 lrwxrwxrwx 1 root root 15 May 23 2018 libformw.so.5 -> libformw.so.5.9 -rw-r--r-- 1 root root 68K May 23 2018 libformw.so.5.9 lrwxrwxrwx 1 root root 18 Jul 6 2022 libfreebl3.chk -> nss/libfreebl3.chk lrwxrwxrwx 1 root root 17 Jul 6 2022 libfreebl3.so -> nss/libfreebl3.so lrwxrwxrwx 1 root root 22 Jul 6 2022 libfreeblpriv3.chk -> nss/libfreeblpriv3.chk lrwxrwxrwx 1 root root 21 Jul 6 2022 libfreeblpriv3.so -> nss/libfreeblpriv3.so lrwxrwxrwx 1 root root 21 Jul 19 16:39 libfreetype.so.6 -> libfreetype.so.6.15.0 -rw-r--r-- 1 root root 719K Jul 19 16:39 libfreetype.so.6.15.0 lrwxrwxrwx 1 root root 18 Feb 22 2018 libfreexl.so.1 -> libfreexl.so.1.1.0 -rw-r--r-- 1 root root 34K Feb 22 2018 libfreexl.so.1.1.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyba.so.0 -> libfyba.so.0.0.0 -rw-r--r-- 1 root root 215K Aug 19 2016 libfyba.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfygm.so.0 -> libfygm.so.0.0.0 -rw-r--r-- 1 root root 27K Aug 19 2016 libfygm.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyut.so.0 -> libfyut.so.0.0.0 -rw-r--r-- 1 root root 35K Aug 19 2016 libfyut.so.0.0.0 -rw-r--r-- 1 root root 1.2K Jan 24 2022 libg.a lrwxrwxrwx 1 root root 14 Aug 30 2021 libgd.so.3 -> libgd.so.3.0.5 -rw-r--r-- 1 root root 397K Aug 30 2021 libgd.so.3.0.5 lrwxrwxrwx 1 root root 16 Mar 14 2018 libgdbm.so.5 -> libgdbm.so.5.0.0 -rw-r--r-- 1 root root 51K Mar 14 2018 libgdbm.so.5.0.0 lrwxrwxrwx 1 root root 23 Mar 14 2018 libgdbm_compat.so.4 -> libgdbm_compat.so.4.0.0 -rw-r--r-- 1 root root 14K Mar 14 2018 libgdbm_compat.so.4.0.0 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmCommon.so -> libgdcmCommon.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmCommon.so.2.8 -> libgdcmCommon.so.2.8.4 -rw-r--r-- 1 root root 155K Feb 5 2018 libgdcmCommon.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDICT.so -> libgdcmDICT.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDICT.so.2.8 -> libgdcmDICT.so.2.8.4 -rw-r--r-- 1 root root 2.4M Feb 5 2018 libgdcmDICT.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDSED.so -> libgdcmDSED.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDSED.so.2.8 -> libgdcmDSED.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmDSED.so.2.8.4 lrwxrwxrwx 1 root root 17 Feb 5 2018 libgdcmIOD.so -> libgdcmIOD.so.2.8 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmIOD.so.2.8 -> libgdcmIOD.so.2.8.4 -rw-r--r-- 1 root root 87K Feb 5 2018 libgdcmIOD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMEXD.so -> libgdcmMEXD.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMEXD.so.2.8 -> libgdcmMEXD.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmMEXD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMSFF.so -> libgdcmMSFF.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMSFF.so.2.8 -> libgdcmMSFF.so.2.8.4 -rw-r--r-- 1 root root 2.6M Feb 5 2018 libgdcmMSFF.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg12.so -> libgdcmjpeg12.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg12.so.2.8 -> libgdcmjpeg12.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg12.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg16.so -> libgdcmjpeg16.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg16.so.2.8 -> libgdcmjpeg16.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg16.so.2.8.4 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmjpeg8.so -> libgdcmjpeg8.so.2.8 lrwxrwxrwx 1 root root 21 Feb 5 2018 libgdcmjpeg8.so.2.8 -> libgdcmjpeg8.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg8.so.2.8.4 lrwxrwxrwx 1 root root 21 Jun 5 2019 libgdk-3.so.0 -> libgdk-3.so.0.2200.30 -rw-r--r-- 1 root root 981K Jun 5 2019 libgdk-3.so.0.2200.30 lrwxrwxrwx 1 root root 27 Mar 24 2018 libgdk-x11-2.0.so.0 -> libgdk-x11-2.0.so.0.2400.32 -rw-r--r-- 1 root root 724K Mar 24 2018 libgdk-x11-2.0.so.0.2400.32 lrwxrwxrwx 1 root root 29 Mar 16 2018 libgdk_pixbuf-2.0.so.0 -> libgdk_pixbuf-2.0.so.0.3611.0 -rw-r--r-- 1 root root 144K Mar 16 2018 libgdk_pixbuf-2.0.so.0.3611.0 lrwxrwxrwx 1 root root 34 Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0 -> libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 67K Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 1.6M Mar 1 2018 libgeos-3.6.2.so lrwxrwxrwx 1 root root 19 Mar 1 2018 libgeos_c.so.1 -> libgeos_c.so.1.10.2 -rw-r--r-- 1 root root 187K Mar 1 2018 libgeos_c.so.1.10.2 lrwxrwxrwx 1 root root 19 Nov 17 2016 libgeotiff.so.2 -> libgeotiff.so.2.1.2 -rw-r--r-- 1 root root 215K Nov 17 2016 libgeotiff.so.2.1.2 lrwxrwxrwx 1 root root 20 Dec 4 2019 libgfortran.so.4 -> libgfortran.so.4.0.0 -rw-r--r-- 1 root root 1.9M Dec 4 2019 libgfortran.so.4.0.0 lrwxrwxrwx 1 root root 15 Aug 19 2019 libgif.so.7 -> libgif.so.7.0.0 -rw-r--r-- 1 root root 34K Aug 19 2019 libgif.so.7.0.0 -rw-r--r-- 1 root root 4.0M Nov 29 2021 libgio-2.0.a lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so -> libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so.0 -> libgio-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.7M Nov 29 2021 libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 28 Apr 15 2018 libgirepository-1.0.so.1 -> libgirepository-1.0.so.1.0.0 -rw-r--r-- 1 root root 208K Apr 15 2018 libgirepository-1.0.so.1.0.0 lrwxrwxrwx 1 root root 17 Sep 27 2017 libgl2ps.so.1.4 -> libgl2ps.so.1.4.0 -rw-r--r-- 1 root root 79K Sep 27 2017 libgl2ps.so.1.4.0 lrwxrwxrwx 1 root root 17 Jun 12 2020 libglapi.so.0 -> libglapi.so.0.0.0 -rw-r--r-- 1 root root 215K Jun 12 2020 libglapi.so.0.0.0 -rw-r--r-- 1 root root 2.0M Nov 29 2021 libglib-2.0.a lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so -> libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so.0 -> libglib-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.1M Nov 29 2021 libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 15 Dec 7 2017 libgme.so.0 -> libgme.so.0.6.2 -rw-r--r-- 1 root root 303K Dec 7 2017 libgme.so.0.6.2 -rw-r--r-- 1 root root 16K Nov 29 2021 libgmodule-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so -> libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so.0 -> libgmodule-2.0.so.0.5600.4 -rw-r--r-- 1 root root 14K Nov 29 2021 libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Jan 24 2018 libgmp.so.10 -> libgmp.so.10.3.2 -rw-r--r-- 1 root root 515K Jan 24 2018 libgmp.so.10.3.2 lrwxrwxrwx 1 root root 21 Aug 25 2021 libgnutls.so.30 -> libgnutls.so.30.14.10 -rw-r--r-- 1 root root 1.4M Aug 25 2021 libgnutls.so.30.14.10 -rw-r--r-- 1 root root 667K Nov 29 2021 libgobject-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so -> libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so.0 -> libgobject-2.0.so.0.5600.4 -rw-r--r-- 1 root root 335K Nov 29 2021 libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Mar 10 2020 libgomp.so.1 -> libgomp.so.1.0.0 -rw-r--r-- 1 root root 188K Mar 10 2020 libgomp.so.1.0.0 drwxr-xr-x 3 root root 4.0K Dec 17 09:09 libgphoto2 drwxr-xr-x 3 root root 4.0K Dec 17 09:09 libgphoto2-dev -rw-r--r-- 1 root root 262K Dec 23 2017 libgphoto2.a lrwxrwxrwx 1 root root 19 Dec 23 2017 libgphoto2.so -> libgphoto2.so.6.0.0 lrwxrwxrwx 1 root root 19 Dec 23 2017 libgphoto2.so.6 -> libgphoto2.so.6.0.0 -rw-r--r-- 1 root root 143K Dec 23 2017 libgphoto2.so.6.0.0 drwxr-xr-x 3 root root 4.0K Dec 17 09:09 libgphoto2_port -rw-r--r-- 1 root root 79K Dec 23 2017 libgphoto2_port.a lrwxrwxrwx 1 root root 25 Dec 23 2017 libgphoto2_port.so -> libgphoto2_port.so.12.0.0 lrwxrwxrwx 1 root root 25 Dec 23 2017 libgphoto2_port.so.12 -> libgphoto2_port.so.12.0.0 -rw-r--r-- 1 root root 43K Dec 23 2017 libgphoto2_port.so.12.0.0 -rw-r--r-- 1 root root 22K Jan 30 2018 libgpm.so.2 lrwxrwxrwx 1 root root 17 Mar 11 2018 libgraphite2.so -> libgraphite2.so.3 lrwxrwxrwx 1 root root 17 Mar 11 2018 libgraphite2.so.2.0.0 -> libgraphite2.so.3 lrwxrwxrwx 1 root root 21 Mar 11 2018 libgraphite2.so.3 -> libgraphite2.so.3.0.1 -rw-r--r-- 1 root root 179K Mar 11 2018 libgraphite2.so.3.0.1 lrwxrwxrwx 1 root root 16 Apr 3 2018 libgsm.so.1 -> libgsm.so.1.0.12 -rw-r--r-- 1 root root 51K Apr 3 2018 libgsm.so.1.0.12 lrwxrwxrwx 1 root root 18 Dec 15 2017 libgssapi.so.3 -> libgssapi.so.3.0.0 -rw-r--r-- 1 root root 260K Dec 15 2017 libgssapi.so.3.0.0 lrwxrwxrwx 1 root root 21 Nov 11 2020 libgssapi_krb5.so.2 -> libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 299K Nov 11 2020 libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 2.7K Nov 29 2021 libgthread-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgthread-2.0.so -> libgthread-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgthread-2.0.so.0 -> libgthread-2.0.so.0.5600.4 -rw-r--r-- 1 root root 5.9K Nov 29 2021 libgthread-2.0.so.0.5600.4 drwxr-xr-x 2 root root 4.0K Dec 17 09:09 libgtk-3-0 lrwxrwxrwx 1 root root 21 Jun 5 2019 libgtk-3.so.0 -> libgtk-3.so.0.2200.30 -rw-r--r-- 1 root root 7.1M Jun 5 2019 libgtk-3.so.0.2200.30 lrwxrwxrwx 1 root root 27 Mar 24 2018 libgtk-x11-2.0.so.0 -> libgtk-x11-2.0.so.0.2400.32 -rw-r--r-- 1 root root 4.3M Mar 24 2018 libgtk-x11-2.0.so.0.2400.32 drwxr-xr-x 2 root root 4.0K Dec 17 09:09 libgtk2.0-0 lrwxrwxrwx 1 root root 19 Feb 3 2017 libgts-0.7.so.5 -> libgts-0.7.so.5.0.1 -rw-r--r-- 1 root root 371K Feb 3 2017 libgts-0.7.so.5.0.1 lrwxrwxrwx 1 root root 15 Mar 24 2018 libgvc.so -> libgvc.so.6.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libgvc.so.6 -> libgvc.so.6.0.0 -rw-r--r-- 1 root root 613K Mar 24 2018 libgvc.so.6.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libgvpr.so -> libgvpr.so.2.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libgvpr.so.2 -> libgvpr.so.2.0.0 -rw-r--r-- 1 root root 480K Mar 24 2018 libgvpr.so.2.0.0 -rw-r--r-- 1 root root 67K Apr 13 2018 libharfbuzz-gobject.a lrwxrwxrwx 1 root root 32 Apr 13 2018 libharfbuzz-gobject.so -> libharfbuzz-gobject.so.0.10702.0 lrwxrwxrwx 1 root root 32 Apr 13 2018 libharfbuzz-gobject.so.0 -> libharfbuzz-gobject.so.0.10702.0 -rw-r--r-- 1 root root 55K Apr 13 2018 libharfbuzz-gobject.so.0.10702.0 -rw-r--r-- 1 root root 7.0K Apr 13 2018 libharfbuzz-icu.a lrwxrwxrwx 1 root root 28 Apr 13 2018 libharfbuzz-icu.so -> libharfbuzz-icu.so.0.10702.0 lrwxrwxrwx 1 root root 28 Apr 13 2018 libharfbuzz-icu.so.0 -> libharfbuzz-icu.so.0.10702.0 -rw-r--r-- 1 root root 11K Apr 13 2018 libharfbuzz-icu.so.0.10702.0 -rw-r--r-- 1 root root 965K Apr 13 2018 libharfbuzz.a lrwxrwxrwx 1 root root 24 Apr 13 2018 libharfbuzz.so -> libharfbuzz.so.0.10702.0 lrwxrwxrwx 1 root root 24 Apr 13 2018 libharfbuzz.so.0 -> libharfbuzz.so.0.10702.0 -rw-r--r-- 1 root root 631K Apr 13 2018 libharfbuzz.so.0.10702.0 lrwxrwxrwx 1 root root 19 Dec 15 2017 libhcrypto.so.4 -> libhcrypto.so.4.1.0 -rw-r--r-- 1 root root 213K Dec 15 2017 libhcrypto.so.4.1.0 lrwxrwxrwx 1 root root 26 Aug 13 2017 libhdf5_openmpi.so.100 -> libhdf5_openmpi.so.100.0.1 -rw-r--r-- 1 root root 3.5M Aug 13 2017 libhdf5_openmpi.so.100.0.1 lrwxrwxrwx 1 root root 34 Aug 13 2017 libhdf5_openmpi_fortran.so.100 -> libhdf5_openmpi_fortran.so.100.0.1 -rw-r--r-- 1 root root 249K Aug 13 2017 libhdf5_openmpi_fortran.so.100.0.1 lrwxrwxrwx 1 root root 29 Aug 13 2017 libhdf5_openmpi_hl.so.100 -> libhdf5_openmpi_hl.so.100.0.0 -rw-r--r-- 1 root root 136K Aug 13 2017 libhdf5_openmpi_hl.so.100.0.0 lrwxrwxrwx 1 root root 36 Aug 13 2017 libhdf5_openmpihl_fortran.so.100 -> libhdf5_openmpihl_fortran.so.100.0.0 -rw-r--r-- 1 root root 119K Aug 13 2017 libhdf5_openmpihl_fortran.so.100.0.0 lrwxrwxrwx 1 root root 25 Aug 13 2017 libhdf5_serial.so.100 -> libhdf5_serial.so.100.0.1 -rw-r--r-- 1 root root 3.4M Aug 13 2017 libhdf5_serial.so.100.0.1 lrwxrwxrwx 1 root root 33 Aug 13 2017 libhdf5_serial_fortran.so.100 -> libhdf5_serial_fortran.so.100.0.1 -rw-r--r-- 1 root root 245K Aug 13 2017 libhdf5_serial_fortran.so.100.0.1 lrwxrwxrwx 1 root root 28 Aug 13 2017 libhdf5_serial_hl.so.100 -> libhdf5_serial_hl.so.100.0.0 -rw-r--r-- 1 root root 136K Aug 13 2017 libhdf5_serial_hl.so.100.0.0 lrwxrwxrwx 1 root root 35 Aug 13 2017 libhdf5_serialhl_fortran.so.100 -> libhdf5_serialhl_fortran.so.100.0.0 -rw-r--r-- 1 root root 119K Aug 13 2017 libhdf5_serialhl_fortran.so.100.0.0 lrwxrwxrwx 1 root root 20 Dec 15 2017 libheimbase.so.1 -> libheimbase.so.1.0.0 -rw-r--r-- 1 root root 59K Dec 15 2017 libheimbase.so.1.0.0 lrwxrwxrwx 1 root root 20 Dec 15 2017 libheimntlm.so.0 -> libheimntlm.so.0.1.0 -rw-r--r-- 1 root root 35K Dec 15 2017 libheimntlm.so.0.1.0 lrwxrwxrwx 1 root root 17 Jun 14 2021 libhogweed.so.4 -> libhogweed.so.4.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libhogweed.so.4.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.0 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.1 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.2 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.3 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.4 -> libhwloc.so.5 lrwxrwxrwx 1 root root 17 Jan 19 2018 libhwloc.so.5 -> libhwloc.so.5.7.6 -rw-r--r-- 1 root root 244K Jan 19 2018 libhwloc.so.5.7.6 lrwxrwxrwx 1 root root 17 Dec 15 2017 libhx509.so.5 -> libhx509.so.5.0.0 -rw-r--r-- 1 root root 294K Dec 15 2017 libhx509.so.5.0.0 lrwxrwxrwx 1 root root 22 Aug 5 2019 libibverbs.so.1 -> libibverbs.so.1.1.17.1 -rw-r--r-- 1 root root 87K Aug 5 2019 libibverbs.so.1.1.17.1 -rw-r--r-- 1 root root 55K Dec 9 2017 libicu-le-hb.a lrwxrwxrwx 1 root root 21 Dec 9 2017 libicu-le-hb.so -> libicu-le-hb.so.0.0.0 lrwxrwxrwx 1 root root 21 Dec 9 2017 libicu-le-hb.so.0 -> libicu-le-hb.so.0.0.0 -rw-r--r-- 1 root root 35K Dec 9 2017 libicu-le-hb.so.0.0.0 -rw-r--r-- 1 root root 26M Oct 19 2021 libicudata.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicudata.so -> libicudata.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicudata.so.60 -> libicudata.so.60.2 -rw-r--r-- 1 root root 26M Oct 19 2021 libicudata.so.60.2 -rw-r--r-- 1 root root 5.9M Oct 19 2021 libicui18n.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicui18n.so -> libicui18n.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicui18n.so.60 -> libicui18n.so.60.2 -rw-r--r-- 1 root root 2.7M Oct 19 2021 libicui18n.so.60.2 -rw-r--r-- 1 root root 85K Oct 19 2021 libicuio.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuio.so -> libicuio.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuio.so.60 -> libicuio.so.60.2 -rw-r--r-- 1 root root 55K Oct 19 2021 libicuio.so.60.2 -rw-r--r-- 1 root root 75K Oct 19 2021 libiculx.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libiculx.so -> libiculx.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libiculx.so.60 -> libiculx.so.60.2 -rw-r--r-- 1 root root 47K Oct 19 2021 libiculx.so.60.2 -rw-r--r-- 1 root root 109K Oct 19 2021 libicutest.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicutest.so -> libicutest.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicutest.so.60 -> libicutest.so.60.2 -rw-r--r-- 1 root root 64K Oct 19 2021 libicutest.so.60.2 -rw-r--r-- 1 root root 359K Oct 19 2021 libicutu.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicutu.so -> libicutu.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicutu.so.60 -> libicutu.so.60.2 -rw-r--r-- 1 root root 199K Oct 19 2021 libicutu.so.60.2 -rw-r--r-- 1 root root 3.1M Oct 19 2021 libicuuc.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuuc.so -> libicuuc.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuuc.so.60 -> libicuuc.so.60.2 -rw-r--r-- 1 root root 1.8M Oct 19 2021 libicuuc.so.60.2 lrwxrwxrwx 1 root root 16 Oct 24 2019 libidn2.so.0 -> libidn2.so.0.3.3 -rw-r--r-- 1 root root 114K Oct 24 2019 libidn2.so.0.3.3 lrwxrwxrwx 1 root root 20 Jan 14 2018 libinfinipath.so.4 -> libinfinipath.so.4.0 -rw-r--r-- 1 root root 59K Jan 14 2018 libinfinipath.so.4.0 lrwxrwxrwx 1 root root 17 Nov 12 2017 libip4tc.so.0 -> libip4tc.so.0.1.0 -rw-r--r-- 1 root root 27K Nov 12 2017 libip4tc.so.0.1.0 lrwxrwxrwx 1 root root 16 Mar 9 2018 libisl.so.19 -> libisl.so.19.0.0 -rw-r--r-- 1 root root 1.6M Mar 9 2018 libisl.so.19.0.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libitm.so.1 -> libitm.so.1.0.0 -rw-r--r-- 1 root root 111K Mar 10 2020 libitm.so.1.0.0 -rw-r--r-- 1 root root 51K Nov 22 16:58 libjbig.a lrwxrwxrwx 1 root root 12 Nov 22 16:58 libjbig.so -> libjbig.so.0 -rw-r--r-- 1 root root 57K Nov 22 16:58 libjbig.so.0 -rw-r--r-- 1 root root 580K Sep 21 18:07 libjpeg.a lrwxrwxrwx 1 root root 16 Sep 21 18:07 libjpeg.so -> libjpeg.so.8.1.2 lrwxrwxrwx 1 root root 16 Sep 21 18:07 libjpeg.so.8 -> libjpeg.so.8.1.2 -rw-r--r-- 1 root root 415K Sep 21 18:07 libjpeg.so.8.1.2 lrwxrwxrwx 1 root root 27 Apr 6 2020 libjson-glib-1.0.so.0 -> libjson-glib-1.0.so.0.400.2 -rw-r--r-- 1 root root 154K Apr 6 2020 libjson-glib-1.0.so.0.400.2 lrwxrwxrwx 1 root root 19 Aug 23 2016 libjsoncpp.so.1 -> libjsoncpp.so.1.7.4 -rw-r--r-- 1 root root 199K Aug 23 2016 libjsoncpp.so.1.7.4 lrwxrwxrwx 1 root root 18 Nov 11 2020 libk5crypto.so.3 -> libk5crypto.so.3.1 -rw-r--r-- 1 root root 195K Nov 11 2020 libk5crypto.so.3.1 lrwxrwxrwx 1 root root 19 Sep 25 2017 libkmlbase.so.1 -> libkmlbase.so.1.3.0 -rw-r--r-- 1 root root 107K Sep 25 2017 libkmlbase.so.1.3.0 lrwxrwxrwx 1 root root 18 Sep 25 2017 libkmldom.so.1 -> libkmldom.so.1.3.0 -rw-r--r-- 1 root root 731K Sep 25 2017 libkmldom.so.1.3.0 lrwxrwxrwx 1 root root 21 Sep 25 2017 libkmlengine.so.1 -> libkmlengine.so.1.3.0 -rw-r--r-- 1 root root 223K Sep 25 2017 libkmlengine.so.1.3.0 lrwxrwxrwx 1 root root 17 Dec 15 2017 libkrb5.so.26 -> libkrb5.so.26.0.0 -rw-r--r-- 1 root root 561K Dec 15 2017 libkrb5.so.26.0.0 lrwxrwxrwx 1 root root 14 Nov 11 2020 libkrb5.so.3 -> libkrb5.so.3.3 -rw-r--r-- 1 root root 857K Nov 11 2020 libkrb5.so.3.3 lrwxrwxrwx 1 root root 21 Nov 11 2020 libkrb5support.so.0 -> libkrb5support.so.0.1 -rw-r--r-- 1 root root 43K Nov 11 2020 libkrb5support.so.0.1 lrwxrwxrwx 1 root root 17 Sep 3 2016 libksba.so.8 -> libksba.so.8.11.6 -rw-r--r-- 1 root root 223K Sep 3 2016 libksba.so.8.11.6 lrwxrwxrwx 1 root root 21 Mar 24 2018 liblab_gamut.so -> liblab_gamut.so.1.0.0 lrwxrwxrwx 1 root root 21 Mar 24 2018 liblab_gamut.so.1 -> liblab_gamut.so.1.0.0 -rw-r--r-- 1 root root 2.4M Mar 24 2018 liblab_gamut.so.1.0.0 lrwxrwxrwx 1 root root 46 Dec 17 09:09 liblapack.a -> /etc/alternatives/liblapack.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Dec 17 09:09 liblapack.so -> /etc/alternatives/liblapack.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 49 Dec 17 09:09 liblapack.so.3 -> /etc/alternatives/liblapack.so.3-x86_64-linux-gnu lrwxrwxrwx 1 root root 21 Feb 18 2021 liblber-2.4.so.2 -> liblber-2.4.so.2.10.8 -rw-r--r-- 1 root root 55K Feb 18 2021 liblber-2.4.so.2.10.8 lrwxrwxrwx 1 root root 17 Sep 20 2018 liblcms2.so.2 -> liblcms2.so.2.0.8 -rw-r--r-- 1 root root 349K Sep 20 2018 liblcms2.so.2.0.8 lrwxrwxrwx 1 root root 18 Feb 18 2021 libldap-2.4.so.2 -> libldap_r-2.4.so.2 lrwxrwxrwx 1 root root 23 Feb 18 2021 libldap_r-2.4.so.2 -> libldap_r-2.4.so.2.10.8 -rw-r--r-- 1 root root 320K Feb 18 2021 libldap_r-2.4.so.2.10.8 lrwxrwxrwx 1 root root 16 Mar 2 2018 liblept.so.5 -> liblept.so.5.0.2 -rw-r--r-- 1 root root 2.4M Mar 2 2018 liblept.so.5.0.2 lrwxrwxrwx 1 root root 16 Mar 10 2020 liblsan.so.0 -> liblsan.so.0.0.0 -rw-r--r-- 1 root root 338K Mar 10 2020 liblsan.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 20 2016 libltdl.so.7 -> libltdl.so.7.3.1 -rw-r--r-- 1 root root 39K Aug 20 2016 libltdl.so.7.3.1 lrwxrwxrwx 1 root root 15 May 20 2021 liblz4.so.1 -> liblz4.so.1.7.1 -rw-r--r-- 1 root root 111K May 20 2021 liblz4.so.1.7.1 -rw-r--r-- 1 root root 261K Apr 8 2022 liblzma.a lrwxrwxrwx 1 root root 38 Apr 8 2022 liblzma.so -> /lib/x86_64-linux-gnu/liblzma.so.5.2.2 -rw-r--r-- 1 root root 3.5M Jan 24 2022 libm-2.27.a -rw-r--r-- 1 root root 132 Jan 24 2022 libm.a -rw-r--r-- 1 root root 186 Jan 24 2022 libm.so lrwxrwxrwx 1 root root 34 Feb 5 2018 libmca_common_libfabric.so.20 -> libmca_common_libfabric.so.20.10.0 lrwxrwxrwx 1 root root 46 Feb 5 2018 libmca_common_libfabric.so.20.10.0 -> openmpi/lib/libmca_common_libfabric.so.20.10.0 lrwxrwxrwx 1 root root 27 Feb 5 2018 libmca_common_sm.so.20 -> libmca_common_sm.so.20.10.1 lrwxrwxrwx 1 root root 39 Feb 5 2018 libmca_common_sm.so.20.10.1 -> openmpi/lib/libmca_common_sm.so.20.10.1 lrwxrwxrwx 1 root root 30 Feb 5 2018 libmca_common_verbs.so.20 -> libmca_common_verbs.so.20.10.0 lrwxrwxrwx 1 root root 42 Feb 5 2018 libmca_common_verbs.so.20.10.0 -> openmpi/lib/libmca_common_verbs.so.20.10.0 -rw-r--r-- 1 root root 1.5K Jan 24 2022 libmcheck.a lrwxrwxrwx 1 root root 14 May 23 2018 libmenu.so.5 -> libmenu.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenu.so.5.9 lrwxrwxrwx 1 root root 15 May 23 2018 libmenuw.so.5 -> libmenuw.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenuw.so.5.9 lrwxrwxrwx 1 root root 19 Apr 3 2018 libminizip.so.1 -> libminizip.so.1.0.0 -rw-r--r-- 1 root root 43K Apr 3 2018 libminizip.so.1.0.0 lrwxrwxrwx 1 root root 19 Oct 21 2017 libmp3lame.so.0 -> libmp3lame.so.0.0.0 -rw-r--r-- 1 root root 294K Oct 21 2017 libmp3lame.so.0.0.0 lrwxrwxrwx 1 root root 15 Jan 23 2018 libmpc.so.3 -> libmpc.so.3.1.0 -rw-r--r-- 1 root root 96K Jan 23 2018 libmpc.so.3.1.0 lrwxrwxrwx 1 root root 17 Apr 23 2018 libmpdec.so.2 -> libmpdec.so.2.4.2 -rw-r--r-- 1 root root 223K Apr 23 2018 libmpdec.so.2.4.2 lrwxrwxrwx 1 root root 16 Feb 7 2018 libmpfr.so.6 -> libmpfr.so.6.0.1 -rw-r--r-- 1 root root 512K Feb 7 2018 libmpfr.so.6.0.1 lrwxrwxrwx 1 root root 19 Mar 10 2018 libmpg123.so.0 -> libmpg123.so.0.44.8 -rw-r--r-- 1 root root 316K Mar 10 2018 libmpg123.so.0.44.8 lrwxrwxrwx 1 root root 17 Feb 5 2018 libmpi.so.20 -> libmpi.so.20.10.1 lrwxrwxrwx 1 root root 29 Feb 5 2018 libmpi.so.20.10.1 -> openmpi/lib/libmpi.so.20.10.1 lrwxrwxrwx 1 root root 21 Feb 5 2018 libmpi_cxx.so.20 -> libmpi_cxx.so.20.10.0 lrwxrwxrwx 1 root root 33 Feb 5 2018 libmpi_cxx.so.20.10.0 -> openmpi/lib/libmpi_cxx.so.20.10.0 lrwxrwxrwx 1 root root 22 Feb 5 2018 libmpi_java.so.20 -> libmpi_java.so.20.10.0 lrwxrwxrwx 1 root root 34 Feb 5 2018 libmpi_java.so.20.10.0 -> openmpi/lib/libmpi_java.so.20.10.0 lrwxrwxrwx 1 root root 23 Feb 5 2018 libmpi_mpifh.so.20 -> libmpi_mpifh.so.20.11.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libmpi_mpifh.so.20.11.0 -> openmpi/lib/libmpi_mpifh.so.20.11.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libmpi_usempi_ignore_tkr.so.20 -> libmpi_usempi_ignore_tkr.so.20.10.0 lrwxrwxrwx 1 root root 47 Feb 5 2018 libmpi_usempi_ignore_tkr.so.20.10.0 -> openmpi/lib/libmpi_usempi_ignore_tkr.so.20.10.0 lrwxrwxrwx 1 root root 27 Feb 5 2018 libmpi_usempif08.so.20 -> libmpi_usempif08.so.20.10.0 lrwxrwxrwx 1 root root 39 Feb 5 2018 libmpi_usempif08.so.20.10.0 -> openmpi/lib/libmpi_usempif08.so.20.10.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libmpx.so.2 -> libmpx.so.2.0.1 -rw-r--r-- 1 root root 19K Mar 10 2020 libmpx.so.2.0.1 lrwxrwxrwx 1 root root 23 Mar 10 2020 libmpxwrappers.so.2 -> libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 15K Mar 10 2020 libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 337K Jan 24 2022 libmvec.a lrwxrwxrwx 1 root root 34 Jan 24 2022 libmvec.so -> /lib/x86_64-linux-gnu/libmvec.so.1 -rw-r--r-- 1 root root 5.9K Jan 24 2022 libmvec_nonshared.a lrwxrwxrwx 1 root root 25 Oct 19 12:58 libmysqlclient.so.20 -> libmysqlclient.so.20.3.27 -rw-r--r-- 1 root root 3.8M Oct 19 12:58 libmysqlclient.so.20.3.27 lrwxrwxrwx 1 root root 12 Sep 1 2021 libnccl.so -> libnccl.so.2 lrwxrwxrwx 1 root root 17 Sep 1 2021 libnccl.so.2 -> libnccl.so.2.11.4 -rw-r--r-- 1 root root 136M Sep 1 2021 libnccl.so.2.11.4 -rw-r--r-- 1 root root 154M Sep 1 2021 libnccl_static.a -rw-r--r-- 1 root root 1.1M Feb 9 2018 libnetcdf.so.13 lrwxrwxrwx 1 root root 22 Nov 9 2017 libnetcdf_c++.so.4 -> libnetcdf_c++.so.4.2.0 -rw-r--r-- 1 root root 119K Nov 9 2017 libnetcdf_c++.so.4.2.0 lrwxrwxrwx 1 root root 16 Jun 14 2021 libnettle.so.6 -> libnettle.so.6.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libnettle.so.6.5 lrwxrwxrwx 1 root root 21 Apr 10 2018 libnghttp2.so.14 -> libnghttp2.so.14.15.2 -rw-r--r-- 1 root root 150K Apr 10 2018 libnghttp2.so.14.15.2 lrwxrwxrwx 1 root root 25 Jun 2 2017 libnl-route-3.so.200 -> libnl-route-3.so.200.24.0 -rw-r--r-- 1 root root 458K Jun 2 2017 libnl-route-3.so.200.24.0 lrwxrwxrwx 1 root root 16 Nov 12 2017 libnpth.so.0 -> libnpth.so.0.1.1 -rw-r--r-- 1 root root 15K Nov 12 2017 libnpth.so.0.1.1 -rw-r--r-- 1 root root 201K Jan 24 2022 libnsl.a lrwxrwxrwx 1 root root 33 Jan 24 2022 libnsl.so -> /lib/x86_64-linux-gnu/libnsl.so.1 -rw-r--r-- 1 root root 234K Feb 22 2018 libnspr4.so -rw-r--r-- 1 root root 1.3M Jul 6 2022 libnss3.so lrwxrwxrwx 1 root root 40 Jan 24 2022 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 37 Jan 24 2022 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 39 Jan 24 2022 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 40 Jan 24 2022 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 37 Jan 24 2022 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 41 Jan 24 2022 libnss_nisplus.so -> /lib/x86_64-linux-gnu/libnss_nisplus.so.2 -rw-r--r-- 1 root root 187K Jul 6 2022 libnssutil3.so lrwxrwxrwx 1 root root 16 Jun 20 2018 libnuma.so.1 -> libnuma.so.1.0.0 -rw-r--r-- 1 root root 43K Jun 20 2018 libnuma.so.1.0.0 lrwxrwxrwx 1 root root 15 Nov 13 2019 libnvblas.so -> libnvblas.so.10 lrwxrwxrwx 1 root root 22 Nov 13 2019 libnvblas.so.10 -> libnvblas.so.10.2.2.89 -rw-r--r-- 1 root root 534K Nov 13 2019 libnvblas.so.10.2.2.89 lrwxrwxrwx 1 root root 12 Mar 26 2018 libodbc.so.1 -> libodbc.so.2 lrwxrwxrwx 1 root root 16 Mar 26 2018 libodbc.so.2 -> libodbc.so.2.0.0 -rw-r--r-- 1 root root 422K Mar 26 2018 libodbc.so.2.0.0 lrwxrwxrwx 1 root root 14 Mar 26 2018 libodbccr.so.1 -> libodbccr.so.2 lrwxrwxrwx 1 root root 18 Mar 26 2018 libodbccr.so.2 -> libodbccr.so.2.0.0 -rw-r--r-- 1 root root 43K Mar 26 2018 libodbccr.so.2.0.0 lrwxrwxrwx 1 root root 16 Mar 26 2018 libodbcinst.so.1 -> libodbcinst.so.2 lrwxrwxrwx 1 root root 20 Mar 26 2018 libodbcinst.so.2 -> libodbcinst.so.2.0.0 -rw-r--r-- 1 root root 71K Mar 26 2018 libodbcinst.so.2.0.0 lrwxrwxrwx 1 root root 15 Jun 2 2014 libogg.so.0 -> libogg.so.0.8.2 -rw-r--r-- 1 root root 34K Jun 2 2014 libogg.so.0.8.2 lrwxrwxrwx 1 root root 23 Feb 5 2018 libompitrace.so.20 -> libompitrace.so.20.10.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libompitrace.so.20.10.0 -> openmpi/lib/libompitrace.so.20.10.0 -rw-r--r-- 1 root root 1.7M Oct 20 2021 libopcodes-2.30-system.so lrwxrwxrwx 1 root root 22 Feb 5 2018 libopen-pal.so.20 -> libopen-pal.so.20.10.1 lrwxrwxrwx 1 root root 34 Feb 5 2018 libopen-pal.so.20.10.1 -> openmpi/lib/libopen-pal.so.20.10.1 lrwxrwxrwx 1 root root 22 Feb 5 2018 libopen-rte.so.20 -> libopen-rte.so.20.10.1 lrwxrwxrwx 1 root root 34 Feb 5 2018 libopen-rte.so.20.10.1 -> openmpi/lib/libopen-rte.so.20.10.1 lrwxrwxrwx 1 root root 22 Sep 19 2017 libopenblas.a -> libopenblasp-r0.2.20.a lrwxrwxrwx 1 root root 23 Sep 19 2017 libopenblas.so -> libopenblasp-r0.2.20.so lrwxrwxrwx 1 root root 23 Sep 19 2017 libopenblas.so.0 -> libopenblasp-r0.2.20.so -rw-r--r-- 1 root root 51M Sep 19 2017 libopenblasp-r0.2.20.a -rw-r--r-- 1 root root 33M Sep 19 2017 libopenblasp-r0.2.20.so -rw-r--r-- 1 root root 483K Sep 20 2018 libopencv_aruco.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_aruco.so -> libopencv_aruco.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_aruco.so.3.2 -> libopencv_aruco.so.3.2.0 -rw-r--r-- 1 root root 285K Sep 20 2018 libopencv_aruco.so.3.2.0 -rw-r--r-- 1 root root 116K Sep 20 2018 libopencv_bgsegm.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_bgsegm.so -> libopencv_bgsegm.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_bgsegm.so.3.2 -> libopencv_bgsegm.so.3.2.0 -rw-r--r-- 1 root root 51K Sep 20 2018 libopencv_bgsegm.so.3.2.0 -rw-r--r-- 1 root root 449K Sep 20 2018 libopencv_bioinspired.a lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_bioinspired.so -> libopencv_bioinspired.so.3.2 lrwxrwxrwx 1 root root 30 Sep 20 2018 libopencv_bioinspired.so.3.2 -> libopencv_bioinspired.so.3.2.0 -rw-r--r-- 1 root root 171K Sep 20 2018 libopencv_bioinspired.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_calib3d.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_calib3d.so -> libopencv_calib3d.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_calib3d.so.3.2 -> libopencv_calib3d.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_calib3d.so.3.2.0 -rw-r--r-- 1 root root 633K Sep 20 2018 libopencv_ccalib.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_ccalib.so -> libopencv_ccalib.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_ccalib.so.3.2 -> libopencv_ccalib.so.3.2.0 -rw-r--r-- 1 root root 363K Sep 20 2018 libopencv_ccalib.so.3.2.0 -rw-r--r-- 1 root root 4.6M Sep 20 2018 libopencv_core.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_core.so -> libopencv_core.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_core.so.3.2 -> libopencv_core.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_core.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_datasets.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_datasets.so -> libopencv_datasets.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_datasets.so.3.2 -> libopencv_datasets.so.3.2.0 -rw-r--r-- 1 root root 399K Sep 20 2018 libopencv_datasets.so.3.2.0 -rw-r--r-- 1 root root 206K Sep 20 2018 libopencv_dpm.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_dpm.so -> libopencv_dpm.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_dpm.so.3.2 -> libopencv_dpm.so.3.2.0 -rw-r--r-- 1 root root 99K Sep 20 2018 libopencv_dpm.so.3.2.0 -rw-r--r-- 1 root root 331K Sep 20 2018 libopencv_face.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_face.so -> libopencv_face.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_face.so.3.2 -> libopencv_face.so.3.2.0 -rw-r--r-- 1 root root 143K Sep 20 2018 libopencv_face.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_features2d.a lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_features2d.so -> libopencv_features2d.so.3.2 lrwxrwxrwx 1 root root 29 Sep 20 2018 libopencv_features2d.so.3.2 -> libopencv_features2d.so.3.2.0 -rw-r--r-- 1 root root 723K Sep 20 2018 libopencv_features2d.so.3.2.0 -rw-r--r-- 1 root root 1007K Sep 20 2018 libopencv_flann.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_flann.so -> libopencv_flann.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_flann.so.3.2 -> libopencv_flann.so.3.2.0 -rw-r--r-- 1 root root 319K Sep 20 2018 libopencv_flann.so.3.2.0 -rw-r--r-- 1 root root 43K Sep 20 2018 libopencv_freetype.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_freetype.so -> libopencv_freetype.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_freetype.so.3.2 -> libopencv_freetype.so.3.2.0 -rw-r--r-- 1 root root 27K Sep 20 2018 libopencv_freetype.so.3.2.0 -rw-r--r-- 1 root root 73K Sep 20 2018 libopencv_fuzzy.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_fuzzy.so -> libopencv_fuzzy.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_fuzzy.so.3.2 -> libopencv_fuzzy.so.3.2.0 -rw-r--r-- 1 root root 54K Sep 20 2018 libopencv_fuzzy.so.3.2.0 -rw-r--r-- 1 root root 75K Sep 20 2018 libopencv_hdf.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_hdf.so -> libopencv_hdf.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_hdf.so.3.2 -> libopencv_hdf.so.3.2.0 -rw-r--r-- 1 root root 39K Sep 20 2018 libopencv_hdf.so.3.2.0 -rw-r--r-- 1 root root 94K Sep 20 2018 libopencv_highgui.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_highgui.so -> libopencv_highgui.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_highgui.so.3.2 -> libopencv_highgui.so.3.2.0 -rw-r--r-- 1 root root 47K Sep 20 2018 libopencv_highgui.so.3.2.0 -rw-r--r-- 1 root root 756K Sep 20 2018 libopencv_imgcodecs.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_imgcodecs.so -> libopencv_imgcodecs.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_imgcodecs.so.3.2 -> libopencv_imgcodecs.so.3.2.0 -rw-r--r-- 1 root root 227K Sep 20 2018 libopencv_imgcodecs.so.3.2.0 -rw-r--r-- 1 root root 5.5M Sep 20 2018 libopencv_imgproc.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_imgproc.so -> libopencv_imgproc.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_imgproc.so.3.2 -> libopencv_imgproc.so.3.2.0 -rw-r--r-- 1 root root 2.8M Sep 20 2018 libopencv_imgproc.so.3.2.0 -rw-r--r-- 1 root root 312K Sep 20 2018 libopencv_line_descriptor.a lrwxrwxrwx 1 root root 32 Sep 20 2018 libopencv_line_descriptor.so -> libopencv_line_descriptor.so.3.2 lrwxrwxrwx 1 root root 34 Sep 20 2018 libopencv_line_descriptor.so.3.2 -> libopencv_line_descriptor.so.3.2.0 -rw-r--r-- 1 root root 159K Sep 20 2018 libopencv_line_descriptor.so.3.2.0 -rw-r--r-- 1 root root 1.5M Sep 20 2018 libopencv_ml.a lrwxrwxrwx 1 root root 19 Sep 20 2018 libopencv_ml.so -> libopencv_ml.so.3.2 lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_ml.so.3.2 -> libopencv_ml.so.3.2.0 -rw-r--r-- 1 root root 679K Sep 20 2018 libopencv_ml.so.3.2.0 -rw-r--r-- 1 root root 689K Sep 20 2018 libopencv_objdetect.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_objdetect.so -> libopencv_objdetect.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_objdetect.so.3.2 -> libopencv_objdetect.so.3.2.0 -rw-r--r-- 1 root root 343K Sep 20 2018 libopencv_objdetect.so.3.2.0 -rw-r--r-- 1 root root 648K Sep 20 2018 libopencv_optflow.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_optflow.so -> libopencv_optflow.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_optflow.so.3.2 -> libopencv_optflow.so.3.2.0 -rw-r--r-- 1 root root 327K Sep 20 2018 libopencv_optflow.so.3.2.0 -rw-r--r-- 1 root root 62K Sep 20 2018 libopencv_phase_unwrapping.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_phase_unwrapping.so -> libopencv_phase_unwrapping.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_phase_unwrapping.so.3.2 -> libopencv_phase_unwrapping.so.3.2.0 -rw-r--r-- 1 root root 35K Sep 20 2018 libopencv_phase_unwrapping.so.3.2.0 -rw-r--r-- 1 root root 1.5M Sep 20 2018 libopencv_photo.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_photo.so -> libopencv_photo.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_photo.so.3.2 -> libopencv_photo.so.3.2.0 -rw-r--r-- 1 root root 771K Sep 20 2018 libopencv_photo.so.3.2.0 -rw-r--r-- 1 root root 66K Sep 20 2018 libopencv_plot.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_plot.so -> libopencv_plot.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_plot.so.3.2 -> libopencv_plot.so.3.2.0 -rw-r--r-- 1 root root 43K Sep 20 2018 libopencv_plot.so.3.2.0 -rw-r--r-- 1 root root 268K Sep 20 2018 libopencv_reg.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_reg.so -> libopencv_reg.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_reg.so.3.2 -> libopencv_reg.so.3.2.0 -rw-r--r-- 1 root root 127K Sep 20 2018 libopencv_reg.so.3.2.0 -rw-r--r-- 1 root root 982K Sep 20 2018 libopencv_rgbd.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_rgbd.so -> libopencv_rgbd.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_rgbd.so.3.2 -> libopencv_rgbd.so.3.2.0 -rw-r--r-- 1 root root 535K Sep 20 2018 libopencv_rgbd.so.3.2.0 -rw-r--r-- 1 root root 353K Sep 20 2018 libopencv_saliency.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_saliency.so -> libopencv_saliency.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_saliency.so.3.2 -> libopencv_saliency.so.3.2.0 -rw-r--r-- 1 root root 179K Sep 20 2018 libopencv_saliency.so.3.2.0 -rw-r--r-- 1 root root 428K Sep 20 2018 libopencv_shape.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_shape.so -> libopencv_shape.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_shape.so.3.2 -> libopencv_shape.so.3.2.0 -rw-r--r-- 1 root root 187K Sep 20 2018 libopencv_shape.so.3.2.0 -rw-r--r-- 1 root root 327K Sep 20 2018 libopencv_stereo.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_stereo.so -> libopencv_stereo.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_stereo.so.3.2 -> libopencv_stereo.so.3.2.0 -rw-r--r-- 1 root root 123K Sep 20 2018 libopencv_stereo.so.3.2.0 -rw-r--r-- 1 root root 1.1M Sep 20 2018 libopencv_stitching.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_stitching.so -> libopencv_stitching.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_stitching.so.3.2 -> libopencv_stitching.so.3.2.0 -rw-r--r-- 1 root root 519K Sep 20 2018 libopencv_stitching.so.3.2.0 -rw-r--r-- 1 root root 156K Sep 20 2018 libopencv_structured_light.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_structured_light.so -> libopencv_structured_light.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_structured_light.so.3.2 -> libopencv_structured_light.so.3.2.0 -rw-r--r-- 1 root root 91K Sep 20 2018 libopencv_structured_light.so.3.2.0 -rw-r--r-- 1 root root 295K Sep 20 2018 libopencv_superres.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_superres.so -> libopencv_superres.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_superres.so.3.2 -> libopencv_superres.so.3.2.0 -rw-r--r-- 1 root root 151K Sep 20 2018 libopencv_superres.so.3.2.0 -rw-r--r-- 1 root root 1.1M Sep 20 2018 libopencv_surface_matching.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_surface_matching.so -> libopencv_surface_matching.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_surface_matching.so.3.2 -> libopencv_surface_matching.so.3.2.0 -rw-r--r-- 1 root root 259K Sep 20 2018 libopencv_surface_matching.so.3.2.0 -rw-r--r-- 1 root root 761K Sep 20 2018 libopencv_text.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_text.so -> libopencv_text.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_text.so.3.2 -> libopencv_text.so.3.2.0 -rw-r--r-- 1 root root 367K Sep 20 2018 libopencv_text.so.3.2.0 -rw-r--r-- 1 root root 1.6M Sep 20 2018 libopencv_ts.a -rw-r--r-- 1 root root 700K Sep 20 2018 libopencv_video.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_video.so -> libopencv_video.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_video.so.3.2 -> libopencv_video.so.3.2.0 -rw-r--r-- 1 root root 395K Sep 20 2018 libopencv_video.so.3.2.0 -rw-r--r-- 1 root root 488K Sep 20 2018 libopencv_videoio.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_videoio.so -> libopencv_videoio.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_videoio.so.3.2 -> libopencv_videoio.so.3.2.0 -rw-r--r-- 1 root root 211K Sep 20 2018 libopencv_videoio.so.3.2.0 -rw-r--r-- 1 root root 688K Sep 20 2018 libopencv_videostab.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_videostab.so -> libopencv_videostab.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_videostab.so.3.2 -> libopencv_videostab.so.3.2.0 -rw-r--r-- 1 root root 347K Sep 20 2018 libopencv_videostab.so.3.2.0 -rw-r--r-- 1 root root 1019K Sep 20 2018 libopencv_viz.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_viz.so -> libopencv_viz.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_viz.so.3.2 -> libopencv_viz.so.3.2.0 -rw-r--r-- 1 root root 363K Sep 20 2018 libopencv_viz.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_ximgproc.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_ximgproc.so -> libopencv_ximgproc.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_ximgproc.so.3.2 -> libopencv_ximgproc.so.3.2.0 -rw-r--r-- 1 root root 983K Sep 20 2018 libopencv_ximgproc.so.3.2.0 -rw-r--r-- 1 root root 186K Sep 20 2018 libopencv_xobjdetect.a lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_xobjdetect.so -> libopencv_xobjdetect.so.3.2 lrwxrwxrwx 1 root root 29 Sep 20 2018 libopencv_xobjdetect.so.3.2 -> libopencv_xobjdetect.so.3.2.0 -rw-r--r-- 1 root root 87K Sep 20 2018 libopencv_xobjdetect.so.3.2.0 -rw-r--r-- 1 root root 441K Sep 20 2018 libopencv_xphoto.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_xphoto.so -> libopencv_xphoto.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_xphoto.so.3.2 -> libopencv_xphoto.so.3.2.0 -rw-r--r-- 1 root root 220K Sep 20 2018 libopencv_xphoto.so.3.2.0 -rw-r--r-- 1 root root 343K Aug 20 2019 libopenjp2.so.2.3.0 lrwxrwxrwx 1 root root 19 Aug 20 2019 libopenjp2.so.7 -> libopenjp2.so.2.3.0 lrwxrwxrwx 1 root root 19 Feb 4 2018 libopenmpt.so.0 -> libopenmpt.so.0.1.1 -rw-r--r-- 1 root root 1.5M Feb 4 2018 libopenmpt.so.0.1.1 lrwxrwxrwx 1 root root 16 Feb 17 2016 libopus.so.0 -> libopus.so.0.5.2 -rw-r--r-- 1 root root 295K Feb 17 2016 libopus.so.0.5.2 lrwxrwxrwx 1 root root 32 Feb 5 2018 liboshmem.so.20 -> openmpi/lib/liboshmem.so.20.10.1 lrwxrwxrwx 1 root root 19 Jan 4 2021 libp11-kit.so.0 -> libp11-kit.so.0.3.0 -rw-r--r-- 1 root root 1.2M Jan 4 2021 libp11-kit.so.0.3.0 lrwxrwxrwx 1 root root 15 May 23 2018 libpanel.so.5 -> libpanel.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanel.so.5.9 lrwxrwxrwx 1 root root 16 May 23 2018 libpanelw.so.5 -> libpanelw.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanelw.so.5.9 lrwxrwxrwx 1 root root 25 Aug 21 2018 libpango-1.0.so.0 -> libpango-1.0.so.0.4000.14 -rw-r--r-- 1 root root 306K Aug 21 2018 libpango-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 30 Aug 21 2018 libpangocairo-1.0.so.0 -> libpangocairo-1.0.so.0.4000.14 -rw-r--r-- 1 root root 50K Aug 21 2018 libpangocairo-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 28 Aug 21 2018 libpangoft2-1.0.so.0 -> libpangoft2-1.0.so.0.4000.14 -rw-r--r-- 1 root root 86K Aug 21 2018 libpangoft2-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 20 Mar 24 2018 libpathplan.so -> libpathplan.so.4.0.0 lrwxrwxrwx 1 root root 20 Mar 24 2018 libpathplan.so.4 -> libpathplan.so.4.0.0 -rw-r--r-- 1 root root 31K Mar 24 2018 libpathplan.so.4.0.0 lrwxrwxrwx 1 root root 22 Mar 18 2018 libpciaccess.so.0 -> libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 35K Mar 18 2018 libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 615K May 17 2022 libpcre.a lrwxrwxrwx 1 root root 34 May 17 2022 libpcre.so -> /lib/x86_64-linux-gnu/libpcre.so.3 -rw-r--r-- 1 root root 576K May 17 2022 libpcre16.a lrwxrwxrwx 1 root root 19 May 17 2022 libpcre16.so -> libpcre16.so.3.13.3 lrwxrwxrwx 1 root root 19 May 17 2022 libpcre16.so.3 -> libpcre16.so.3.13.3 -rw-r--r-- 1 root root 410K May 17 2022 libpcre16.so.3.13.3 -rw-r--r-- 1 root root 558K May 17 2022 libpcre32.a lrwxrwxrwx 1 root root 19 May 17 2022 libpcre32.so -> libpcre32.so.3.13.3 lrwxrwxrwx 1 root root 19 May 17 2022 libpcre32.so.3 -> libpcre32.so.3.13.3 -rw-r--r-- 1 root root 390K May 17 2022 libpcre32.so.3.13.3 -rw-r--r-- 1 root root 51K May 17 2022 libpcrecpp.a lrwxrwxrwx 1 root root 19 May 17 2022 libpcrecpp.so -> libpcrecpp.so.0.0.1 lrwxrwxrwx 1 root root 19 May 17 2022 libpcrecpp.so.0 -> libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 34K May 17 2022 libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 6.6K May 17 2022 libpcreposix.a lrwxrwxrwx 1 root root 22 May 17 2022 libpcreposix.so -> libpcreposix.so.3.13.3 lrwxrwxrwx 1 root root 22 May 17 2022 libpcreposix.so.3 -> libpcreposix.so.3.13.3 -rw-r--r-- 1 root root 9.9K May 17 2022 libpcreposix.so.3.13.3 lrwxrwxrwx 1 root root 17 Oct 19 2020 libperl.so.5.26 -> libperl.so.5.26.1 -rw-r--r-- 1 root root 2.0M Oct 19 2020 libperl.so.5.26.1 lrwxrwxrwx 1 root root 21 Nov 4 15:10 libpixman-1.so.0 -> libpixman-1.so.0.34.0 -rw-r--r-- 1 root root 659K Nov 4 15:10 libpixman-1.so.0.34.0 -rw-r--r-- 1 root root 19K Feb 22 2018 libplc4.so -rw-r--r-- 1 root root 15K Feb 22 2018 libplds4.so lrwxrwxrwx 1 root root 10 Apr 30 2019 libpng.a -> libpng16.a lrwxrwxrwx 1 root root 11 Apr 30 2019 libpng.so -> libpng16.so -rw-r--r-- 1 root root 328K Apr 30 2019 libpng16.a lrwxrwxrwx 1 root root 19 Apr 30 2019 libpng16.so -> libpng16.so.16.34.0 lrwxrwxrwx 1 root root 19 Apr 30 2019 libpng16.so.16 -> libpng16.so.16.34.0 -rw-r--r-- 1 root root 198K Apr 30 2019 libpng16.so.16.34.0 lrwxrwxrwx 1 root root 20 Sep 14 16:46 libpoppler.so.73 -> libpoppler.so.73.0.0 -rw-r--r-- 1 root root 2.6M Sep 14 16:46 libpoppler.so.73.0.0 lrwxrwxrwx 1 root root 13 Aug 11 19:54 libpq.so.5 -> libpq.so.5.10 -rw-r--r-- 1 root root 290K Aug 11 19:54 libpq.so.5.10 lrwxrwxrwx 1 root root 17 Jun 18 2017 libproj.so.12 -> libproj.so.12.0.0 -rw-r--r-- 1 root root 420K Jun 18 2017 libproj.so.12.0.0 lrwxrwxrwx 1 root root 17 Dec 8 2020 libproxy.so.1 -> libproxy.so.1.0.0 -rw-r--r-- 1 root root 123K Dec 8 2020 libproxy.so.1.0.0 lrwxrwxrwx 1 root root 15 Mar 4 2018 libpsl.so.5 -> libpsl.so.5.2.0 -rw-r--r-- 1 root root 54K Mar 4 2018 libpsl.so.5.2.0 lrwxrwxrwx 1 root root 40 Dec 17 09:09 libpsm_infinipath.so.1 -> /etc/alternatives/libpsm_infinipath.so.1 -rw-r--r-- 1 root root 6.0M Jan 24 2022 libpthread.a -rw-r--r-- 1 root root 252 Jan 24 2022 libpthread.so -rw-r--r-- 1 root root 29K Jan 24 2022 libpthread_nonshared.a lrwxrwxrwx 1 root root 19 Nov 28 18:51 libpython2.7.so.1 -> libpython2.7.so.1.0 -rw-r--r-- 1 root root 3.4M Nov 28 18:51 libpython2.7.so.1.0 lrwxrwxrwx 1 root root 20 Nov 25 14:10 libpython3.6m.so.1 -> libpython3.6m.so.1.0 -rw-r--r-- 1 root root 4.5M Nov 25 14:10 libpython3.6m.so.1.0 lrwxrwxrwx 1 root root 17 Dec 9 2017 libqhull.so.7 -> libqhull.so.7.2.0 -rw-r--r-- 1 root root 358K Dec 9 2017 libqhull.so.7.2.0 lrwxrwxrwx 1 root root 20 Mar 10 2020 libquadmath.so.0 -> libquadmath.so.0.0.0 -rw-r--r-- 1 root root 256K Mar 10 2020 libquadmath.so.0.0.0 -rw-r--r-- 1 root root 91K Apr 26 2016 libraw1394.a -rw-r--r-- 1 root root 969 Apr 26 2016 libraw1394.la lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so -> libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so.11 -> libraw1394.so.11.1.0 -rw-r--r-- 1 root root 59K Apr 26 2016 libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 21 Aug 5 2019 librdmacm.so.1 -> librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 87K Aug 5 2019 librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 136K Jan 24 2022 libresolv.a lrwxrwxrwx 1 root root 36 Jan 24 2022 libresolv.so -> /lib/x86_64-linux-gnu/libresolv.so.2 lrwxrwxrwx 1 root root 20 Oct 24 2016 librest-0.7.so.0 -> librest-0.7.so.0.0.0 -rw-r--r-- 1 root root 88K Oct 24 2016 librest-0.7.so.0.0.0 lrwxrwxrwx 1 root root 18 Dec 15 2017 libroken.so.18 -> libroken.so.18.1.0 -rw-r--r-- 1 root root 87K Dec 15 2017 libroken.so.18.1.0 -rw-r--r-- 1 root root 52K Jan 24 2022 librpcsvc.a lrwxrwxrwx 1 root root 20 Jul 28 2020 librsvg-2.so.2 -> librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 223K Jul 28 2020 librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 76K Jan 24 2022 librt.a lrwxrwxrwx 1 root root 32 Jan 24 2022 librt.so -> /lib/x86_64-linux-gnu/librt.so.1 -rw-r--r-- 1 root root 111K Apr 27 2016 librtmp.so.1 lrwxrwxrwx 1 root root 18 Feb 15 2022 libsasl2.so.2 -> libsasl2.so.2.0.25 -rw-r--r-- 1 root root 107K Feb 15 2022 libsasl2.so.2.0.25 -rw-r--r-- 1 root root 251K Mar 1 2018 libsemanage.so.1 lrwxrwxrwx 1 root root 19 Mar 31 2022 libsensors.so.4 -> libsensors.so.4.4.0 -rw-r--r-- 1 root root 59K Mar 31 2022 libsensors.so.4.4.0 lrwxrwxrwx 1 root root 17 Aug 6 2017 libshine.so.3 -> libshine.so.3.0.1 -rw-r--r-- 1 root root 43K Aug 6 2017 libshine.so.3.0.1 -rw-r--r-- 1 root root 181K Jul 6 2022 libsmime3.so lrwxrwxrwx 1 root root 18 Sep 5 2017 libsnappy.so.1 -> libsnappy.so.1.1.7 -rw-r--r-- 1 root root 31K Sep 5 2017 libsnappy.so.1.1.7 lrwxrwxrwx 1 root root 20 Oct 5 2017 libsocket++.so.1 -> libsocket++.so.1.0.2 -rw-r--r-- 1 root root 132K Oct 5 2017 libsocket++.so.1.0.2 lrwxrwxrwx 1 root root 20 Oct 9 2019 libsoup-2.4.so.1 -> libsoup-2.4.so.1.8.0 -rw-r--r-- 1 root root 971K Oct 9 2019 libsoup-2.4.so.1.8.0 lrwxrwxrwx 1 root root 26 Oct 9 2019 libsoup-gnome-2.4.so.1 -> libsoup-gnome-2.4.so.1.8.0 -rw-r--r-- 1 root root 9.9K Oct 9 2019 libsoup-gnome-2.4.so.1.8.0 lrwxrwxrwx 1 root root 16 Nov 4 2017 libsoxr.so.0 -> libsoxr.so.0.1.1 -rw-r--r-- 1 root root 183K Nov 4 2017 libsoxr.so.0.1.1 lrwxrwxrwx 1 root root 22 Nov 17 2016 libspatialite.so.7 -> libspatialite.so.7.1.0 -rw-r--r-- 1 root root 5.6M Nov 17 2016 libspatialite.so.7.1.0 lrwxrwxrwx 1 root root 17 Feb 8 2022 libspeex.so.1 -> libspeex.so.1.5.0 -rw-r--r-- 1 root root 102K Feb 8 2022 libspeex.so.1.5.0 lrwxrwxrwx 1 root root 19 Jun 8 2020 libsqlite3.so.0 -> libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 1.1M Jun 8 2020 libsqlite3.so.0.8.6 lrwxrwxrwx 1 root root 22 Jul 31 2020 libssh-gcrypt.so.4 -> libssh-gcrypt.so.4.5.0 -rw-r--r-- 1 root root 465K Jul 31 2020 libssh-gcrypt.so.4.5.0 lrwxrwxrwx 1 root root 30 Jul 31 2020 libssh-gcrypt_threads.so.4 -> libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 6.0K Jul 31 2020 libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 415K Jun 20 2022 libssl.so.1.0.0 -rw-r--r-- 1 root root 564K Mar 9 2022 libssl.so.1.1 -rw-r--r-- 1 root root 321K Jul 6 2022 libssl3.so lrwxrwxrwx 1 root root 19 Mar 10 2020 libstdc++.so.6 -> libstdc++.so.6.0.25 -rw-r--r-- 1 root root 1.6M Mar 10 2020 libstdc++.so.6.0.25 lrwxrwxrwx 1 root root 19 Nov 6 2017 libsuperlu.so.5 -> libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 447K Nov 6 2017 libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 220K May 18 2022 libswresample.a lrwxrwxrwx 1 root root 24 May 18 2022 libswresample.so -> libswresample.so.2.9.100 lrwxrwxrwx 1 root root 24 May 18 2022 libswresample.so.2 -> libswresample.so.2.9.100 -rw-r--r-- 1 root root 122K May 18 2022 libswresample.so.2.9.100 -rw-r--r-- 1 root root 780K May 18 2022 libswscale.a lrwxrwxrwx 1 root root 21 May 18 2022 libswscale.so -> libswscale.so.4.8.100 lrwxrwxrwx 1 root root 21 May 18 2022 libswscale.so.4 -> libswscale.so.4.8.100 -rw-r--r-- 1 root root 538K May 18 2022 libswscale.so.4.8.100 lrwxrwxrwx 1 root root 14 Jul 28 2017 libsz.so.2 -> libsz.so.2.0.1 -rw-r--r-- 1 root root 9.9K Jul 28 2017 libsz.so.2.0.1 lrwxrwxrwx 1 root root 17 Jan 21 2018 libtasn1.so.6 -> libtasn1.so.6.5.5 -rw-r--r-- 1 root root 74K Jan 21 2018 libtasn1.so.6.5.5 lrwxrwxrwx 1 root root 11 Oct 4 2017 libtbb.so -> libtbb.so.2 -rw-r--r-- 1 root root 230K Oct 4 2017 libtbb.so.2 lrwxrwxrwx 1 root root 17 Oct 4 2017 libtbbmalloc.so -> libtbbmalloc.so.2 -rw-r--r-- 1 root root 110K Oct 4 2017 libtbbmalloc.so.2 lrwxrwxrwx 1 root root 23 Oct 4 2017 libtbbmalloc_proxy.so -> libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 11K Oct 4 2017 libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 1.7M Feb 22 2018 libtcl8.6.so lrwxrwxrwx 1 root root 12 Feb 22 2018 libtcl8.6.so.0 -> libtcl8.6.so lrwxrwxrwx 1 root root 21 Apr 7 2018 libtesseract.so.4 -> libtesseract.so.4.0.0 -rw-r--r-- 1 root root 3.1M Apr 7 2018 libtesseract.so.4.0.0 lrwxrwxrwx 1 root root 16 Feb 16 2018 libthai.so.0 -> libthai.so.0.3.0 -rw-r--r-- 1 root root 37K Feb 16 2018 libthai.so.0.3.0 lrwxrwxrwx 1 root root 19 May 27 2016 libtheora.so.0 -> libtheora.so.0.3.10 -rw-r--r-- 1 root root 327K May 27 2016 libtheora.so.0.3.10 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoradec.so.1 -> libtheoradec.so.1.1.4 -rw-r--r-- 1 root root 119K May 27 2016 libtheoradec.so.1.1.4 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoraenc.so.1 -> libtheoraenc.so.1.1.2 -rw-r--r-- 1 root root 251K May 27 2016 libtheoraenc.so.1.1.2 lrwxrwxrwx 1 root root 39 Jan 24 2022 libthread_db.so -> /lib/x86_64-linux-gnu/libthread_db.so.1 lrwxrwxrwx 1 root root 13 May 23 2018 libtic.so.5 -> libtic.so.5.9 -rw-r--r-- 1 root root 62K May 23 2018 libtic.so.5.9 -rw-r--r-- 1 root root 753K Dec 1 09:22 libtiff.a lrwxrwxrwx 1 root root 16 Dec 1 09:22 libtiff.so -> libtiff.so.5.3.0 lrwxrwxrwx 1 root root 16 Dec 1 09:22 libtiff.so.5 -> libtiff.so.5.3.0 -rw-r--r-- 1 root root 479K Dec 1 09:22 libtiff.so.5.3.0 -rw-r--r-- 1 root root 8.5K Dec 1 09:22 libtiffxx.a lrwxrwxrwx 1 root root 18 Dec 1 09:22 libtiffxx.so -> libtiffxx.so.5.3.0 lrwxrwxrwx 1 root root 18 Dec 1 09:22 libtiffxx.so.5 -> libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 10K Dec 1 09:22 libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 1.4M Mar 24 2018 libtk8.6.so lrwxrwxrwx 1 root root 11 Mar 24 2018 libtk8.6.so.0 -> libtk8.6.so lrwxrwxrwx 1 root root 16 Mar 10 2020 libtsan.so.0 -> libtsan.so.0.0.0 -rw-r--r-- 1 root root 942K Mar 10 2020 libtsan.so.0.0.0 -rw-r--r-- 1 root root 3.6K Mar 10 2020 libtsan_preinit.o lrwxrwxrwx 1 root root 19 Aug 29 2017 libtwolame.so.0 -> libtwolame.so.0.0.0 -rw-r--r-- 1 root root 122K Aug 29 2017 libtwolame.so.0.0.0 lrwxrwxrwx 1 root root 17 Dec 4 2019 libubsan.so.0 -> libubsan.so.0.0.0 -rw-r--r-- 1 root root 322K Dec 4 2019 libubsan.so.0.0.0 lrwxrwxrwx 1 root root 21 Mar 21 2019 libunistring.so.2 -> libunistring.so.2.1.0 -rw-r--r-- 1 root root 1.5M Mar 21 2019 libunistring.so.2.1.0 lrwxrwxrwx 1 root root 22 Jul 12 13:52 liburiparser.so.1 -> liburiparser.so.1.0.20 -rw-r--r-- 1 root root 110K Jul 12 13:52 liburiparser.so.1.0.20 -rw-r--r-- 1 root root 15K Jan 24 2022 libutil.a lrwxrwxrwx 1 root root 34 Jan 24 2022 libutil.so -> /lib/x86_64-linux-gnu/libutil.so.1 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-drm.so.2 -> libva-drm.so.2.100.0 -rw-r--r-- 1 root root 11K Apr 3 2018 libva-drm.so.2.100.0 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-x11.so.2 -> libva-x11.so.2.100.0 -rw-r--r-- 1 root root 23K Apr 3 2018 libva-x11.so.2.100.0 lrwxrwxrwx 1 root root 16 Apr 3 2018 libva.so.2 -> libva.so.2.100.0 -rw-r--r-- 1 root root 131K Apr 3 2018 libva.so.2.100.0 lrwxrwxrwx 1 root root 17 Feb 19 2016 libvdpau.so.1 -> libvdpau.so.1.0.0 -rw-r--r-- 1 root root 15K Feb 19 2016 libvdpau.so.1.0.0 lrwxrwxrwx 1 root root 18 Mar 16 2018 libvorbis.so.0 -> libvorbis.so.0.4.8 -rw-r--r-- 1 root root 171K Mar 16 2018 libvorbis.so.0.4.8 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisenc.so.2 -> libvorbisenc.so.2.0.11 -rw-r--r-- 1 root root 675K Mar 16 2018 libvorbisenc.so.2.0.11 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisfile.so.3 -> libvorbisfile.so.3.3.7 -rw-r--r-- 1 root root 31K Mar 16 2018 libvorbisfile.so.3.3.7 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5 -> libvpx.so.5.0.0 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5.0 -> libvpx.so.5.0.0 -rw-r--r-- 1 root root 2.3M Nov 19 2019 libvpx.so.5.0.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkChartsCore-6.3.so.6.3 -> libvtkChartsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.4M Dec 17 2017 libvtkChartsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3 -> libvtkChartsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 939K Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3 -> libvtkChartsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 573K Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkCommonColor-6.3.so.6.3 -> libvtkCommonColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkCommonColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3 -> libvtkCommonColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 70K Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3 -> libvtkCommonColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3 -> libvtkCommonComputationalGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3 -> libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3 -> libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 259K Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonCore-6.3.so.6.3 -> libvtkCommonCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkCommonCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3 -> libvtkCommonCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.0M Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3 -> libvtkCommonCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3 -> libvtkCommonDataModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.4M Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3 -> libvtkCommonDataModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3 -> libvtkCommonDataModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3 -> libvtkCommonExecutionModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 669K Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3 -> libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3 -> libvtkCommonExecutionModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 474K Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMath-6.3.so.6.3 -> libvtkCommonMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 128K Dec 17 2017 libvtkCommonMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3 -> libvtkCommonMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 347K Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3 -> libvtkCommonMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMisc-6.3.so.6.3 -> libvtkCommonMisc-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMisc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3 -> libvtkCommonMiscPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3 -> libvtkCommonMiscTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkCommonSystem-6.3.so.6.3 -> libvtkCommonSystem-6.3.so.6.3.0 -rw-r--r-- 1 root root 76K Dec 17 2017 libvtkCommonSystem-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3 -> libvtkCommonSystemPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3 -> libvtkCommonSystemTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3 -> libvtkCommonTransforms-6.3.so.6.3.0 -rw-r--r-- 1 root root 184K Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3 -> libvtkCommonTransformsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 263K Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3 -> libvtkCommonTransformsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 200K Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkDICOMParser-6.3.so.6.3 -> libvtkDICOMParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 96K Dec 17 2017 libvtkDICOMParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3 -> libvtkDomainsChemistry-6.3.so.6.3.0 -rw-r--r-- 1 root root 293K Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3 -> libvtkDomainsChemistryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3 -> libvtkDomainsChemistryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3 -> libvtkFiltersAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 273K Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3 -> libvtkFiltersAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3 -> libvtkFiltersAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkFiltersCore-6.3.so.6.3 -> libvtkFiltersCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.9M Dec 17 2017 libvtkFiltersCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3 -> libvtkFiltersCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.6M Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3 -> libvtkFiltersCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3 -> libvtkFiltersExtraction-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3 -> libvtkFiltersExtractionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 497K Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3 -> libvtkFiltersExtractionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 360K Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3 -> libvtkFiltersFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 473K Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 495K Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 264K Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3 -> libvtkFiltersGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3 -> libvtkFiltersGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3 -> libvtkFiltersGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3 -> libvtkFiltersGeneric-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3 -> libvtkFiltersGenericPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 391K Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3 -> libvtkFiltersGenericTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3 -> libvtkFiltersGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 546K Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3 -> libvtkFiltersGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3 -> libvtkFiltersGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3 -> libvtkFiltersHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 867K Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3 -> libvtkFiltersHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 701K Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3 -> libvtkFiltersHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 432K Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3 -> libvtkFiltersHyperTree-6.3.so.6.3.0 -rw-r--r-- 1 root root 297K Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3 -> libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 218K Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3 -> libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3 -> libvtkFiltersImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3 -> libvtkFiltersImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 111K Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3 -> libvtkFiltersImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3 -> libvtkFiltersModeling-6.3.so.6.3.0 -rw-r--r-- 1 root root 481K Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3 -> libvtkFiltersModelingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 607K Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3 -> libvtkFiltersModelingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 388K Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3 -> libvtkFiltersParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 860K Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3 -> libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 232K Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 52 Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3 -> libvtkFiltersParallelGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 265K Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 51 Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3 -> libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3 -> libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3 -> libvtkFiltersParallelImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 140K Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3 -> libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 45K Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3 -> libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3 -> libvtkFiltersParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 237K Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3 -> libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 94K Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3 -> libvtkFiltersParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3 -> libvtkFiltersParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 484K Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3 -> libvtkFiltersParallelStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 53 Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 74K Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3 -> libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3 -> libvtkFiltersParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 380K Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3 -> libvtkFiltersProgrammable-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3 -> libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3 -> libvtkFiltersProgrammableTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersPython-6.3.so.6.3 -> libvtkFiltersPython-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkFiltersPython-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3 -> libvtkFiltersPythonPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3 -> libvtkFiltersReebGraph-6.3.so.6.3.0 -rw-r--r-- 1 root root 108K Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3 -> libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3 -> libvtkFiltersReebGraphTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3 -> libvtkFiltersSMP-6.3.so.6.3.0 -rw-r--r-- 1 root root 407K Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3 -> libvtkFiltersSMPPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3 -> libvtkFiltersSMPTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3 -> libvtkFiltersSelection-6.3.so.6.3.0 -rw-r--r-- 1 root root 100K Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3 -> libvtkFiltersSelectionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 109K Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3 -> libvtkFiltersSelectionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 83K Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersSources-6.3.so.6.3 -> libvtkFiltersSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 773K Dec 17 2017 libvtkFiltersSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3 -> libvtkFiltersSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.2M Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3 -> libvtkFiltersSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 760K Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3 -> libvtkFiltersStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3 -> libvtkFiltersStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 224K Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3 -> libvtkFiltersTexture-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3 -> libvtkFiltersTexturePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 219K Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3 -> libvtkFiltersTextureTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 167K Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3 -> libvtkFiltersVerdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 124K Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3 -> libvtkFiltersVerdictPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 267K Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3 -> libvtkFiltersVerdictTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkGeovisCore-6.3.so.6.3 -> libvtkGeovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 707K Dec 17 2017 libvtkGeovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3 -> libvtkGeovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 555K Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3 -> libvtkGeovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 392K Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOAMR-6.3.so.6.3 -> libvtkIOAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 282K Dec 17 2017 libvtkIOAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3 -> libvtkIOAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3 -> libvtkIOAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOCore-6.3.so.6.3 -> libvtkIOCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 458K Dec 17 2017 libvtkIOCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3 -> libvtkIOCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 322K Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3 -> libvtkIOCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOEnSight-6.3.so.6.3 -> libvtkIOEnSight-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkIOEnSight-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3 -> libvtkIOEnSightPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 141K Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3 -> libvtkIOEnSightTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExodus-6.3.so.6.3 -> libvtkIOExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 660K Dec 17 2017 libvtkIOExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3 -> libvtkIOExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 385K Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3 -> libvtkIOExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExport-6.3.so.6.3 -> libvtkIOExport-6.3.so.6.3.0 -rw-r--r-- 1 root root 513K Dec 17 2017 libvtkIOExport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3 -> libvtkIOExportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3 -> libvtkIOExportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3 -> libvtkIOFFMPEG-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3 -> libvtkIOFFMPEGPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3 -> libvtkIOFFMPEGTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 31K Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOGDAL-6.3.so.6.3 -> libvtkIOGDAL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkIOGDAL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3 -> libvtkIOGDALPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 60K Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3 -> libvtkIOGDALTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3 -> libvtkIOGeoJSON-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3 -> libvtkIOGeoJSONPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3 -> libvtkIOGeoJSONTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOGeometry-6.3.so.6.3 -> libvtkIOGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkIOGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3 -> libvtkIOGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3 -> libvtkIOGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 400K Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOImage-6.3.so.6.3 -> libvtkIOImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.6M Dec 17 2017 libvtkIOImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3 -> libvtkIOImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3 -> libvtkIOImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 540K Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOImport-6.3.so.6.3 -> libvtkIOImport-6.3.so.6.3.0 -rw-r--r-- 1 root root 276K Dec 17 2017 libvtkIOImport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3 -> libvtkIOImportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 57K Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3 -> libvtkIOImportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOInfovis-6.3.so.6.3 -> libvtkIOInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 562K Dec 17 2017 libvtkIOInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3 -> libvtkIOInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3 -> libvtkIOInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3 -> libvtkIOLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 313K Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3 -> libvtkIOLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 130K Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3 -> libvtkIOLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLegacy-6.3.so.6.3 -> libvtkIOLegacy-6.3.so.6.3.0 -rw-r--r-- 1 root root 655K Dec 17 2017 libvtkIOLegacy-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3 -> libvtkIOLegacyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 354K Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3 -> libvtkIOLegacyTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOMINC-6.3.so.6.3 -> libvtkIOMINC-6.3.so.6.3.0 -rw-r--r-- 1 root root 450K Dec 17 2017 libvtkIOMINC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3 -> libvtkIOMINCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 214K Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3 -> libvtkIOMINCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3 -> libvtkIOMPIImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 161K Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3 -> libvtkIOMPIImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3 -> libvtkIOMPIImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3 -> libvtkIOMPIParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 217K Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3 -> libvtkIOMPIParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3 -> libvtkIOMPIParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMovie-6.3.so.6.3 -> libvtkIOMovie-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOMovie-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3 -> libvtkIOMoviePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 49K Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3 -> libvtkIOMovieTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMySQL-6.3.so.6.3 -> libvtkIOMySQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 144K Dec 17 2017 libvtkIOMySQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3 -> libvtkIOMySQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3 -> libvtkIOMySQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIONetCDF-6.3.so.6.3 -> libvtkIONetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 410K Dec 17 2017 libvtkIONetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3 -> libvtkIONetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 201K Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3 -> libvtkIONetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOODBC-6.3.so.6.3 -> libvtkIOODBC-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkIOODBC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3 -> libvtkIOODBCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3 -> libvtkIOODBCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOPLY-6.3.so.6.3 -> libvtkIOPLY-6.3.so.6.3.0 -rw-r--r-- 1 root root 97K Dec 17 2017 libvtkIOPLY-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3 -> libvtkIOPLYPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3 -> libvtkIOPLYTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOParallel-6.3.so.6.3 -> libvtkIOParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 526K Dec 17 2017 libvtkIOParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3 -> libvtkIOParallelExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3 -> libvtkIOParallelExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3 -> libvtkIOParallelExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3 -> libvtkIOParallelLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3 -> libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3 -> libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3 -> libvtkIOParallelNetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 113K Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3 -> libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3 -> libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3 -> libvtkIOParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 221K Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3 -> libvtkIOParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3 -> libvtkIOParallelXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 204K Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3 -> libvtkIOParallelXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3 -> libvtkIOParallelXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3 -> libvtkIOPostgreSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 160K Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3 -> libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3 -> libvtkIOPostgreSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOSQL-6.3.so.6.3 -> libvtkIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 277K Dec 17 2017 libvtkIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3 -> libvtkIOSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 202K Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3 -> libvtkIOSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOVPIC-6.3.so.6.3 -> libvtkIOVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3 -> libvtkIOVPICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3 -> libvtkIOVPICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOVideo-6.3.so.6.3 -> libvtkIOVideo-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOVideo-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3 -> libvtkIOVideoPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3 -> libvtkIOVideoTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOXML-6.3.so.6.3 -> libvtkIOXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkIOXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3 -> libvtkIOXMLParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3 -> libvtkIOXMLParserPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3 -> libvtkIOXMLParserTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 51K Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3 -> libvtkIOXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 375K Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3 -> libvtkIOXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 304K Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3 -> libvtkIOXdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 335K Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3 -> libvtkIOXdmf2Python27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 93K Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3 -> libvtkIOXdmfIITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkImagingColor-6.3.so.6.3 -> libvtkImagingColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkImagingColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3 -> libvtkImagingColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3 -> libvtkImagingColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingCore-6.3.so.6.3 -> libvtkImagingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkImagingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3 -> libvtkImagingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 934K Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3 -> libvtkImagingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 625K Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingFourier-6.3.so.6.3 -> libvtkImagingFourier-6.3.so.6.3.0 -rw-r--r-- 1 root root 187K Dec 17 2017 libvtkImagingFourier-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3 -> libvtkImagingFourierPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3 -> libvtkImagingFourierTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3 -> libvtkImagingGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3 -> libvtkImagingGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 378K Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3 -> libvtkImagingGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 348K Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3 -> libvtkImagingHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 505K Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3 -> libvtkImagingHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 539K Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3 -> libvtkImagingHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 315K Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingMath-6.3.so.6.3 -> libvtkImagingMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkImagingMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3 -> libvtkImagingMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3 -> libvtkImagingMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3 -> libvtkImagingMorphological-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3 -> libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3 -> libvtkImagingMorphologicalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingSources-6.3.so.6.3 -> libvtkImagingSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 331K Dec 17 2017 libvtkImagingSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3 -> libvtkImagingSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 253K Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3 -> libvtkImagingSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3 -> libvtkImagingStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3 -> libvtkImagingStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 138K Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3 -> libvtkImagingStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingStencil-6.3.so.6.3 -> libvtkImagingStencil-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkImagingStencil-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3 -> libvtkImagingStencilPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 147K Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3 -> libvtkImagingStencilTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 -rw-r--r-- 1 root root 477K Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkInfovisCore-6.3.so.6.3 -> libvtkInfovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1008K Dec 17 2017 libvtkInfovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3 -> libvtkInfovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 752K Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3 -> libvtkInfovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3 -> libvtkInfovisLayout-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3 -> libvtkInfovisLayoutPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 897K Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3 -> libvtkInfovisLayoutTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 600K Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInteractionImage-6.3.so.6.3 -> libvtkInteractionImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkInteractionImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkInteractionImagePython27D-6.3.so.6.3 -> libvtkInteractionImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 144K Dec 17 2017 libvtkInteractionImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkInteractionImageTCL-6.3.so.6.3 -> libvtkInteractionImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkInteractionImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInteractionStyle-6.3.so.6.3 -> libvtkInteractionStyle-6.3.so.6.3.0 -rw-r--r-- 1 root root 537K Dec 17 2017 libvtkInteractionStyle-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkInteractionStylePython27D-6.3.so.6.3 -> libvtkInteractionStylePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 349K Dec 17 2017 libvtkInteractionStylePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkInteractionStyleTCL-6.3.so.6.3 -> libvtkInteractionStyleTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 219K Dec 17 2017 libvtkInteractionStyleTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkInteractionWidgets-6.3.so.6.3 -> libvtkInteractionWidgets-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkInteractionWidgets-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3 -> libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3 -> libvtkInteractionWidgetsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.1M Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkLocalExample-6.3.so.6.3 -> libvtkLocalExample-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExample-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3 -> libvtkLocalExampleTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkParallelCore-6.3.so.6.3 -> libvtkParallelCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 305K Dec 17 2017 libvtkParallelCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3 -> libvtkParallelCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 376K Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3 -> libvtkParallelCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkParallelMPI-6.3.so.6.3 -> libvtkParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 149K Dec 17 2017 libvtkParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3 -> libvtkParallelMPI4Py-6.3.so.6.3.0 -rw-r--r-- 1 root root 68K Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3 -> libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3 -> libvtkParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3 -> libvtkParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3 -> libvtkPythonInterpreter-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3 -> libvtkPythonInterpreterPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3 -> libvtkPythonInterpreterTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3 -> libvtkRenderingAnnotation-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.3M Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3 -> libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3 -> libvtkRenderingAnnotationTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3 -> libvtkRenderingContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 252K Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3 -> libvtkRenderingContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3 -> libvtkRenderingContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3 -> libvtkRenderingContextOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 196K Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3 -> libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkRenderingCore-6.3.so.6.3 -> libvtkRenderingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.5M Dec 17 2017 libvtkRenderingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3 -> libvtkRenderingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3 -> libvtkRenderingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3 -> libvtkRenderingExternal-6.3.so.6.3.0 -rw-r--r-- 1 root root 236K Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3 -> libvtkRenderingExternalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3 -> libvtkRenderingExternalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3 -> libvtkRenderingFreeType-6.3.so.6.3.0 -rw-r--r-- 1 root root 781K Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3 -> libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3 -> libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3 -> libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3 -> libvtkRenderingGL2PS-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3 -> libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3 -> libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingImage-6.3.so.6.3 -> libvtkRenderingImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkRenderingImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3 -> libvtkRenderingImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3 -> libvtkRenderingImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3 -> libvtkRenderingLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 647K Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3 -> libvtkRenderingLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 164K Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3 -> libvtkRenderingLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3 -> libvtkRenderingLOD-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3 -> libvtkRenderingLODPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3 -> libvtkRenderingLODTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3 -> libvtkRenderingLabel-6.3.so.6.3.0 -rw-r--r-- 1 root root 689K Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3 -> libvtkRenderingLabelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 434K Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3 -> libvtkRenderingLabelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 239K Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3 -> libvtkRenderingMatplotlib-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3 -> libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3 -> libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3 -> libvtkRenderingOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.7M Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 983K Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3 -> libvtkRenderingOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 711K Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3 -> libvtkRenderingParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3 -> libvtkRenderingParallelLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3 -> libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3 -> libvtkRenderingParallelLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3 -> libvtkRenderingParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 284K Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3 -> libvtkRenderingParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 179K Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3 -> libvtkRenderingTkTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 104K Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3 -> libvtkRenderingVolume-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3 -> libvtkRenderingVolumeAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3 -> libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3 -> libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3 -> libvtkRenderingVolumePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3 -> libvtkRenderingVolumeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 620K Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3 -> libvtkTestingGenericBridge-6.3.so.6.3.0 -rw-r--r-- 1 root root 132K Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3 -> libvtkTestingIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkTestingRendering-6.3.so.6.3 -> libvtkTestingRendering-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkTestingRendering-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3 -> libvtkTestingRenderingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3 -> libvtkTestingRenderingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkVPIC-6.3.so.6.3 -> libvtkVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3 -> libvtkViewsContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3 -> libvtkViewsContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3 -> libvtkViewsContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkViewsCore-6.3.so.6.3 -> libvtkViewsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 172K Dec 17 2017 libvtkViewsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3 -> libvtkViewsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3 -> libvtkViewsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 119K Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3 -> libvtkViewsGeovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3 -> libvtkViewsGeovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3 -> libvtkViewsGeovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3 -> libvtkViewsInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3 -> libvtkViewsInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 927K Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3 -> libvtkViewsInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 565K Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkWrappingJava-6.3.so.6.3 -> libvtkWrappingJava-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkWrappingJava-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3 -> libvtkWrappingPython27Core-6.3.so.6.3.0 -rw-r--r-- 1 root root 180K Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkalglib-6.3.so.6.3 -> libvtkalglib-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkalglib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkexoIIc-6.3.so.6.3 -> libvtkexoIIc-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkexoIIc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkftgl-6.3.so.6.3 -> libvtkftgl-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkftgl-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkmetaio-6.3.so.6.3 -> libvtkmetaio-6.3.so.6.3.0 -rw-r--r-- 1 root root 591K Dec 17 2017 libvtkmetaio-6.3.so.6.3.0 lrwxrwxrwx 1 root root 22 Dec 17 2017 libvtksys-6.3.so.6.3 -> libvtksys-6.3.so.6.3.0 -rw-r--r-- 1 root root 278K Dec 17 2017 libvtksys-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkverdict-6.3.so.6.3 -> libvtkverdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 195K Dec 17 2017 libvtkverdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkxdmf2-6.3.so.6.3 -> libvtkxdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 472K Dec 17 2017 libvtkxdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 19 Jan 5 2021 libwavpack.so.1 -> libwavpack.so.1.2.0 -rw-r--r-- 1 root root 167K Jan 5 2021 libwavpack.so.1.2.0 lrwxrwxrwx 1 root root 26 Sep 14 13:57 libwayland-client.so.0 -> libwayland-client.so.0.3.0 -rw-r--r-- 1 root root 60K Sep 14 13:57 libwayland-client.so.0.3.0 lrwxrwxrwx 1 root root 26 Sep 14 13:57 libwayland-cursor.so.0 -> libwayland-cursor.so.0.0.0 -rw-r--r-- 1 root root 31K Sep 14 13:57 libwayland-cursor.so.0.0.0 lrwxrwxrwx 1 root root 23 Sep 14 13:57 libwayland-egl.so.1 -> libwayland-egl.so.1.0.0 -rw-r--r-- 1 root root 5.9K Sep 14 13:57 libwayland-egl.so.1.0.0 lrwxrwxrwx 1 root root 16 May 20 2021 libwebp.so.6 -> libwebp.so.6.0.2 -rw-r--r-- 1 root root 411K May 20 2021 libwebp.so.6.0.2 lrwxrwxrwx 1 root root 19 May 20 2021 libwebpmux.so.3 -> libwebpmux.so.3.0.1 -rw-r--r-- 1 root root 39K May 20 2021 libwebpmux.so.3.0.1 lrwxrwxrwx 1 root root 16 Dec 15 2017 libwind.so.0 -> libwind.so.0.0.0 -rw-r--r-- 1 root root 162K Dec 15 2017 libwind.so.0.0.0 -rw-r--r-- 1 root root 1.2M Jan 19 2018 libx264.so.152 -rw-r--r-- 1 root root 11M Dec 31 2017 libx265.so.146 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri2.so.0 -> libxcb-dri2.so.0.0.0 -rw-r--r-- 1 root root 19K Jun 21 2018 libxcb-dri2.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri3.so.0 -> libxcb-dri3.so.0.0.0 -rw-r--r-- 1 root root 15K Jun 21 2018 libxcb-dri3.so.0.0.0 lrwxrwxrwx 1 root root 19 Jun 21 2018 libxcb-glx.so.0 -> libxcb-glx.so.0.0.0 -rw-r--r-- 1 root root 107K Jun 21 2018 libxcb-glx.so.0.0.0 lrwxrwxrwx 1 root root 23 Jun 21 2018 libxcb-present.so.0 -> libxcb-present.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 21 2018 libxcb-present.so.0.0.0 lrwxrwxrwx 1 root root 22 Jun 21 2018 libxcb-render.so.0 -> libxcb-render.so.0.0.0 -rw-r--r-- 1 root root 51K Jun 21 2018 libxcb-render.so.0.0.0 lrwxrwxrwx 1 root root 19 Jun 21 2018 libxcb-shm.so.0 -> libxcb-shm.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 21 2018 libxcb-shm.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-sync.so.1 -> libxcb-sync.so.1.0.0 -rw-r--r-- 1 root root 27K Jun 21 2018 libxcb-sync.so.1.0.0 lrwxrwxrwx 1 root root 15 Jun 21 2018 libxcb.so.1 -> libxcb.so.1.1.0 -rw-r--r-- 1 root root 159K Jun 21 2018 libxcb.so.1.1.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libxdot.so -> libxdot.so.4.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libxdot.so.4 -> libxdot.so.4.0.0 -rw-r--r-- 1 root root 23K Mar 24 2018 libxdot.so.4.0.0 -rw-r--r-- 1 root root 3.5M Nov 10 2017 libxerces-c-3.2.so lrwxrwxrwx 1 root root 21 Mar 5 2019 libxkbcommon.so.0 -> libxkbcommon.so.0.0.0 -rw-r--r-- 1 root root 251K Mar 5 2019 libxkbcommon.so.0.0.0 -rw-r--r-- 1 root root 2.9M Dec 1 12:38 libxml2.a lrwxrwxrwx 1 root root 16 Dec 1 12:38 libxml2.so -> libxml2.so.2.9.4 lrwxrwxrwx 1 root root 16 Dec 1 12:38 libxml2.so.2 -> libxml2.so.2.9.4 -rw-r--r-- 1 root root 1.8M Dec 1 12:38 libxml2.so.2.9.4 lrwxrwxrwx 1 root root 21 Mar 18 2018 libxshmfence.so.1 -> libxshmfence.so.1.0.0 -rw-r--r-- 1 root root 6.1K Mar 18 2018 libxshmfence.so.1.0.0 lrwxrwxrwx 1 root root 18 Jan 28 2018 libxvidcore.so.4 -> libxvidcore.so.4.3 -rw-r--r-- 1 root root 672K Jan 28 2018 libxvidcore.so.4.3 -rw-r--r-- 1 root root 162K Aug 16 22:08 libz.a lrwxrwxrwx 1 root root 36 Aug 16 22:08 libz.so -> /lib/x86_64-linux-gnu/libz.so.1.2.11 lrwxrwxrwx 1 root root 16 Mar 3 2021 libzstd.so.1 -> libzstd.so.1.3.3 -rw-r--r-- 1 root root 490K Mar 3 2021 libzstd.so.1.3.3 lrwxrwxrwx 1 root root 23 Nov 17 2016 libzvbi-chains.so.0 -> libzvbi-chains.so.0.0.0 -rw-r--r-- 1 root root 58K Nov 17 2016 libzvbi-chains.so.0.0.0 lrwxrwxrwx 1 root root 17 Nov 17 2016 libzvbi.so.0 -> libzvbi.so.0.13.2 -rw-r--r-- 1 root root 556K Nov 17 2016 libzvbi.so.0.13.2 drwxr-xr-x 2 root root 4.0K Dec 17 09:09 nss drwxr-xr-x 2 root root 4.0K Dec 17 09:09 odbc drwxr-xr-x 2 root root 4.0K Dec 17 09:09 openblas drwxr-xr-x 3 root root 4.0K Dec 17 09:09 openmpi drwxr-xr-x 3 root root 4.0K Dec 17 09:08 openssl-1.0.0 drwxr-xr-x 1 root root 4.0K Apr 3 2022 perl drwxr-xr-x 16 root root 4.0K Mar 15 2022 perl-base drwxr-xr-x 2 root root 4.0K Dec 17 09:09 pkgconfig -rw-r--r-- 1 root root 1.8K Jan 24 2022 rcrt1.o drwxr-xr-x 2 root root 4.0K Dec 17 09:09 rsocket drwxr-xr-x 2 root root 4.0K Apr 3 2022 sasl2 drwxr-xr-x 2 root root 4.0K Apr 3 2022 stubs drwxr-xr-x 2 root root 4.0K Dec 17 09:09 vdpau drwxr-xr-x 2 root root 4.0K Dec 17 09:09 x264-10bit -rw-r--r-- 1 root root 204 Dec 1 12:38 xml2Conf.sh [Pipeline] echo Packing build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so, build/dgl_sparse/*.so into dgl-gpu-linux [Pipeline] stash Stashed 5 file(s) Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 7a102dcb60191ba8defe6ba81773d93c4674300a831fd44781a6c322963a418c $ docker rm -f 7a102dcb60191ba8defe6ba81773d93c4674300a831fd44781a6c322963a418c [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/array_arith.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_cumsum.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_index_select.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_nonzero.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/array.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_op_impl.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_repeat.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_pack.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_sort.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_scatter.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_coalesce.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_remove.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_linegraph.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_get_data.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_mm.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_remove.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/negative_sampling.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_sort.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sum.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_sort.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/gather_mm.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_union.cc.o [ 66%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/labor_sampling.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_to_simple.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_sampling.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_topk.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/disjoint_union.cc.o [ 67%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/sddmm.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/segment_reduce.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_coo.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmm.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/spmat_op_impl_csr.cc.o [ 68%] Building CXX object CMakeFiles/dgl.dir/src/array/filter.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/uvm_array.cc.o [ 69%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/traversal.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/array/union_partition.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/random/random.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/array/libra_partition.cc.o [ 71%] Building CXX object CMakeFiles/dgl.dir/src/partition/ndarray_partition.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/geometry/geometry.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/array/kernel.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/runtime/config.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/bcast.cc.o [ 72%] Building CXX object CMakeFiles/dgl.dir/src/geometry/cpu/geometry_op_impl.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_object_api.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_runtime_api.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/random/cpu/choice.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dlpack_convert.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/c_api_common.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/dso_module.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cpu_device_api.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module.cc.o [ 74%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module_util.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/runtime/ndarray.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/runtime/file_util.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/semaphore_wrapper.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/utils.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/system_lib_module.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/object.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/workspace_pool.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/resource_manager.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/shared_mem.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/tensordispatch.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/runtime/thread_pool.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/api/api_container.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/runtime/registry.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/runtime/threading_backend.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/api/api_test.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/creators.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_apis.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_op.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/gk_ops.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_traversal.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph_capi.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/immutable_graph.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/metis_partition.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/nodeflow.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/network.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/pickle.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampler.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/negative/global_uniform.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/get_node_types_cpu.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/neighbor/neighbor.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec_cpu.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/graph_serialize.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalks.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_with_restart_cpu.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/tensor_serialize.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/dglgraph_serialize.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/heterograph_serialize.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_cpu.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/shared_mem_manager.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/zerocopy_serializer.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/subgraph.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/compact.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/cpu/knn.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/knn.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/line_graph.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/metis_partition_hetero.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_simple.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/union_partition.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler_apis.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/traversal.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_communicator.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_pool.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cuda/cuda_device_api.cc.o [ 93%] Building CXX object CMakeFiles/dgl.dir/src/array/cuda/csr_transpose.cc.o [ 93%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.cc.o In file included from /root/jenkins/workspace/dgl_PR-4483@7/src/geometry/../c_api_common.h:12:0, from /root/jenkins/workspace/dgl_PR-4483@7/src/geometry/geometry.cc:11: /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/runtime/packed_func.h:482:21: warning: inline function 'TObjectRef dgl::runtime::DGLArgValue::AsObjectRef() const [with TObjectRef = dgl::HeteroGraphRef]' used but never defined inline TObjectRef AsObjectRef() const; ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4483@7/src/array/libra_partition.cc: In function 'dgl::runtime::List dgl::aten::Libra2dglBuildDict(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, int32_t, int32_t, int64_t, const string&)': /root/jenkins/workspace/dgl_PR-4483@7/src/array/libra_partition.cc:389:11: warning: ignoring return value of 'int fscanf(FILE*, const char*, ...)', declared with attribute warn_unused_result [-Wunused-result] fscanf( ~~~~~~^ fp, "%ld,%ld,%f\n", &u, &v, ~~~~~~~~~~~~~~~~~~~~~~~~~~~ &w); // reading an edge - the src and dst global node IDs ~~~ /root/jenkins/workspace/dgl_PR-4483@7/src/array/libra_partition.cc: In function 'int32_t dgl::aten::Ver2partition(IdType, int64_t*, int32_t) [with IdType = long int]': /root/jenkins/workspace/dgl_PR-4483@7/src/array/libra_partition.cc:44:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ /root/jenkins/workspace/dgl_PR-4483@7/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4483@7/src/partition/ndarray_partition.cc:191:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ In file included from /usr/include/c++/7/cassert:44:0, from /root/jenkins/workspace/dgl_PR-4483@7/third_party/pcg/include/pcg_extras.hpp:40, from /root/jenkins/workspace/dgl_PR-4483@7/third_party/pcg/include/pcg_random.hpp:114, from /root/jenkins/workspace/dgl_PR-4483@7/include/dgl/random.h:18, from /root/jenkins/workspace/dgl_PR-4483@7/src/graph/sampler.cc:9: /root/jenkins/workspace/dgl_PR-4483@7/src/graph/sampler.cc: In member function 'dgl::NegSubgraph dgl::{anonymous}::EdgeSamplerObject::genNegEdgeSubgraph(const dgl::Subgraph&, const string&, int64_t, bool, bool)': /root/jenkins/workspace/dgl_PR-4483@7/src/graph/sampler.cc:1172:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4483@7/src/graph/sampler.cc:1176:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] assert(prev_neg_offset + neg_sample_size == neg_vids.size()); ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ [ 93%] Linking CXX shared library libdgl.so [ 93%] Built target dgl [ 93%] Building CXX object CMakeFiles/rpc_client.dir/tests/dist/cpp/rpc_client.cc.o [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/graph_index_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/message_queue_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/socket_communicator_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/string_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_aten.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_partition.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_csrmm.cc.o [ 96%] Building CXX object CMakeFiles/rpc_server.dir/tests/dist/cpp/rpc_server.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_smart_ptr_serialize.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_rowwise.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_sampler.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_coo.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_serialize.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_csr.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmm.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_unit_graph.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_zerocopy_serialize.cc.o /root/jenkins/workspace/dgl_PR-4483@7/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4483@7/tests/dist/cpp/rpc_client.cc:50:15: warning: unused variable 'num_machines' [-Wunused-variable] const int num_machines = ips_.size(); ^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc:84:44: required from here /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc:64:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc:73:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = long int]': /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc:85:44: required from here /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc:64:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc:73:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc:192:40: required from here /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc:170:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc:181:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DGLDeviceType XPU = (DGLDeviceType)2; IdType = long int]': /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc:193:40: required from here /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc:170:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < global->shape[0]; ++i) { /root/jenkins/workspace/dgl_PR-4483@7/tests/cpp/test_partition.cc:181:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < act_local->shape[0]; ++i) { [ 98%] Linking CXX executable rpc_server [100%] Linking CXX executable rpc_client [100%] Built target rpc_server [100%] Built target rpc_client [100%] Linking CXX executable runUnitTests [100%] Built target runUnitTests ~/jenkins/workspace/dgl_PR-4483@7 ~/jenkins/workspace/dgl_PR-4483@7/python ~/jenkins/workspace/dgl_PR-4483@7 WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv WARNING: Cython is not installed, will compile without cython module running install /opt/conda/lib/python3.9/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. warnings.warn( /opt/conda/lib/python3.9/site-packages/setuptools/command/easy_install.py:144: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. warnings.warn( running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-cpython-39 creating build/lib.linux-x86_64-cpython-39/dgl copying dgl/partition.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/core.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/base.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/global_config.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/network.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/logging.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/udf.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/init.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/view.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/generators.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/convert.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/container.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/merge.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/readout.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/batch.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/frame.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/_sparse_ops.py -> build/lib.linux-x86_64-cpython-39/dgl copying dgl/random.py -> build/lib.linux-x86_64-cpython-39/dgl creating build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/unary_diag.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/sp_matrix.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/sddmm.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/unary_sp.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/diag_matrix.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/reduction.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/matmul.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse copying dgl/mock_sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-cpython-39/dgl/mock_sparse creating build/lib.linux-x86_64-cpython-39/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-cpython-39/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-cpython-39/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-cpython-39/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/geometry creating build/lib.linux-x86_64-cpython-39/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-cpython-39/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-cpython-39/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-cpython-39/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/function creating build/lib.linux-x86_64-cpython-39/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn creating build/lib.linux-x86_64-cpython-39/dgl/mpops copying dgl/mpops/nodewise.py -> build/lib.linux-x86_64-cpython-39/dgl/mpops copying dgl/mpops/fused.py -> build/lib.linux-x86_64-cpython-39/dgl/mpops copying dgl/mpops/edgewise.py -> build/lib.linux-x86_64-cpython-39/dgl/mpops copying dgl/mpops/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/mpops creating build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-cpython-39/dgl/utils creating build/lib.linux-x86_64-cpython-39/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-cpython-39/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/multiprocessing creating build/lib.linux-x86_64-cpython-39/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/optim creating build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/labor_sampler.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-cpython-39/dgl/dataloading creating build/lib.linux-x86_64-cpython-39/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-cpython-39/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-cpython-39/dgl/backend creating build/lib.linux-x86_64-cpython-39/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-cpython-39/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-cpython-39/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-cpython-39/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-cpython-39/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-cpython-39/dgl/ops creating build/lib.linux-x86_64-cpython-39/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-cpython-39/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/cuda creating build/lib.linux-x86_64-cpython-39/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-cpython-39/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-cpython-39/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-cpython-39/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-cpython-39/dgl/storages creating build/lib.linux-x86_64-cpython-39/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-cpython-39/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-cpython-39/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-cpython-39/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-cpython-39/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-cpython-39/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-cpython-39/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/sampling copying dgl/sampling/labor.py -> build/lib.linux-x86_64-cpython-39/dgl/sampling creating build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-cpython-39/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-cpython-39/dgl/data creating build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed creating build/lib.linux-x86_64-cpython-39/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-cpython-39/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-cpython-39/dgl/transforms creating build/lib.linux-x86_64-cpython-39/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distgnn creating build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi creating build/lib.linux-x86_64-cpython-39/dgl/sparse copying dgl/sparse/unary_op_diag.py -> build/lib.linux-x86_64-cpython-39/dgl/sparse copying dgl/sparse/sddmm.py -> build/lib.linux-x86_64-cpython-39/dgl/sparse copying dgl/sparse/diag_matrix.py -> build/lib.linux-x86_64-cpython-39/dgl/sparse copying dgl/sparse/elementwise_op.py -> build/lib.linux-x86_64-cpython-39/dgl/sparse copying dgl/sparse/reduction.py -> build/lib.linux-x86_64-cpython-39/dgl/sparse copying dgl/sparse/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/sparse copying dgl/sparse/matmul.py -> build/lib.linux-x86_64-cpython-39/dgl/sparse copying dgl/sparse/elementwise_op_diag.py -> build/lib.linux-x86_64-cpython-39/dgl/sparse copying dgl/sparse/unary_op_sp.py -> build/lib.linux-x86_64-cpython-39/dgl/sparse copying dgl/sparse/elementwise_op_sp.py -> build/lib.linux-x86_64-cpython-39/dgl/sparse copying dgl/sparse/sparse_matrix.py -> build/lib.linux-x86_64-cpython-39/dgl/sparse copying dgl/sparse/softmax.py -> build/lib.linux-x86_64-cpython-39/dgl/sparse creating build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/graph_transformer.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/network_emb.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch creating build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet creating build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow creating build/lib.linux-x86_64-cpython-39/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/functional creating build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link creating build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cugraph_relgraphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-cpython-39/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-39/dgl/optim/pytorch creating build/lib.linux-x86_64-cpython-39/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/optim/mxnet creating build/lib.linux-x86_64-cpython-39/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/optim/tensorflow creating build/lib.linux-x86_64-cpython-39/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/pytorch creating build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet creating build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow creating build/lib.linux-x86_64-cpython-39/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/nn creating build/lib.linux-x86_64-cpython-39/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/optim creating build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-cpython-39/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-cpython-39/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distgnn/partition creating build/lib.linux-x86_64-cpython-39/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-cpython-39/dgl/distgnn/tools creating build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-cpython-39/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-cpython-39/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-cpython-39/dgl/_ffi/_cy2 running build_ext creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/unary_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/sp_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/unary_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse copying build/lib.linux-x86_64-cpython-39/dgl/mock_sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/mock_sparse creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-39/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-39/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-39/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-cpython-39/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-39/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-39/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-39/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-39/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-cpython-39/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/cugraph_relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/graph_transformer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/network_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-cpython-39/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional creating build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-39/dgl/mpops/nodewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-39/dgl/mpops/fused.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-39/dgl/mpops/edgewise.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-39/dgl/mpops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/mpops copying build/lib.linux-x86_64-cpython-39/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-cpython-39/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-39/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-39/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-cpython-39/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/global_config.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/labor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-cpython-39/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-39/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-cpython-39/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-39/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-39/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-39/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-39/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-39/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-39/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-cpython-39/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-39/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-39/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-cpython-39/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-39/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-39/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-39/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-39/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-39/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-cpython-39/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/sampling/labor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-cpython-39/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-cpython-39/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-cpython-39/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-cpython-39/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-39/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-39/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-cpython-39/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-39/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-cpython-39/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-39/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-39/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-cpython-39/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-cpython-39/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-cpython-39/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/_sparse_ops.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-cpython-39/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-39/dgl/sparse/unary_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-39/dgl/sparse/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-39/dgl/sparse/diag_matrix.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-39/dgl/sparse/elementwise_op.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-39/dgl/sparse/reduction.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-39/dgl/sparse/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-39/dgl/sparse/matmul.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-39/dgl/sparse/elementwise_op_diag.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-39/dgl/sparse/unary_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-39/dgl/sparse/elementwise_op_sp.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-39/dgl/sparse/sparse_matrix.py -> build/bdist.linux-x86_64/egg/dgl/sparse copying build/lib.linux-x86_64-cpython-39/dgl/sparse/softmax.py -> build/bdist.linux-x86_64/egg/dgl/sparse byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_diag.py to unary_diag.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sp_matrix.py to sp_matrix.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/sddmm.py to sddmm.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/unary_sp.py to unary_sp.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/diag_matrix.py to diag_matrix.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op.py to elementwise_op.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/reduction.py to reduction.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/matmul.py to matmul.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mock_sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cugraph_relgraphconv.py to cugraph_relgraphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/graph_transformer.py to graph_transformer.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/network_emb.py to network_emb.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/nodewise.py to nodewise.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/fused.py to fused.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/edgewise.py to edgewise.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/mpops/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/global_config.py to global_config.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/labor_sampler.py to labor_sampler.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/labor.py to labor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_sparse_ops.py to _sparse_ops.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/unary_op_diag.py to unary_op_diag.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/sddmm.py to sddmm.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/diag_matrix.py to diag_matrix.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op.py to elementwise_op.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/reduction.py to reduction.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/__init__.py to __init__.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/matmul.py to matmul.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op_diag.py to elementwise_op_diag.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/unary_op_sp.py to unary_op_sp.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/elementwise_op_sp.py to elementwise_op_sp.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/sparse_matrix.py to sparse_matrix.cpython-39.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse/softmax.py to softmax.cpython-39.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/dgl/dgl_sparse creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO creating dist creating 'dist/dgl-0.10-py3.9-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.10-py3.9-linux-x86_64.egg creating /opt/conda/lib/python3.9/site-packages/dgl-0.10-py3.9-linux-x86_64.egg Extracting dgl-0.10-py3.9-linux-x86_64.egg to /opt/conda/lib/python3.9/site-packages Adding dgl 0.10 to easy-install.pth file Installed /opt/conda/lib/python3.9/site-packages/dgl-0.10-py3.9-linux-x86_64.egg Processing dependencies for dgl==0.10 Searching for certifi>=2017.4.17 Reading https://pypi.org/simple/certifi/ /opt/conda/lib/python3.9/site-packages/pkg_resources/__init__.py:123: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release warnings.warn( Downloading https://files.pythonhosted.org/packages/71/4c/3db2b8021bd6f2f0ceb0e088d6b2d49147671f25832fb17970e9b583d742/certifi-2022.12.7-py3-none-any.whl#sha256=4ad3232f5e926d6718ec31cfc1fcadfde020920e278684144551c91769c7bc18 Best match: certifi 2022.12.7 Processing certifi-2022.12.7-py3-none-any.whl Installing certifi-2022.12.7-py3-none-any.whl to /opt/conda/lib/python3.9/site-packages Adding certifi 2022.12.7 to easy-install.pth file Installed /opt/conda/lib/python3.9/site-packages/certifi-2022.12.7-py3.9.egg Searching for psutil==5.9.3 Best match: psutil 5.9.3 Adding psutil 5.9.3 to easy-install.pth file Using /opt/conda/lib/python3.9/site-packages Searching for tqdm==4.64.1 Best match: tqdm 4.64.1 Adding tqdm 4.64.1 to easy-install.pth file Installing tqdm script to /opt/conda/bin Using /opt/conda/lib/python3.9/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/lib/python3.9/site-packages Searching for networkx==2.8.7 Best match: networkx 2.8.7 Adding networkx 2.8.7 to easy-install.pth file Using /opt/conda/lib/python3.9/site-packages Searching for scipy==1.9.3 Best match: scipy 1.9.3 Adding scipy 1.9.3 to easy-install.pth file Using /opt/conda/lib/python3.9/site-packages Searching for numpy==1.23.4 Best match: numpy 1.23.4 Adding numpy 1.23.4 to easy-install.pth file Installing f2py script to /opt/conda/bin Installing f2py3 script to /opt/conda/bin Installing f2py3.9 script to /opt/conda/bin Using /opt/conda/lib/python3.9/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/lib/python3.9/site-packages Searching for idna==3.4 Best match: idna 3.4 Adding idna 3.4 to easy-install.pth file Using /opt/conda/lib/python3.9/site-packages Searching for charset-normalizer==2.1.1 Best match: charset-normalizer 2.1.1 Adding charset-normalizer 2.1.1 to easy-install.pth file Installing normalizer script to /opt/conda/bin Using /opt/conda/lib/python3.9/site-packages Finished processing dependencies for dgl==0.10 WARNING: Cython is not installed, will compile without cython module running build_ext ~/jenkins/workspace/dgl_PR-4483@7 [Pipeline] sh + ls -lh /usr/lib/x86_64-linux-gnu/ total 507M -rw-r--r-- 1 root root 496 May 3 2022 Mcrt1.o -rw-r--r-- 1 root root 1.8K May 3 2022 Scrt1.o drwxr-xr-x 1 root root 4.0K Oct 25 08:48 audit drwxr-xr-x 2 root root 4.0K Apr 28 2022 coreutils -rw-r--r-- 1 root root 1.9K May 3 2022 crt1.o -rw-r--r-- 1 root root 1.2K May 3 2022 crti.o -rw-r--r-- 1 root root 648 May 3 2022 crtn.o drwxr-xr-x 1 root root 4.0K Oct 25 08:48 engines-1.1 drwxr-xr-x 1 root root 12K Oct 25 08:48 gconv -rw-r--r-- 1 root root 2.5K May 3 2022 gcrt1.o -rw-r--r-- 1 root root 2.3K May 3 2022 grcrt1.o drwxr-xr-x 3 root root 4.0K Oct 25 08:48 krb5 drwxr-xr-x 2 root root 4.0K May 20 2022 ldscripts -rw-r--r-- 1 root root 2.0K May 3 2022 libBrokenLocale.a lrwxrwxrwx 1 root root 42 May 3 2022 libBrokenLocale.so -> /lib/x86_64-linux-gnu/libBrokenLocale.so.1 -rw-r--r-- 1 root root 23K May 3 2022 libanl.a lrwxrwxrwx 1 root root 33 May 3 2022 libanl.so -> /lib/x86_64-linux-gnu/libanl.so.1 lrwxrwxrwx 1 root root 19 Jun 15 2021 libapt-pkg.so.5.0 -> libapt-pkg.so.5.0.2 -rw-r--r-- 1 root root 1.8M Jun 15 2021 libapt-pkg.so.5.0.2 lrwxrwxrwx 1 root root 23 Jun 15 2021 libapt-private.so.0.0 -> libapt-private.so.0.0.0 -rw-r--r-- 1 root root 415K Jun 15 2021 libapt-private.so.0.0.0 lrwxrwxrwx 1 root root 16 Dec 4 2019 libasan.so.4 -> libasan.so.4.0.0 -rw-r--r-- 1 root root 1.4M Dec 4 2019 libasan.so.4.0.0 lrwxrwxrwx 1 root root 16 Oct 11 17:46 libasn1.so.8 -> libasn1.so.8.0.0 -rw-r--r-- 1 root root 647K Oct 11 17:46 libasn1.so.8.0.0 lrwxrwxrwx 1 root root 18 Feb 6 2018 libassuan.so.0 -> libassuan.so.0.8.1 -rw-r--r-- 1 root root 75K Feb 6 2018 libassuan.so.0.8.1 lrwxrwxrwx 1 root root 18 Mar 10 2020 libatomic.so.1 -> libatomic.so.1.2.0 -rw-r--r-- 1 root root 27K Mar 10 2020 libatomic.so.1.2.0 -rw-r--r-- 1 root root 1.3M Oct 20 2021 libbfd-2.30-system.so -rw-r--r-- 1 root root 5.3M May 3 2022 libc.a -rw-r--r-- 1 root root 298 May 3 2022 libc.so -rw-r--r-- 1 root root 20K May 3 2022 libc_nonshared.a lrwxrwxrwx 1 root root 15 Mar 10 2020 libcc1.so.0 -> libcc1.so.0.0.0 -rw-r--r-- 1 root root 116K Mar 10 2020 libcc1.so.0.0.0 lrwxrwxrwx 1 root root 34 May 3 2022 libcidn.so -> /lib/x86_64-linux-gnu/libcidn.so.1 lrwxrwxrwx 1 root root 19 Dec 4 2019 libcilkrts.so.5 -> libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 117K Dec 4 2019 libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 61K May 3 2022 libcrypt.a lrwxrwxrwx 1 root root 35 May 3 2022 libcrypt.so -> /lib/x86_64-linux-gnu/libcrypt.so.1 -rw-r--r-- 1 root root 2.8M Jul 4 2022 libcrypto.so.1.1 lrwxrwxrwx 1 root root 19 Aug 31 19:18 libcurl-gnutls.so.3 -> libcurl-gnutls.so.4 lrwxrwxrwx 1 root root 23 Aug 31 19:18 libcurl-gnutls.so.4 -> libcurl-gnutls.so.4.5.0 -rw-r--r-- 1 root root 515K Aug 31 19:18 libcurl-gnutls.so.4.5.0 lrwxrwxrwx 1 root root 16 Aug 31 19:18 libcurl.so.4 -> libcurl.so.4.5.0 -rw-r--r-- 1 root root 519K Aug 31 19:18 libcurl.so.4.5.0 -rw-r--r-- 1 root root 1.7M Jun 3 2019 libdb-5.3.so lrwxrwxrwx 1 root root 25 Jun 8 2016 libdebconfclient.so.0 -> libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 8 2016 libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 12K May 3 2022 libdl.a lrwxrwxrwx 1 root root 32 May 3 2022 libdl.so -> /lib/x86_64-linux-gnu/libdl.so.2 lrwxrwxrwx 1 root root 18 Mar 8 2022 libexpatw.so.1 -> libexpatw.so.1.6.7 -rw-r--r-- 1 root root 203K Mar 8 2022 libexpatw.so.1.6.7 lrwxrwxrwx 1 root root 15 Jan 7 2018 libffi.so.6 -> libffi.so.6.0.4 -rw-r--r-- 1 root root 31K Jan 7 2018 libffi.so.6.0.4 lrwxrwxrwx 1 root root 14 May 23 2018 libform.so.5 -> libform.so.5.9 -rw-r--r-- 1 root root 60K May 23 2018 libform.so.5.9 lrwxrwxrwx 1 root root 15 May 23 2018 libformw.so.5 -> libformw.so.5.9 -rw-r--r-- 1 root root 68K May 23 2018 libformw.so.5.9 -rw-r--r-- 1 root root 1.2K May 3 2022 libg.a lrwxrwxrwx 1 root root 16 Mar 14 2018 libgdbm.so.5 -> libgdbm.so.5.0.0 -rw-r--r-- 1 root root 51K Mar 14 2018 libgdbm.so.5.0.0 lrwxrwxrwx 1 root root 23 Mar 14 2018 libgdbm_compat.so.4 -> libgdbm_compat.so.4.0.0 -rw-r--r-- 1 root root 14K Mar 14 2018 libgdbm_compat.so.4.0.0 lrwxrwxrwx 1 root root 16 Oct 11 17:56 libgmp.so.10 -> libgmp.so.10.3.2 -rw-r--r-- 1 root root 515K Oct 11 17:56 libgmp.so.10.3.2 lrwxrwxrwx 1 root root 21 Aug 2 12:58 libgnutls.so.30 -> libgnutls.so.30.14.10 -rw-r--r-- 1 root root 1.4M Aug 2 12:58 libgnutls.so.30.14.10 lrwxrwxrwx 1 root root 16 Mar 10 2020 libgomp.so.1 -> libgomp.so.1.0.0 -rw-r--r-- 1 root root 188K Mar 10 2020 libgomp.so.1.0.0 lrwxrwxrwx 1 root root 18 Oct 11 17:46 libgssapi.so.3 -> libgssapi.so.3.0.0 -rw-r--r-- 1 root root 260K Oct 11 17:46 libgssapi.so.3.0.0 lrwxrwxrwx 1 root root 21 Nov 11 2020 libgssapi_krb5.so.2 -> libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 299K Nov 11 2020 libgssapi_krb5.so.2.2 lrwxrwxrwx 1 root root 19 Oct 11 17:46 libhcrypto.so.4 -> libhcrypto.so.4.1.0 -rw-r--r-- 1 root root 213K Oct 11 17:46 libhcrypto.so.4.1.0 lrwxrwxrwx 1 root root 20 Oct 11 17:46 libheimbase.so.1 -> libheimbase.so.1.0.0 -rw-r--r-- 1 root root 59K Oct 11 17:46 libheimbase.so.1.0.0 lrwxrwxrwx 1 root root 20 Oct 11 17:46 libheimntlm.so.0 -> libheimntlm.so.0.1.0 -rw-r--r-- 1 root root 35K Oct 11 17:46 libheimntlm.so.0.1.0 lrwxrwxrwx 1 root root 17 Jun 14 2021 libhogweed.so.4 -> libhogweed.so.4.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libhogweed.so.4.5 lrwxrwxrwx 1 root root 17 Oct 11 17:46 libhx509.so.5 -> libhx509.so.5.0.0 -rw-r--r-- 1 root root 294K Oct 11 17:46 libhx509.so.5.0.0 lrwxrwxrwx 1 root root 16 Oct 24 2019 libidn2.so.0 -> libidn2.so.0.3.3 -rw-r--r-- 1 root root 114K Oct 24 2019 libidn2.so.0.3.3 lrwxrwxrwx 1 root root 16 Mar 9 2018 libisl.so.19 -> libisl.so.19.0.0 -rw-r--r-- 1 root root 1.6M Mar 9 2018 libisl.so.19.0.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libitm.so.1 -> libitm.so.1.0.0 -rw-r--r-- 1 root root 111K Mar 10 2020 libitm.so.1.0.0 lrwxrwxrwx 1 root root 18 Nov 11 2020 libk5crypto.so.3 -> libk5crypto.so.3.1 -rw-r--r-- 1 root root 195K Nov 11 2020 libk5crypto.so.3.1 lrwxrwxrwx 1 root root 17 Oct 11 17:46 libkrb5.so.26 -> libkrb5.so.26.0.0 -rw-r--r-- 1 root root 561K Oct 11 17:46 libkrb5.so.26.0.0 lrwxrwxrwx 1 root root 14 Nov 11 2020 libkrb5.so.3 -> libkrb5.so.3.3 -rw-r--r-- 1 root root 857K Nov 11 2020 libkrb5.so.3.3 lrwxrwxrwx 1 root root 21 Nov 11 2020 libkrb5support.so.0 -> libkrb5support.so.0.1 -rw-r--r-- 1 root root 43K Nov 11 2020 libkrb5support.so.0.1 lrwxrwxrwx 1 root root 17 Oct 18 00:13 libksba.so.8 -> libksba.so.8.11.6 -rw-r--r-- 1 root root 227K Oct 18 00:13 libksba.so.8.11.6 lrwxrwxrwx 1 root root 21 May 12 2022 liblber-2.4.so.2 -> liblber-2.4.so.2.10.8 -rw-r--r-- 1 root root 55K May 12 2022 liblber-2.4.so.2.10.8 lrwxrwxrwx 1 root root 18 May 12 2022 libldap-2.4.so.2 -> libldap_r-2.4.so.2 lrwxrwxrwx 1 root root 23 May 12 2022 libldap_r-2.4.so.2 -> libldap_r-2.4.so.2.10.8 -rw-r--r-- 1 root root 320K May 12 2022 libldap_r-2.4.so.2.10.8 lrwxrwxrwx 1 root root 16 Mar 10 2020 liblsan.so.0 -> liblsan.so.0.0.0 -rw-r--r-- 1 root root 338K Mar 10 2020 liblsan.so.0.0.0 lrwxrwxrwx 1 root root 15 May 20 2021 liblz4.so.1 -> liblz4.so.1.7.1 -rw-r--r-- 1 root root 111K May 20 2021 liblz4.so.1.7.1 -rw-r--r-- 1 root root 3.5M May 3 2022 libm-2.27.a -rw-r--r-- 1 root root 132 May 3 2022 libm.a -rw-r--r-- 1 root root 186 May 3 2022 libm.so -rw-r--r-- 1 root root 1.5K May 3 2022 libmcheck.a lrwxrwxrwx 1 root root 14 May 23 2018 libmenu.so.5 -> libmenu.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenu.so.5.9 lrwxrwxrwx 1 root root 15 May 23 2018 libmenuw.so.5 -> libmenuw.so.5.9 -rw-r--r-- 1 root root 35K May 23 2018 libmenuw.so.5.9 lrwxrwxrwx 1 root root 15 Jan 23 2018 libmpc.so.3 -> libmpc.so.3.1.0 -rw-r--r-- 1 root root 96K Jan 23 2018 libmpc.so.3.1.0 lrwxrwxrwx 1 root root 16 Feb 7 2018 libmpfr.so.6 -> libmpfr.so.6.0.1 -rw-r--r-- 1 root root 512K Feb 7 2018 libmpfr.so.6.0.1 lrwxrwxrwx 1 root root 15 Mar 10 2020 libmpx.so.2 -> libmpx.so.2.0.1 -rw-r--r-- 1 root root 19K Mar 10 2020 libmpx.so.2.0.1 lrwxrwxrwx 1 root root 23 Mar 10 2020 libmpxwrappers.so.2 -> libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 15K Mar 10 2020 libmpxwrappers.so.2.0.1 -rw-r--r-- 1 root root 337K May 3 2022 libmvec.a lrwxrwxrwx 1 root root 34 May 3 2022 libmvec.so -> /lib/x86_64-linux-gnu/libmvec.so.1 -rw-r--r-- 1 root root 5.9K May 3 2022 libmvec_nonshared.a lrwxrwxrwx 1 root root 12 Oct 19 2021 libnccl.so -> libnccl.so.2 lrwxrwxrwx 1 root root 17 Oct 19 2021 libnccl.so.2 -> libnccl.so.2.11.4 -rw-r--r-- 1 root root 220M Oct 19 2021 libnccl.so.2.11.4 -rw-r--r-- 1 root root 238M Oct 19 2021 libnccl_static.a lrwxrwxrwx 1 root root 16 Jun 14 2021 libnettle.so.6 -> libnettle.so.6.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libnettle.so.6.5 lrwxrwxrwx 1 root root 21 Apr 10 2018 libnghttp2.so.14 -> libnghttp2.so.14.15.2 -rw-r--r-- 1 root root 150K Apr 10 2018 libnghttp2.so.14.15.2 lrwxrwxrwx 1 root root 16 Nov 12 2017 libnpth.so.0 -> libnpth.so.0.1.1 -rw-r--r-- 1 root root 15K Nov 12 2017 libnpth.so.0.1.1 -rw-r--r-- 1 root root 201K May 3 2022 libnsl.a lrwxrwxrwx 1 root root 33 May 3 2022 libnsl.so -> /lib/x86_64-linux-gnu/libnsl.so.1 lrwxrwxrwx 1 root root 40 May 3 2022 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 37 May 3 2022 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 39 May 3 2022 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 40 May 3 2022 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 37 May 3 2022 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 41 May 3 2022 libnss_nisplus.so -> /lib/x86_64-linux-gnu/libnss_nisplus.so.2 -rw-r--r-- 1 root root 71K Jun 20 2018 libnuma.a lrwxrwxrwx 1 root root 16 Jun 20 2018 libnuma.so -> libnuma.so.1.0.0 lrwxrwxrwx 1 root root 16 Jun 20 2018 libnuma.so.1 -> libnuma.so.1.0.0 -rw-r--r-- 1 root root 43K Jun 20 2018 libnuma.so.1.0.0 -rw-r--r-- 1 root root 1.7M Oct 20 2021 libopcodes-2.30-system.so lrwxrwxrwx 1 root root 19 Jan 4 2021 libp11-kit.so.0 -> libp11-kit.so.0.3.0 -rw-r--r-- 1 root root 1.2M Jan 4 2021 libp11-kit.so.0.3.0 lrwxrwxrwx 1 root root 15 May 23 2018 libpanel.so.5 -> libpanel.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanel.so.5.9 lrwxrwxrwx 1 root root 16 May 23 2018 libpanelw.so.5 -> libpanelw.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanelw.so.5.9 lrwxrwxrwx 1 root root 22 May 17 2022 libpcreposix.so.3 -> libpcreposix.so.3.13.3 -rw-r--r-- 1 root root 9.9K May 17 2022 libpcreposix.so.3.13.3 lrwxrwxrwx 1 root root 17 Oct 5 10:49 libperl.so.5.26 -> libperl.so.5.26.1 -rw-r--r-- 1 root root 2.0M Oct 5 10:49 libperl.so.5.26.1 lrwxrwxrwx 1 root root 15 Mar 4 2018 libpsl.so.5 -> libpsl.so.5.2.0 -rw-r--r-- 1 root root 54K Mar 4 2018 libpsl.so.5.2.0 -rw-r--r-- 1 root root 6.0M May 3 2022 libpthread.a -rw-r--r-- 1 root root 252 May 3 2022 libpthread.so -rw-r--r-- 1 root root 29K May 3 2022 libpthread_nonshared.a lrwxrwxrwx 1 root root 20 Mar 10 2020 libquadmath.so.0 -> libquadmath.so.0.0.0 -rw-r--r-- 1 root root 256K Mar 10 2020 libquadmath.so.0.0.0 -rw-r--r-- 1 root root 136K May 3 2022 libresolv.a lrwxrwxrwx 1 root root 36 May 3 2022 libresolv.so -> /lib/x86_64-linux-gnu/libresolv.so.2 lrwxrwxrwx 1 root root 18 Oct 11 17:46 libroken.so.18 -> libroken.so.18.1.0 -rw-r--r-- 1 root root 87K Oct 11 17:46 libroken.so.18.1.0 -rw-r--r-- 1 root root 52K May 3 2022 librpcsvc.a -rw-r--r-- 1 root root 76K May 3 2022 librt.a lrwxrwxrwx 1 root root 32 May 3 2022 librt.so -> /lib/x86_64-linux-gnu/librt.so.1 -rw-r--r-- 1 root root 111K Apr 27 2016 librtmp.so.1 lrwxrwxrwx 1 root root 18 Feb 15 2022 libsasl2.so.2 -> libsasl2.so.2.0.25 -rw-r--r-- 1 root root 107K Feb 15 2022 libsasl2.so.2.0.25 -rw-r--r-- 1 root root 251K Mar 1 2018 libsemanage.so.1 lrwxrwxrwx 1 root root 19 Feb 5 2018 libsigsegv.so.2 -> libsigsegv.so.2.0.5 -rw-r--r-- 1 root root 15K Feb 5 2018 libsigsegv.so.2.0.5 lrwxrwxrwx 1 root root 19 Sep 14 17:02 libsqlite3.so.0 -> libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 1.1M Sep 14 17:02 libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 564K Jul 4 2022 libssl.so.1.1 lrwxrwxrwx 1 root root 19 Mar 10 2020 libstdc++.so.6 -> libstdc++.so.6.0.25 -rw-r--r-- 1 root root 1.6M Mar 10 2020 libstdc++.so.6.0.25 lrwxrwxrwx 1 root root 17 Jan 21 2018 libtasn1.so.6 -> libtasn1.so.6.5.5 -rw-r--r-- 1 root root 74K Jan 21 2018 libtasn1.so.6.5.5 lrwxrwxrwx 1 root root 39 May 3 2022 libthread_db.so -> /lib/x86_64-linux-gnu/libthread_db.so.1 lrwxrwxrwx 1 root root 13 May 23 2018 libtic.so.5 -> libtic.so.5.9 -rw-r--r-- 1 root root 62K May 23 2018 libtic.so.5.9 lrwxrwxrwx 1 root root 16 Mar 10 2020 libtsan.so.0 -> libtsan.so.0.0.0 -rw-r--r-- 1 root root 942K Mar 10 2020 libtsan.so.0.0.0 -rw-r--r-- 1 root root 3.6K Mar 10 2020 libtsan_preinit.o lrwxrwxrwx 1 root root 17 Dec 4 2019 libubsan.so.0 -> libubsan.so.0.0.0 -rw-r--r-- 1 root root 322K Dec 4 2019 libubsan.so.0.0.0 lrwxrwxrwx 1 root root 21 Mar 21 2019 libunistring.so.2 -> libunistring.so.2.1.0 -rw-r--r-- 1 root root 1.5M Mar 21 2019 libunistring.so.2.1.0 lrwxrwxrwx 1 root root 19 May 1 2020 liburcu-bp.so.6 -> liburcu-bp.so.6.0.0 -rw-r--r-- 1 root root 31K May 1 2020 liburcu-bp.so.6.0.0 lrwxrwxrwx 1 root root 20 May 1 2020 liburcu-cds.so.6 -> liburcu-cds.so.6.0.0 -rw-r--r-- 1 root root 38K May 1 2020 liburcu-cds.so.6.0.0 lrwxrwxrwx 1 root root 23 May 1 2020 liburcu-common.so.6 -> liburcu-common.so.6.0.0 -rw-r--r-- 1 root root 18K May 1 2020 liburcu-common.so.6.0.0 lrwxrwxrwx 1 root root 19 May 1 2020 liburcu-mb.so.6 -> liburcu-mb.so.6.0.0 -rw-r--r-- 1 root root 27K May 1 2020 liburcu-mb.so.6.0.0 lrwxrwxrwx 1 root root 21 May 1 2020 liburcu-qsbr.so.6 -> liburcu-qsbr.so.6.0.0 -rw-r--r-- 1 root root 27K May 1 2020 liburcu-qsbr.so.6.0.0 lrwxrwxrwx 1 root root 23 May 1 2020 liburcu-signal.so.6 -> liburcu-signal.so.6.0.0 -rw-r--r-- 1 root root 31K May 1 2020 liburcu-signal.so.6.0.0 lrwxrwxrwx 1 root root 16 May 1 2020 liburcu.so.6 -> liburcu.so.6.0.0 -rw-r--r-- 1 root root 31K May 1 2020 liburcu.so.6.0.0 -rw-r--r-- 1 root root 15K May 3 2022 libutil.a lrwxrwxrwx 1 root root 34 May 3 2022 libutil.so -> /lib/x86_64-linux-gnu/libutil.so.1 lrwxrwxrwx 1 root root 16 Oct 11 17:46 libwind.so.0 -> libwind.so.0.0.0 -rw-r--r-- 1 root root 162K Oct 11 17:46 libwind.so.0.0.0 lrwxrwxrwx 1 root root 16 Mar 3 2021 libzstd.so.1 -> libzstd.so.1.3.3 -rw-r--r-- 1 root root 490K Mar 3 2021 libzstd.so.1.3.3 drwxr-xr-x 1 root root 4.0K May 20 2022 perl drwxr-xr-x 1 root root 4.0K Oct 25 08:48 perl-base -rw-r--r-- 1 root root 1.8K May 3 2022 rcrt1.o drwxr-xr-x 2 root root 4.0K May 20 2022 sasl2 [Pipeline] echo Packing build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so, build/dgl_sparse/*.so into dgl-cugraph-linux [Pipeline] stash Stashed 2 file(s) Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 18281e1ba020dca93195621905de82b48e6c39f0d2521335dd28977decf46753 $ docker rm -f 18281e1ba020dca93195621905de82b48e6c39f0d2521335dd28977decf46753 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] // parallel [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Test) [Pipeline] parallel [Pipeline] { (Branch: C++ CPU) [Pipeline] { (Branch: C++ GPU) [Pipeline] { (Branch: C++ CPU (Win64)) [Pipeline] { (Branch: Tensorflow CPU) [Pipeline] { (Branch: Tensorflow GPU) [Pipeline] { (Branch: Torch CPU) [Pipeline] { (Branch: Torch CPU (Win64)) [Pipeline] { (Branch: Torch GPU) [Pipeline] { (Branch: Distributed) [Pipeline] { (Branch: PyTorch Cugraph GPU) [Pipeline] { (Branch: DGL-Go) [Pipeline] stage [Pipeline] { (C++ CPU) [Pipeline] stage [Pipeline] { (C++ GPU) [Pipeline] stage [Pipeline] { (C++ CPU (Win64)) [Pipeline] stage [Pipeline] { (Tensorflow CPU) [Pipeline] stage [Pipeline] { (Tensorflow GPU) [Pipeline] stage [Pipeline] { (Torch CPU) [Pipeline] stage [Pipeline] { (Torch CPU (Win64)) [Pipeline] stage [Pipeline] { (Torch GPU) [Pipeline] stage [Pipeline] { (Distributed) [Pipeline] stage [Pipeline] { (PyTorch Cugraph GPU) [Pipeline] stage [Pipeline] { (DGL-Go) [Pipeline] node Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4483 [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init C:\Jenkins\workspace\dgl_PR-4483 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4483\.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4483>git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/METIS'... Still waiting to schedule task ‘dgci-worker-permanent’ doesn’t have label ‘windows’ ‘dgl-manual-cpu-worker’ doesn’t have label ‘windows’ ‘dglci-post-linux’ doesn’t have label ‘windows’ ‘dglci-windows2’ is offline Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Still waiting to schedule task Waiting for next available executor on ‘dglci-manual-gpu-worker’ Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Still waiting to schedule task Waiting for next available executor on ‘dglci-manual-gpu-worker’ Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Still waiting to schedule task Waiting for next available executor on ‘dglci-manual-gpu-worker’ Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Still waiting to schedule task Waiting for next available executor on ‘dglci-manual-gpu-worker’ Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/pcg'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tvm'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash [Pipeline] echo Unpacked build\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll from dgl-cpu-win64 [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4483>CALL tests\scripts\task_cpp_unit_test.bat Running main() from C:\Jenkins\workspace\dgl_PR-4483\third_party\googletest\googletest\src\gtest_main.cc [==========] Running 89 tests from 21 test suites. [----------] Global test environment set-up. [----------] 1 test from GraphTest [ RUN ] GraphTest.TestNumVertices [ OK ] GraphTest.TestNumVertices (0 ms) [----------] 1 test from GraphTest (0 ms total) [----------] 3 tests from MessageQueueTest [ RUN ] MessageQueueTest.AddRemove [05:36:45] C:\Jenkins\workspace\dgl_PR-4483\src\rpc\network\msg_queue.cc:28: Message is larger than the queue. [ OK ] MessageQueueTest.AddRemove (0 ms) [ RUN ] MessageQueueTest.EmptyAndNoMoreAdd [ OK ] MessageQueueTest.EmptyAndNoMoreAdd (0 ms) [ RUN ] MessageQueueTest.MultiThread [ OK ] MessageQueueTest.MultiThread (9 ms) [----------] 3 tests from MessageQueueTest (9 ms total) [----------] 1 test from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv [ OK ] SocketCommunicatorTest.SendAndRecv (6008 ms) [----------] 1 test from SocketCommunicatorTest (6008 ms total) [----------] 3 tests from SplitStringTest [ RUN ] SplitStringTest.SplitStringUsingCompoundDelim [ OK ] SplitStringTest.SplitStringUsingCompoundDelim (0 ms) [ RUN ] SplitStringTest.testSplitStringUsingSingleDelim [ OK ] SplitStringTest.testSplitStringUsingSingleDelim (0 ms) [ RUN ] SplitStringTest.testSplitingNoDelimString [ OK ] SplitStringTest.testSplitingNoDelimString (0 ms) [----------] 3 tests from SplitStringTest (0 ms total) [----------] 1 test from StringPrintf [ RUN ] StringPrintf.normal [ OK ] StringPrintf.normal (0 ms) [----------] 1 test from StringPrintf (0 ms total) [----------] 13 tests from ArrayTest [ RUN ] ArrayTest.TestCreate [ OK ] ArrayTest.TestCreate (0 ms) [ RUN ] ArrayTest.TestRange [ OK ] ArrayTest.TestRange (0 ms) [ RUN ] ArrayTest.TestFull [ OK ] ArrayTest.TestFull (0 ms) [ RUN ] ArrayTest.TestClone [ OK ] ArrayTest.TestClone (0 ms) [ RUN ] ArrayTest.TestAsNumBits [ OK ] ArrayTest.TestAsNumBits (0 ms) [ RUN ] ArrayTest.Arith [ OK ] ArrayTest.Arith (0 ms) [ RUN ] ArrayTest.HStack [ OK ] ArrayTest.HStack (0 ms) [ RUN ] ArrayTest.TestIndexSelect [ OK ] ArrayTest.TestIndexSelect (0 ms) [ RUN ] ArrayTest.TestRelabel_ [ OK ] ArrayTest.TestRelabel_ (0 ms) [ RUN ] ArrayTest.CumSum [ OK ] ArrayTest.CumSum (0 ms) [ RUN ] ArrayTest.Scatter_ [ OK ] ArrayTest.Scatter_ (0 ms) [ RUN ] ArrayTest.NonZero [ OK ] ArrayTest.NonZero (0 ms) [ RUN ] ArrayTest.Sort [ OK ] ArrayTest.Sort (0 ms) [----------] 13 tests from ArrayTest (1 ms total) [----------] 2 tests from MatrixTest [ RUN ] MatrixTest.TestToSimpleCsr [ OK ] MatrixTest.TestToSimpleCsr (1 ms) [ RUN ] MatrixTest.TestToSimpleCoo [ OK ] MatrixTest.TestToSimpleCoo (0 ms) [----------] 2 tests from MatrixTest (1 ms total) [----------] 2 tests from DisjointUnionTest [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCoo [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCoo (1 ms) [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCsr [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCsr (0 ms) [----------] 2 tests from DisjointUnionTest (1 ms total) [----------] 2 tests from SliceContiguousChunk [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCoo [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCoo (0 ms) [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCsr [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCsr (0 ms) [----------] 2 tests from SliceContiguousChunk (0 ms total) [----------] 2 tests from MatrixUnionTest [ RUN ] MatrixUnionTest.TestMatrixUnionCsr [ OK ] MatrixUnionTest.TestMatrixUnionCsr (0 ms) [ RUN ] MatrixUnionTest.TestMatrixUnionCoo [ OK ] MatrixUnionTest.TestMatrixUnionCoo (0 ms) [----------] 2 tests from MatrixUnionTest (0 ms total) [----------] 1 test from LineGraphTest [ RUN ] LineGraphTest.LineGraphCOO [ OK ] LineGraphTest.LineGraphCOO (1 ms) [----------] 1 test from LineGraphTest (1 ms total) [----------] 3 tests from CsrmmTest [ RUN ] CsrmmTest.TestCsrmm [ OK ] CsrmmTest.TestCsrmm (1 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (1 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (2 ms) [----------] 3 tests from CsrmmTest (4 ms total) [----------] 2 tests from PartitionTest [ RUN ] PartitionTest.TestRemainderPartition [ OK ] PartitionTest.TestRemainderPartition (0 ms) [ RUN ] PartitionTest.TestRangePartition [ OK ] PartitionTest.TestRangePartition (0 ms) [----------] 2 tests from PartitionTest (0 ms total) [----------] 11 tests from RowwiseTest [ RUN ] RowwiseTest.TestCSRSampling [ OK ] RowwiseTest.TestCSRSampling (8 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] RowwiseTest.TestCSRSamplingUniform (1 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (6 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (3 ms) [ RUN ] RowwiseTest.TestCOOSampling [ OK ] RowwiseTest.TestCOOSampling (7082 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (3757 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSampling [ OK ] RowwiseTest.TestCOOPerEtypeSampling (1362 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (643 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (0 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (65 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSamplingBiased (2 ms) [----------] 11 tests from RowwiseTest (12929 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement [ OK ] SampleUtilsTest.TestWithReplacement (2348 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (8140 ms) [----------] 3 tests from SampleUtilsTest (10488 ms total) [----------] 3 tests from RandomTest [ RUN ] RandomTest.TestChoice [ OK ] RandomTest.TestChoice (1 ms) [ RUN ] RandomTest.TestUniformChoice [ OK ] RandomTest.TestUniformChoice (0 ms) [ RUN ] RandomTest.TestBiasedChoice [ OK ] RandomTest.TestBiasedChoice (32 ms) [----------] 3 tests from RandomTest (33 ms total) [----------] 4 tests from Serialize [ RUN ] Serialize.UnitGraph_COO [ OK ] Serialize.UnitGraph_COO (2 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (0 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (1 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (3 ms) [----------] 4 tests from Serialize (6 ms total) [----------] 3 tests from SmartPtrTest/0, where TypeParam = class std::shared_ptr [ RUN ] SmartPtrTest/0.Obj_Test [ OK ] SmartPtrTest/0.Obj_Test (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test1 [ OK ] SmartPtrTest/0.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test2 [ OK ] SmartPtrTest/0.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/0 (0 ms total) [----------] 3 tests from SmartPtrTest/1, where TypeParam = class std::unique_ptr > [ RUN ] SmartPtrTest/1.Obj_Test [ OK ] SmartPtrTest/1.Obj_Test (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test1 [ OK ] SmartPtrTest/1.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test2 [ OK ] SmartPtrTest/1.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/1 (0 ms total) [----------] 19 tests from SpmatTest [ RUN ] SpmatTest.COOToCSR [ OK ] SpmatTest.COOToCSR (1 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (0 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (0 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (2 ms) [ RUN ] SpmatTest.COOGetData [ OK ] SpmatTest.COOGetData (6 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (1 ms) [ RUN ] SpmatTest.TestCSRGetRowNNZ [ OK ] SpmatTest.TestCSRGetRowNNZ (0 ms) [ RUN ] SpmatTest.TestCSRGetRowColumnIndices [ OK ] SpmatTest.TestCSRGetRowColumnIndices (0 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (0 ms) [ RUN ] SpmatTest.CSRGetData [ OK ] SpmatTest.CSRGetData (1 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (0 ms) [ RUN ] SpmatTest.CSRTranspose [ OK ] SpmatTest.CSRTranspose (0 ms) [ RUN ] SpmatTest.CSRToCOO [ OK ] SpmatTest.CSRToCOO (1 ms) [ RUN ] SpmatTest.TestCSRSliceRows [ OK ] SpmatTest.TestCSRSliceRows (31 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (14 ms) [ RUN ] SpmatTest.CSRHasDuplicate [ OK ] SpmatTest.CSRHasDuplicate (0 ms) [ RUN ] SpmatTest.CSRSort [ OK ] SpmatTest.CSRSort (0 ms) [ RUN ] SpmatTest.TestCSRReorder [ OK ] SpmatTest.TestCSRReorder (0 ms) [----------] 19 tests from SpmatTest (57 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (5 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (5 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (6 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve [ OK ] UniGraphTest.TestUnitGraph_Reserve (6 ms) [----------] 7 tests from UniGraphTest (23 ms total) [----------] Global test environment tear-down [==========] 89 tests from 21 test suites ran. (29561 ms total) [ PASSED ] 89 tests. Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4483 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init C:\Jenkins\workspace\dgl_PR-4483 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 Commit message: "revert the test code being reverted in #4956" Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] stage [Pipeline] { (Torch CPU (Win64) Unit test) [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace Fetching without tags > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4483\.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4483>git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/METIS'... Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4483@5 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4483@5 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/pcg'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tvm'... Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' > git clean -fdx # timeout=10 + docker pull dgllib/dgl-ci-cpu:v221216 Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' v221216: Pulling from dgllib/dgl-ci-cpu Digest: sha256:0559bb6a2ad7b63bc2ec2c385a60319c4aee0d0eebf23ae442171f63aad70294 Status: Image is up to date for dgllib/dgl-ci-cpu:v221216 docker.io/dgllib/dgl-ci-cpu:v221216 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-cpu:v221216 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4483@5 -v /root/jenkins/workspace/dgl_PR-4483@5:/root/jenkins/workspace/dgl_PR-4483@5:rw,z -v /root/jenkins/workspace/dgl_PR-4483@5@tmp:/root/jenkins/workspace/dgl_PR-4483@5@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v221216 cat $ docker top af1f96e5505d40180d41af75bbefc296ca4886da9e4093e78244f661ab3e3155 -eo pid,comm ERROR: The container started but didn't run the expected command. Please double check your ENTRYPOINT does execute the command passed as docker run argument, as required by official docker images (see https://github.com/docker-library/official-images#consistency for entrypoint consistency requirements). Alternatively you can force image entrypoint to be disabled by adding option `--entrypoint=''`. [Pipeline] { [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dgl_sparse dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@73a7d068; decorates RemoteLauncher[hudson.remoting.Channel@653504b6:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483@5/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/dlpack'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/dmlc-core'... Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/googletest'... Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/vta-hw'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/dmlc-core'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash [Pipeline] echo Unpacked build\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll from dgl-cpu-win64 [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4483>CALL tests\scripts\task_unit_test.bat pytorch Requirement already satisfied: pytest in c:\program files\python36\lib\site-packages (7.0.1) Requirement already satisfied: psutil in c:\users\administrator\envs\jenkins-dgl-pr-4483-12\lib\site-packages (5.9.4) Requirement already satisfied: pandas in c:\program files\python36\lib\site-packages (1.1.5) Requirement already satisfied: pyyaml in c:\program files\python36\lib\site-packages (6.0) Requirement already satisfied: pydantic in c:\program files\python36\lib\site-packages (1.9.0) Collecting rdflib Using cached rdflib-5.0.0-py3-none-any.whl (231 kB) Collecting torchmetrics Using cached torchmetrics-0.8.2-py3-none-any.whl (409 kB) Requirement already satisfied: pluggy<2.0,>=0.12 in c:\program files\python36\lib\site-packages (from pytest) (0.13.1) Requirement already satisfied: attrs>=19.2.0 in c:\program files\python36\lib\site-packages (from pytest) (19.3.0) Requirement already satisfied: packaging in c:\program files\python36\lib\site-packages (from pytest) (20.4) Requirement already satisfied: atomicwrites>=1.0 in c:\program files\python36\lib\site-packages (from pytest) (1.4.0) Requirement already satisfied: iniconfig in c:\program files\python36\lib\site-packages (from pytest) (1.0.1) Requirement already satisfied: tomli>=1.0.0 in c:\program files\python36\lib\site-packages (from pytest) (1.2.3) Requirement already satisfied: importlib-metadata>=0.12 in c:\program files\python36\lib\site-packages (from pytest) (1.7.0) Requirement already satisfied: py>=1.8.2 in c:\program files\python36\lib\site-packages (from pytest) (1.9.0) Requirement already satisfied: colorama in c:\program files\python36\lib\site-packages (from pytest) (0.4.3) Requirement already satisfied: python-dateutil>=2.7.3 in c:\program files\python36\lib\site-packages (from pandas) (2.8.1) Requirement already satisfied: pytz>=2017.2 in c:\program files\python36\lib\site-packages (from pandas) (2021.1) Requirement already satisfied: numpy>=1.15.4 in c:\program files\python36\lib\site-packages (from pandas) (1.19.5) Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\program files\python36\lib\site-packages (from pydantic) (4.0.1) Requirement already satisfied: dataclasses>=0.6 in c:\program files\python36\lib\site-packages (from pydantic) (0.8) Requirement already satisfied: pyparsing in c:\program files\python36\lib\site-packages (from rdflib) (2.4.7) Collecting isodate Using cached isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: six in c:\program files\python36\lib\site-packages (from rdflib) (1.15.0) Collecting pyDeprecate==0.3.* Using cached pyDeprecate-0.3.2-py3-none-any.whl (10 kB) Requirement already satisfied: torch>=1.3.1 in c:\program files\python36\lib\site-packages (from torchmetrics) (1.9.0+cpu) Requirement already satisfied: zipp>=0.5 in c:\program files\python36\lib\site-packages (from importlib-metadata>=0.12->pytest) (3.1.0) Installing collected packages: pyDeprecate, isodate, torchmetrics, rdflib Successfully installed isodate-0.6.1 pyDeprecate-0.3.2 rdflib-5.0.0 torchmetrics-0.8.2 ============================= test session starts ============================= platform win32 -- Python 3.6.7, pytest-7.0.1, pluggy-0.13.1 -- C:\Users\Administrator\Envs\jenkins-dgl-PR-4483-12\Scripts\python.exe cachedir: .pytest_cache rootdir: C:\Jenkins\workspace\dgl_PR-4483 collecting ... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/pcg'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe'... collected 3579 items / 12 skipped / 3567 selected tests/pytorch/test_dataloader.py::test_graph_dataloader[None] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_graph_dataloader[16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[0] SKIPPED (Do no...) [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[4] SKIPPED (Do no...) [ 0%] tests/pytorch/test_dataloader.py::test_shadow[0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/googletest'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/libuv'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/pybind11'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/thrust/dependencies/cub'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so, build/dgl_sparse/*.so from dgl-cpu-linux [Pipeline] sh PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype0] + bash tests/scripts/task_cpp_unit_test.sh /root/jenkins/workspace/dgl_PR-4483@5 ~/jenkins/workspace/dgl_PR-4483@5/build ~/jenkins/workspace/dgl_PR-4483@5 total 15M drwxr-xr-x 2 root root 4.0K Jan 8 05:38 dgl_sparse -rwxr-xr-x 1 root root 12M Jan 8 05:19 libdgl.so -rwxr-xr-x 1 root root 3.4M Jan 8 05:19 runUnitTests drwxr-xr-x 3 root root 4.0K Jan 8 05:38 tensoradapter Running main() from /root/jenkins/workspace/dgl_PR-4483@5/third_party/googletest/googletest/src/gtest_main.cc [==========] Running 101 tests from 23 test suites. [----------] Global test environment set-up. [----------] 1 test from GraphTest [ RUN ] GraphTest.TestNumVertices [ OK ] GraphTest.TestNumVertices (0 ms) [----------] 1 test from GraphTest (0 ms total) [----------] 3 tests from MessageQueueTest [ RUN ] MessageQueueTest.AddRemove [05:38:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/network/msg_queue.cc:28: Message is larger than the queue. [ OK ] MessageQueueTest.AddRemove (0 ms) [ RUN ] MessageQueueTest.EmptyAndNoMoreAdd [ OK ] MessageQueueTest.EmptyAndNoMoreAdd (0 ms) [ RUN ] MessageQueueTest.MultiThread [ OK ] MessageQueueTest.MultiThread (8 ms) [----------] 3 tests from MessageQueueTest (8 ms total) [----------] 3 tests from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype1] [ OK ] SocketCommunicatorTest.SendAndRecv (7002 ms) [ RUN ] SocketCommunicatorTest.SendAndRecvTimeout PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype0] [ OK ] SocketCommunicatorTest.SendAndRecvTimeout (5001 ms) [ RUN ] SocketCommunicatorTest.TCPSocketBind [ OK ] SocketCommunicatorTest.TCPSocketBind (1 ms) [----------] 3 tests from SocketCommunicatorTest (12004 ms total) [----------] 3 tests from SplitStringTest [ RUN ] SplitStringTest.SplitStringUsingCompoundDelim [ OK ] SplitStringTest.SplitStringUsingCompoundDelim (0 ms) [ RUN ] SplitStringTest.testSplitStringUsingSingleDelim [ OK ] SplitStringTest.testSplitStringUsingSingleDelim (0 ms) [ RUN ] SplitStringTest.testSplitingNoDelimString [ OK ] SplitStringTest.testSplitingNoDelimString (0 ms) [----------] 3 tests from SplitStringTest (0 ms total) [----------] 1 test from StringPrintf [ RUN ] StringPrintf.normal [ OK ] StringPrintf.normal (0 ms) [----------] 1 test from StringPrintf (0 ms total) [----------] 13 tests from ArrayTest [ RUN ] ArrayTest.TestCreate [ OK ] ArrayTest.TestCreate (0 ms) [ RUN ] ArrayTest.TestRange [ OK ] ArrayTest.TestRange (0 ms) [ RUN ] ArrayTest.TestFull [ OK ] ArrayTest.TestFull (0 ms) [ RUN ] ArrayTest.TestClone [ OK ] ArrayTest.TestClone (0 ms) [ RUN ] ArrayTest.TestAsNumBits [ OK ] ArrayTest.TestAsNumBits (0 ms) [ RUN ] ArrayTest.Arith [ OK ] ArrayTest.Arith (0 ms) [ RUN ] ArrayTest.HStack [ OK ] ArrayTest.HStack (0 ms) [ RUN ] ArrayTest.TestIndexSelect [ OK ] ArrayTest.TestIndexSelect (0 ms) [ RUN ] ArrayTest.TestRelabel_ [ OK ] ArrayTest.TestRelabel_ (0 ms) [ RUN ] ArrayTest.CumSum [ OK ] ArrayTest.CumSum (0 ms) [ RUN ] ArrayTest.Scatter_ [ OK ] ArrayTest.Scatter_ (1 ms) [ RUN ] ArrayTest.NonZero [ OK ] ArrayTest.NonZero (0 ms) [ RUN ] ArrayTest.Sort [ OK ] ArrayTest.Sort (0 ms) [----------] 13 tests from ArrayTest (1 ms total) [----------] 2 tests from MatrixTest [ RUN ] MatrixTest.TestToSimpleCsr [ OK ] MatrixTest.TestToSimpleCsr (0 ms) [ RUN ] MatrixTest.TestToSimpleCoo [ OK ] MatrixTest.TestToSimpleCoo (0 ms) [----------] 2 tests from MatrixTest (0 ms total) [----------] 2 tests from DisjointUnionTest [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCoo [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCoo (1 ms) [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCsr [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCsr (0 ms) [----------] 2 tests from DisjointUnionTest (1 ms total) [----------] 2 tests from SliceContiguousChunk [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCoo [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCoo (0 ms) [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCsr [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCsr (1 ms) [----------] 2 tests from SliceContiguousChunk (1 ms total) [----------] 2 tests from MatrixUnionTest [ RUN ] MatrixUnionTest.TestMatrixUnionCsr [ OK ] MatrixUnionTest.TestMatrixUnionCsr (0 ms) [ RUN ] MatrixUnionTest.TestMatrixUnionCoo [ OK ] MatrixUnionTest.TestMatrixUnionCoo (0 ms) [----------] 2 tests from MatrixUnionTest (0 ms total) [----------] 1 test from LineGraphTest [ RUN ] LineGraphTest.LineGraphCOO [ OK ] LineGraphTest.LineGraphCOO (0 ms) [----------] 1 test from LineGraphTest (0 ms total) [----------] 3 tests from CsrmmTest [ RUN ] CsrmmTest.TestCsrmm [ OK ] CsrmmTest.TestCsrmm (1 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (0 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (0 ms) [----------] 3 tests from CsrmmTest (1 ms total) [----------] 2 tests from PartitionTest [ RUN ] PartitionTest.TestRemainderPartition [ OK ] PartitionTest.TestRemainderPartition (0 ms) [ RUN ] PartitionTest.TestRangePartition [ OK ] PartitionTest.TestRangePartition (0 ms) [----------] 2 tests from PartitionTest (0 ms total) [----------] 11 tests from RowwiseTest [ RUN ] RowwiseTest.TestCSRSampling [ OK ] RowwiseTest.TestCSRSampling (10 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] RowwiseTest.TestCSRSamplingUniform (1 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (8 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (6 ms) [ RUN ] RowwiseTest.TestCOOSampling PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-pure_gpu-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cuda_indices-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cuda_indices-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cpu_indices-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cpu_indices-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-pure_gpu-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-pure_gpu-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] [ OK ] RowwiseTest.TestCOOSampling (105406 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] [ OK ] RowwiseTest.TestCOOSamplingUniform (16375 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSampling PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] [ OK ] RowwiseTest.TestCOOPerEtypeSampling (25511 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-True] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] PASSED [ 5%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] PASSED [ 5%] tests/pytorch/test_dist_optim.py::test_sparse_opt SKIPPED (Do not su...) [ 5%] tests/pytorch/test_geometry.py::test_fps PASSED [ 5%] tests/pytorch/test_geometry.py::test_fps_start_idx PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (15655 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (0 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (1774 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSamplingBiased (12 ms) [----------] 11 tests from RowwiseTest (164760 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-kd-tree] [ OK ] SampleUtilsTest.TestWithReplacement (2607 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-blas] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce] PASSED [ 6%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-sharemem] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 7%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 7%] tests/pytorch/test_ipc.py::test_torch_ipc SKIPPED (Do not support wi...) [ 7%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv0[2] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype0] PASSED [ 10%][ OK ] SampleUtilsTest.TestWithoutReplacementUnique (4206 ms) [----------] 3 tests from SampleUtilsTest (6813 ms total) [----------] 3 tests from RandomTest [ RUN ] RandomTest.TestChoice [ OK ] RandomTest.TestChoice (0 ms) [ RUN ] RandomTest.TestUniformChoice [ OK ] RandomTest.TestUniformChoice (0 ms) [ RUN ] RandomTest.TestBiasedChoice [ OK ] RandomTest.TestBiasedChoice (8 ms) [----------] 3 tests from RandomTest (8 ms total) [----------] 4 tests from Serialize [ RUN ] Serialize.UnitGraph_COO [ OK ] Serialize.UnitGraph_COO (79 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (58 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (59 ms) [ RUN ] Serialize.HeteroGraph tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype1] [ OK ] Serialize.HeteroGraph (123 ms) [----------] 4 tests from Serialize (319 ms total) [----------] 3 tests from SmartPtrTest/0, where TypeParam = std::shared_ptr [ RUN ] SmartPtrTest/0.Obj_Test [ OK ] SmartPtrTest/0.Obj_Test (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test1 [ OK ] SmartPtrTest/0.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test2 [ OK ] SmartPtrTest/0.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/0 (0 ms total) [----------] 3 tests from SmartPtrTest/1, where TypeParam = std::unique_ptr > [ RUN ] SmartPtrTest/1.Obj_Test [ OK ] SmartPtrTest/1.Obj_Test (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test1 [ OK ] SmartPtrTest/1.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test2 [ OK ] SmartPtrTest/1.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/1 (0 ms total) [----------] 19 tests from SpmatTest [ RUN ] SpmatTest.COOToCSR PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype0] [ OK ] SpmatTest.COOToCSR (550 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (0 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (0 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (10 ms) [ RUN ] SpmatTest.COOGetData [ OK ] SpmatTest.COOGetData (68 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (4 ms) [ RUN ] SpmatTest.TestCSRGetRowNNZ [ OK ] SpmatTest.TestCSRGetRowNNZ (0 ms) [ RUN ] SpmatTest.TestCSRGetRowColumnIndices [ OK ] SpmatTest.TestCSRGetRowColumnIndices (0 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (0 ms) [ RUN ] SpmatTest.CSRGetData [ OK ] SpmatTest.CSRGetData (0 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (1 ms) [ RUN ] SpmatTest.CSRTranspose [ OK ] SpmatTest.CSRTranspose (0 ms) [ RUN ] SpmatTest.CSRToCOO [ OK ] SpmatTest.CSRToCOO (0 ms) [ RUN ] SpmatTest.TestCSRSliceRows PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype0] [ OK ] SpmatTest.TestCSRSliceRows (600 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (2 ms) [ RUN ] SpmatTest.CSRHasDuplicate [ OK ] SpmatTest.CSRHasDuplicate (0 ms) [ RUN ] SpmatTest.CSRSort [ OK ] SpmatTest.CSRSort (2 ms) [ RUN ] SpmatTest.TestCSRReorder [ OK ] SpmatTest.TestCSRReorder (0 ms) [----------] 19 tests from SpmatTest (1237 ms total) [----------] 6 tests from SpmmTest [ RUN ] SpmmTest.TestSpmmCopyLhs [ OK ] SpmmTest.TestSpmmCopyLhs (0 ms) [ RUN ] SpmmTest.TestSpmmCopyRhs [ OK ] SpmmTest.TestSpmmCopyRhs (0 ms) [ RUN ] SpmmTest.TestSpmmAdd [ OK ] SpmmTest.TestSpmmAdd (0 ms) [ RUN ] SpmmTest.TestSpmmSub [ OK ] SpmmTest.TestSpmmSub (1 ms) [ RUN ] SpmmTest.TestSpmmMul [ OK ] SpmmTest.TestSpmmMul (0 ms) [ RUN ] SpmmTest.TestSpmmDiv [ OK ] SpmmTest.TestSpmmDiv (0 ms) [----------] 6 tests from SpmmTest (1 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (91 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype0] [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (128 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve [ OK ] UniGraphTest.TestUnitGraph_Reserve (2 ms) [----------] 7 tests from UniGraphTest (221 ms total) [----------] 4 tests from ZeroCopySerialize [ RUN ] ZeroCopySerialize.NDArray [ OK ] ZeroCopySerialize.NDArray (0 ms) [ RUN ] ZeroCopySerialize.ZeroShapeNDArray [ OK ] ZeroCopySerialize.ZeroShapeNDArray (0 ms) [ RUN ] ZeroCopySerialize.SharedMem [ OK ] ZeroCopySerialize.SharedMem (0 ms) [ RUN ] ZeroCopySerialize.HeteroGraph [ OK ] ZeroCopySerialize.HeteroGraph (4 ms) [----------] 4 tests from ZeroCopySerialize (4 ms total) [----------] Global test environment tear-down [==========] 101 tests from 23 test suites ran. (185379 ms total) [ PASSED ] 101 tests. ~/jenkins/workspace/dgl_PR-4483@5 Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_tagconv[1] PASSED [ 27%] tests/pytorch/test_nn.py::test_tagconv[2] PASSED [ 27%] tests/pytorch/test_nn.py::test_set2set PASSED [ 27%] tests/pytorch/test_nn.py::test_glob_att_pool PASSED [ 27%] tests/pytorch/test_nn.py::test_simple_pool PASSED [ 27%] tests/pytorch/test_nn.py::test_set_trans [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 af1f96e5505d40180d41af75bbefc296ca4886da9e4093e78244f661ab3e3155 PASSED [ 27%] tests/pytorch/test_nn.py::test_rgcn[1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_rgcn[1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_rgcn[8-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_rgcn[8-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_rgcn[32-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_rgcn[32-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 29%]$ docker rm -f af1f96e5505d40180d41af75bbefc296ca4886da9e4093e78244f661ab3e3155 tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype0] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4483@5 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype0] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4483@5 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 30%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype1] Cleaning workspace Fetching without tags PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype0] Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype0] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) PASSED [ 32%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype0] Commit message: "revert the test code being reverted in #4956" Cleaning workspace PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype1] > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype1] + docker pull dgllib/dgl-ci-cpu:v220816 PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype0] v220816: Pulling from dgllib/dgl-ci-cpu Digest: sha256:64b385c33b44dc57cb96ff264a84d8dfb8ced0caa9b30fbc4cec6d5ee511b099 Status: Image is up to date for dgllib/dgl-ci-cpu:v220816 docker.io/dgllib/dgl-ci-cpu:v220816 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 35%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype1] + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer PASSED [ 36%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype1] dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4483@5 -v /root/jenkins/workspace/dgl_PR-4483@5:/root/jenkins/workspace/dgl_PR-4483@5:rw,z -v /root/jenkins/workspace/dgl_PR-4483@5@tmp:/root/jenkins/workspace/dgl_PR-4483@5@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype1] $ docker top 3833efdb5959328664bb342f17e7002e66aeafbc8628e14cac20ef1b4bcd6d42 -eo pid,comm PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype0] [Pipeline] { [Pipeline] stage [Pipeline] { (Tensorflow CPU Unit test) [Pipeline] sh PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype1] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dgl_sparse dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype1] The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@4c12d383; decorates RemoteLauncher[hudson.remoting.Channel@653504b6:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 39%]Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype1] Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype0] Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483@5/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype1] [Pipeline] sh PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype1] + git submodule update --recursive --init PASSED [ 42%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] > git clean -fdx # timeout=10 Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS'... PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/dlpack'... PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/dmlc-core'... PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/googletest'... PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/libxsmm'... PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype1] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype0] PASSED [ 48%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype1] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype0] PASSED [ 51%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_cheb_conv[1] PASSED [ 52%] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] PASSED [ 52%] tests/pytorch/test_nn.py::test_sequential PASSED [ 52%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_linear[1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_linear[2] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_linear[100] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_embedding[1] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_embedding[2] PASSED [ 54%] tests/pytorch/test_nn.py::test_hetero_embedding[100] PASSED [ 54%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] PASSED [ 54%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] PASSED [ 54%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/pcg'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/thrust'... PASSED [ 54%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm'... PASSED [ 54%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/googletest'... PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/libuv'... PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/pybind11'... PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/thrust/dependencies/cub'... PASSED [ 55%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/dlpack'... PASSED [ 55%] tests/pytorch/test_nn.py::test_heterognnexplainer[1-5-idtype0-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@5/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so, build/dgl_sparse/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_unit_test.sh tensorflow cpu Requirement already satisfied: pytest in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil Downloading psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 280.2/280.2 kB 7.6 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 34.3 MB/s eta 0:00:00 Collecting pydantic Downloading pydantic-1.10.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.1/3.1 MB 104.6 MB/s eta 0:00:00 Collecting pandas Using cached pandas-1.1.5-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 69.2 MB/s eta 0:00:00 Collecting ogb Downloading ogb-1.3.5-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 17.9 MB/s eta 0:00:00 Collecting torchmetrics Downloading torchmetrics-0.11.0-py3-none-any.whl (512 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 512.4/512.4 kB 72.3 MB/s eta 0:00:00 Requirement already satisfied: packaging in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (21.3) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: iniconfig in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.11.0) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: typing-extensions>=4.2.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pandas) (1.18.5) Collecting pytz>=2017.2 Downloading pytz-2022.7-py2.py3-none-any.whl (499 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 499.4/499.4 kB 68.4 MB/s eta 0:00:00 Requirement already satisfied: setuptools in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 7.0 MB/s eta 0:00:00 Requirement already satisfied: pyparsing in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Collecting outdated>=0.2.0 Downloading outdated-0.2.2-py2.py3-none-any.whl (7.5 kB) Collecting torch>=1.6.0 Downloading torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl (887.5 MB) PASSED [ 55%] tests/pytorch/test_nn.py::test_heterognnexplainer[2-5-idtype0-g0] Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4483 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4483 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 55%] tests/pytorch/test_nn.py::test_jumping_knowledge PASSED [ 55%] tests/pytorch/test_nn.py::test_edge_predictor[dot] PASSED [ 55%] tests/pytorch/test_nn.py::test_edge_predictor[cos] PASSED [ 55%] tests/pytorch/test_nn.py::test_edge_predictor[ele] PASSED [ 55%] tests/pytorch/test_nn.py::test_edge_predictor[cat] PASSED [ 55%] tests/pytorch/test_nn.py::test_ke_score_funcs PASSED [ 55%] tests/pytorch/test_nn.py::test_twirls PASSED [ 55%] tests/pytorch/test_nn.py::test_typed_linear[None-None-4] PASSED [ 55%] tests/pytorch/test_nn.py::test_typed_linear[None-None-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-4] PASSED [ 55%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-4] PASSED [ 55%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype1] Cleaning workspace Fetching without tags PASSED [ 55%] tests/pytorch/test_nn.py::test_radius_graph[True-True] PASSED [ 55%] tests/pytorch/test_nn.py::test_radius_graph[True-False] PASSED [ 55%] tests/pytorch/test_nn.py::test_radius_graph[False-True] PASSED [ 55%] tests/pytorch/test_nn.py::test_radius_graph[False-False] PASSED [ 55%] tests/pytorch/test_nn.py::test_group_rev_res[idtype0] PASSED [ 55%] tests/pytorch/test_nn.py::test_group_rev_res[idtype1] PASSED [ 55%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-16] Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) PASSED [ 55%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-16] Commit message: "revert the test code being reverted in #4956" Cleaning workspace PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-32] [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 887.5/887.5 MB 5.0 MB/s eta 0:00:00 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-16] + docker pull dgllib/dgl-ci-gpu:cu102_v221216 PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-16] cu102_v221216: Pulling from dgllib/dgl-ci-gpu Digest: sha256:cf8ce537d5d56256e31af5cb35a9affab8f1f71fed8e947143e5eaf4fec95416 Status: Image is up to date for dgllib/dgl-ci-gpu:cu102_v221216 docker.io/dgllib/dgl-ci-gpu:cu102_v221216 [Pipeline] } [Pipeline] // withEnv PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-32] [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (4.64.0) Collecting scikit-learn>=0.20.0 PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] + docker inspect -f . dgllib/dgl-ci-gpu:cu102_v221216 . [Pipeline] } Using cached scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.8 MB) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Requirement already satisfied: requests in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.4.1) [Pipeline] // withEnv [Pipeline] withDockerContainer dglci-manual-gpu-worker does not seem to be running inside a container $ docker run -t -d -u 0:0 --runtime nvidia -w /root/jenkins/workspace/dgl_PR-4483 -v /root/jenkins/workspace/dgl_PR-4483:/root/jenkins/workspace/dgl_PR-4483:rw,z -v /root/jenkins/workspace/dgl_PR-4483@tmp:/root/jenkins/workspace/dgl_PR-4483@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu102_v221216 cat Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Collecting nvidia-cuda-runtime-cu11==11.7.99 Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 849.3/849.3 kB 92.9 MB/s eta 0:00:00 Collecting nvidia-cublas-cu11==11.10.3.66 Downloading nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl (317.1 MB) PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] $ docker top 3fd1ac44db652a307128f25ad5858ac3323da734a9f3b56cca119ad2b3518ec5 -eo pid,comm [Pipeline] { PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] [Pipeline] sh PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dgl_sparse dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@54551c95; decorates RemoteLauncher[hudson.remoting.Channel@41230701:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/METIS'... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/dlpack'... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 317.1/317.1 MB 12.2 MB/s eta 0:00:00 Collecting nvidia-cudnn-cu11==8.5.0.96 Downloading nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB) Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/dmlc-core'... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/googletest'... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/libxsmm'... PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 557.1/557.1 MB 7.0 MB/s eta 0:00:00 PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] Collecting nvidia-cuda-nvrtc-cu11==11.7.99 Downloading nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21.0/21.0 MB 93.2 MB/s eta 0:00:00 Requirement already satisfied: wheel in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.6.0->ogb) (0.37.1) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.0) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.6.15) PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] Installing collected packages: pytz, littleutils, threadpoolctl, pyyaml, pydantic, psutil, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cublas-cu11, isodate, scikit-learn, rdflib, pandas, outdated, nvidia-cudnn-cu11, torch, torchmetrics, ogb PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/pcg'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe'... PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/thrust'... PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm'... PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/METIS/GKlib'... PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/googletest'... PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/libuv'... PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/pybind11'... PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/thrust/dependencies/cub'... PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/dlpack'... PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash Successfully installed isodate-0.6.1 littleutils-0.2.2 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 ogb-1.3.5 outdated-0.2.2 pandas-1.1.5 psutil-5.9.4 pydantic-1.10.4 pytz-2022.7 pyyaml-6.0 rdflib-6.2.0 scikit-learn-1.0.2 threadpoolctl-3.1.0 torch-1.13.1 torchmetrics-0.11.0 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4483@5 collecting ... PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so, build/dgl_sparse/*.so from dgl-gpu-linux [Pipeline] sh PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] + bash tests/scripts/task_cpp_unit_test.sh /root/jenkins/workspace/dgl_PR-4483 ~/jenkins/workspace/dgl_PR-4483/build ~/jenkins/workspace/dgl_PR-4483 total 321M drwxr-xr-x 2 root root 4.0K Jan 8 05:43 dgl_sparse -rwxr-xr-x 1 root root 318M Jan 8 05:24 libdgl.so -rwxr-xr-x 1 root root 3.4M Jan 8 05:24 runUnitTests drwxr-xr-x 3 root root 4.0K Jan 8 05:43 tensoradapter Running main() from /root/jenkins/workspace/dgl_PR-4483@6/third_party/googletest/googletest/src/gtest_main.cc [==========] Running 101 tests from 23 test suites. [----------] Global test environment set-up. [----------] 1 test from GraphTest [ RUN ] GraphTest.TestNumVertices [ OK ] GraphTest.TestNumVertices (0 ms) [----------] 1 test from GraphTest (0 ms total) [----------] 3 tests from MessageQueueTest [ RUN ] MessageQueueTest.AddRemove [05:43:35] /root/jenkins/workspace/dgl_PR-4483@6/src/rpc/network/msg_queue.cc:28: Message is larger than the queue. [ OK ] MessageQueueTest.AddRemove (0 ms) [ RUN ] MessageQueueTest.EmptyAndNoMoreAdd [ OK ] MessageQueueTest.EmptyAndNoMoreAdd (0 ms) [ RUN ] MessageQueueTest.MultiThread [ OK ] MessageQueueTest.MultiThread (7 ms) [----------] 3 tests from MessageQueueTest (7 ms total) [----------] 3 tests from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] collected 2473 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype1] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype1] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] SKIPPED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype0] SKIPPED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype1] SKIPPED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype0] [ OK ] SocketCommunicatorTest.SendAndRecv (7001 ms) [ RUN ] SocketCommunicatorTest.SendAndRecvTimeout PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype0] [ OK ] SocketCommunicatorTest.SendAndRecvTimeout (5001 ms) [ RUN ] SocketCommunicatorTest.TCPSocketBind [ OK ] SocketCommunicatorTest.TCPSocketBind (0 ms) [----------] 3 tests from SocketCommunicatorTest (12002 ms total) [----------] 3 tests from SplitStringTest [ RUN ] SplitStringTest.SplitStringUsingCompoundDelim [ OK ] SplitStringTest.SplitStringUsingCompoundDelim (0 ms) [ RUN ] SplitStringTest.testSplitStringUsingSingleDelim [ OK ] SplitStringTest.testSplitStringUsingSingleDelim (0 ms) [ RUN ] SplitStringTest.testSplitingNoDelimString [ OK ] SplitStringTest.testSplitingNoDelimString (0 ms) [----------] 3 tests from SplitStringTest (0 ms total) [----------] 1 test from StringPrintf [ RUN ] StringPrintf.normal [ OK ] StringPrintf.normal (0 ms) [----------] 1 test from StringPrintf (0 ms total) [----------] 13 tests from ArrayTest [ RUN ] ArrayTest.TestCreate [ OK ] ArrayTest.TestCreate (0 ms) [ RUN ] ArrayTest.TestRange PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 4%] tests/compute/test_data.py::test_minigc [ OK ] ArrayTest.TestRange (711 ms) [ RUN ] ArrayTest.TestFull [ OK ] ArrayTest.TestFull (0 ms) [ RUN ] ArrayTest.TestClone [ OK ] ArrayTest.TestClone (0 ms) [ RUN ] ArrayTest.TestAsNumBits [ OK ] ArrayTest.TestAsNumBits (0 ms) [ RUN ] ArrayTest.Arith [ OK ] ArrayTest.Arith (1 ms) [ RUN ] ArrayTest.HStack [ OK ] ArrayTest.HStack (1 ms) [ RUN ] ArrayTest.TestIndexSelect [ OK ] ArrayTest.TestIndexSelect (0 ms) [ RUN ] ArrayTest.TestRelabel_ [ OK ] ArrayTest.TestRelabel_ (1 ms) [ RUN ] ArrayTest.CumSum [ OK ] ArrayTest.CumSum (0 ms) [ RUN ] ArrayTest.Scatter_ [ OK ] ArrayTest.Scatter_ (1 ms) [ RUN ] ArrayTest.NonZero [ OK ] ArrayTest.NonZero (0 ms) [ RUN ] ArrayTest.Sort [ OK ] ArrayTest.Sort (1 ms) [----------] 13 tests from ArrayTest (716 ms total) [----------] 2 tests from MatrixTest [ RUN ] MatrixTest.TestToSimpleCsr [ OK ] MatrixTest.TestToSimpleCsr (0 ms) [ RUN ] MatrixTest.TestToSimpleCoo [ OK ] MatrixTest.TestToSimpleCoo (0 ms) [----------] 2 tests from MatrixTest (0 ms total) [----------] 2 tests from DisjointUnionTest [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCoo [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCoo (0 ms) [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCsr [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCsr (1 ms) [----------] 2 tests from DisjointUnionTest (1 ms total) [----------] 2 tests from SliceContiguousChunk [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCoo [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCoo (0 ms) [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCsr [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCsr (0 ms) [----------] 2 tests from SliceContiguousChunk (0 ms total) [----------] 2 tests from MatrixUnionTest [ RUN ] MatrixUnionTest.TestMatrixUnionCsr [ OK ] MatrixUnionTest.TestMatrixUnionCsr (0 ms) [ RUN ] MatrixUnionTest.TestMatrixUnionCoo [ OK ] MatrixUnionTest.TestMatrixUnionCoo (0 ms) [----------] 2 tests from MatrixUnionTest (0 ms total) [----------] 1 test from LineGraphTest [ RUN ] LineGraphTest.LineGraphCOO [ OK ] LineGraphTest.LineGraphCOO (0 ms) [----------] 1 test from LineGraphTest (0 ms total) [----------] 3 tests from CsrmmTest [ RUN ] CsrmmTest.TestCsrmm [ OK ] CsrmmTest.TestCsrmm (335 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (5 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (1 ms) [----------] 3 tests from CsrmmTest (341 ms total) [----------] 2 tests from PartitionTest [ RUN ] PartitionTest.TestRemainderPartition [ OK ] PartitionTest.TestRemainderPartition (18 ms) [ RUN ] PartitionTest.TestRangePartition [ OK ] PartitionTest.TestRangePartition (23 ms) [----------] 2 tests from PartitionTest (41 ms total) [----------] 11 tests from RowwiseTest [ RUN ] RowwiseTest.TestCSRSampling [ OK ] RowwiseTest.TestCSRSampling (7 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] RowwiseTest.TestCSRSamplingUniform (1 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (3 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (3 ms) [ RUN ] RowwiseTest.TestCOOSampling PASSED [ 4%] tests/compute/test_data.py::test_gin PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] [ OK ] RowwiseTest.TestCOOSampling (5291 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (868 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSampling PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] [ OK ] RowwiseTest.TestCOOPerEtypeSampling (1323 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (875 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (1 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (85 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSamplingBiased (1 ms) [----------] 11 tests from RowwiseTest (8458 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] [ OK ] SampleUtilsTest.TestWithReplacement (2470 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (4200 ms) [----------] 3 tests from SampleUtilsTest (6670 ms total) [----------] 3 tests from RandomTest [ RUN ] RandomTest.TestChoice [ OK ] RandomTest.TestChoice (1 ms) [ RUN ] RandomTest.TestUniformChoice [ OK ] RandomTest.TestUniformChoice (0 ms) [ RUN ] RandomTest.TestBiasedChoice [ OK ] RandomTest.TestBiasedChoice (13 ms) [----------] 3 tests from RandomTest (14 ms total) [----------] 4 tests from Serialize [ RUN ] Serialize.UnitGraph_COO [ OK ] Serialize.UnitGraph_COO (4 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (0 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (0 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (0 ms) [----------] 4 tests from Serialize (4 ms total) [----------] 3 tests from SmartPtrTest/0, where TypeParam = std::shared_ptr [ RUN ] SmartPtrTest/0.Obj_Test [ OK ] SmartPtrTest/0.Obj_Test (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test1 [ OK ] SmartPtrTest/0.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test2 [ OK ] SmartPtrTest/0.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/0 (0 ms total) [----------] 3 tests from SmartPtrTest/1, where TypeParam = std::unique_ptr > [ RUN ] SmartPtrTest/1.Obj_Test [ OK ] SmartPtrTest/1.Obj_Test (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test1 [ OK ] SmartPtrTest/1.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test2 [ OK ] SmartPtrTest/1.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/1 (0 ms total) [----------] 19 tests from SpmatTest [ RUN ] SpmatTest.COOToCSR [ OK ] SpmatTest.COOToCSR (4 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (1 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (1 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (0 ms) [ RUN ] SpmatTest.COOGetData [ OK ] SpmatTest.COOGetData (10 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (5 ms) [ RUN ] SpmatTest.TestCSRGetRowNNZ [ OK ] SpmatTest.TestCSRGetRowNNZ (0 ms) [ RUN ] SpmatTest.TestCSRGetRowColumnIndices [ OK ] SpmatTest.TestCSRGetRowColumnIndices (1 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (0 ms) [ RUN ] SpmatTest.CSRGetData [ OK ] SpmatTest.CSRGetData (2 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (0 ms) [ RUN ] SpmatTest.CSRTranspose [ OK ] SpmatTest.CSRTranspose (1 ms) [ RUN ] SpmatTest.CSRToCOO [ OK ] SpmatTest.CSRToCOO (1 ms) [ RUN ] SpmatTest.TestCSRSliceRows [ OK ] SpmatTest.TestCSRSliceRows (53 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (6 ms) [ RUN ] SpmatTest.CSRHasDuplicate [ OK ] SpmatTest.CSRHasDuplicate (1 ms) [ RUN ] SpmatTest.CSRSort [ OK ] SpmatTest.CSRSort (1 ms) [ RUN ] SpmatTest.TestCSRReorder [ OK ] SpmatTest.TestCSRReorder (0 ms) [----------] 19 tests from SpmatTest (87 ms total) [----------] 6 tests from SpmmTest [ RUN ] SpmmTest.TestSpmmCopyLhs [ OK ] SpmmTest.TestSpmmCopyLhs (1 ms) [ RUN ] SpmmTest.TestSpmmCopyRhs [ OK ] SpmmTest.TestSpmmCopyRhs (0 ms) [ RUN ] SpmmTest.TestSpmmAdd [ OK ] SpmmTest.TestSpmmAdd (0 ms) [ RUN ] SpmmTest.TestSpmmSub [ OK ] SpmmTest.TestSpmmSub (1 ms) [ RUN ] SpmmTest.TestSpmmMul [ OK ] SpmmTest.TestSpmmMul (0 ms) [ RUN ] SpmmTest.TestSpmmDiv [ OK ] SpmmTest.TestSpmmDiv (0 ms) [----------] 6 tests from SpmmTest (2 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (13 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve [ OK ] UniGraphTest.TestUnitGraph_Reserve (0 ms) [----------] 7 tests from UniGraphTest (15 ms total) [----------] 4 tests from ZeroCopySerialize [ RUN ] ZeroCopySerialize.NDArray [ OK ] ZeroCopySerialize.NDArray (0 ms) [ RUN ] ZeroCopySerialize.ZeroShapeNDArray [ OK ] ZeroCopySerialize.ZeroShapeNDArray (0 ms) [ RUN ] ZeroCopySerialize.SharedMem [ OK ] ZeroCopySerialize.SharedMem (0 ms) [ RUN ] ZeroCopySerialize.HeteroGraph [ OK ] ZeroCopySerialize.HeteroGraph (0 ms) [----------] 4 tests from ZeroCopySerialize (0 ms total) [----------] Global test environment tear-down [==========] 101 tests from 23 test suites ran. (28358 ms total) [ PASSED ] 101 tests. PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] ~/jenkins/workspace/dgl_PR-4483 Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 3fd1ac44db652a307128f25ad5858ac3323da734a9f3b56cca119ad2b3518ec5 PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] $ docker rm -f 3fd1ac44db652a307128f25ad5858ac3323da734a9f3b56cca119ad2b3518ec5 PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4483 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4483 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] + docker pull dgllib/dgl-ci-gpu:cu101_v220816 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] cu101_v220816: Pulling from dgllib/dgl-ci-gpu Digest: sha256:ca40fc52876a2563a4e904d0c271d658c1acc8e6a4f8611b578bb49f8c7fd925 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220816 docker.io/dgllib/dgl-ci-gpu:cu101_v220816 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dglci-manual-gpu-worker does not seem to be running inside a container $ docker run -t -d -u 0:0 --runtime nvidia -w /root/jenkins/workspace/dgl_PR-4483 -v /root/jenkins/workspace/dgl_PR-4483:/root/jenkins/workspace/dgl_PR-4483:rw,z -v /root/jenkins/workspace/dgl_PR-4483@tmp:/root/jenkins/workspace/dgl_PR-4483@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] $ docker top efa14b2bb0362a1de17c044a296c0d2fb549acfca098fd5264b2ce6dd2ca5d22 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (Tensorflow GPU Unit test) [Pipeline] sh PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dgl_sparse dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@43af0929; decorates RemoteLauncher[hudson.remoting.Channel@41230701:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/METIS'... PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/dlpack'... PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/dmlc-core'... PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/googletest'... PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/libxsmm'... PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/pcg'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/phmap'... PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe'... PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/thrust'... PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm'... PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/METIS/GKlib'... PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/googletest'... PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/libuv'... PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/pybind11'... PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' PASSED [ 4%] tests/compute/test_data.py::test_fraud Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/thrust/dependencies/cub'... PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/rang'... PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/vta-hw'... PASSED [ 4%] tests/compute/test_data.py::test_fakenews Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so, build/dgl_sparse/*.so from dgl-gpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_unit_test.sh tensorflow gpu PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] Requirement already satisfied: pytest in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil Downloading psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 280.2/280.2 kB 9.0 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 38.2 MB/s eta 0:00:00 PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] Collecting pydantic Downloading pydantic-1.10.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.1/3.1 MB 98.9 MB/s eta 0:00:00 Collecting pandas Using cached pandas-1.1.5-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) Collecting rdflib PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 63.5 MB/s eta 0:00:00 Collecting ogb Downloading ogb-1.3.5-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 17.7 MB/s eta 0:00:00 Collecting torchmetrics Downloading torchmetrics-0.11.0-py3-none-any.whl (512 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 512.4/512.4 kB 67.5 MB/s eta 0:00:00 Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: packaging in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (21.3) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.11.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: iniconfig in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: typing-extensions>=4.2.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pandas) (1.18.5) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Collecting pytz>=2017.2 Downloading pytz-2022.7-py2.py3-none-any.whl (499 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 499.4/499.4 kB 70.4 MB/s eta 0:00:00 Requirement already satisfied: pyparsing in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 10.1 MB/s eta 0:00:00 Requirement already satisfied: setuptools in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (4.64.0) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Collecting outdated>=0.2.0 Downloading outdated-0.2.2-py2.py3-none-any.whl (7.5 kB) Collecting torch>=1.6.0 Downloading torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl (887.5 MB) PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 887.5/887.5 MB 3.7 MB/s eta 0:00:00 PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] Collecting scikit-learn>=0.20.0 Using cached scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.8 MB) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Requirement already satisfied: requests in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.4.1) Collecting nvidia-cuda-nvrtc-cu11==11.7.99 Downloading nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21.0/21.0 MB 87.2 MB/s eta 0:00:00 Collecting nvidia-cuda-runtime-cu11==11.7.99 Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 849.3/849.3 kB 93.7 MB/s eta 0:00:00 Collecting nvidia-cudnn-cu11==8.5.0.96 Downloading nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB) PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 557.1/557.1 MB 5.9 MB/s eta 0:00:00 PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] Collecting nvidia-cublas-cu11==11.10.3.66 Downloading nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl (317.1 MB) PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 317.1/317.1 MB 9.6 MB/s eta 0:00:00 PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] Requirement already satisfied: wheel in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.6.0->ogb) (0.37.1) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.6.15) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.0) Installing collected packages: pytz, littleutils, threadpoolctl, pyyaml, pydantic, psutil, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cublas-cu11, isodate, scikit-learn, rdflib, pandas, outdated, nvidia-cudnn-cu11, torch, torchmetrics, ogb PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 75%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 76%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 77%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 78%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-5] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-3] PASSED [ 78%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-5] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-3] PASSED [ 79%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 80%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-16-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-32-16] PASSED [ 80%] tests/pytorch/test_nn.py::test_DeepWalk PASSED [ 81%] tests/pytorch/test_nn.py::test_degree_encoder[in-8-2] PASSED [ 81%] tests/pytorch/test_nn.py::test_degree_encoder[in-8-6] PASSED [ 81%] tests/pytorch/test_nn.py::test_degree_encoder[in-16-2] PASSED [ 81%] tests/pytorch/test_nn.py::test_degree_encoder[in-16-6] PASSED [ 81%] tests/pytorch/test_nn.py::test_degree_encoder[out-8-2] PASSED [ 81%] tests/pytorch/test_nn.py::test_degree_encoder[out-8-6] PASSED [ 81%] tests/pytorch/test_nn.py::test_degree_encoder[out-16-2] PASSED [ 81%] tests/pytorch/test_nn.py::test_degree_encoder[out-16-6] PASSED [ 81%] tests/pytorch/test_nn.py::test_degree_encoder[both-8-2] PASSED [ 81%] tests/pytorch/test_nn.py::test_degree_encoder[both-8-6] PASSED [ 81%] tests/pytorch/test_nn.py::test_degree_encoder[both-16-2] PASSED [ 81%] tests/pytorch/test_nn.py::test_degree_encoder[both-16-6] PASSED [ 81%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype0] PASSED [ 81%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype1] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-3-1] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-3-4] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-5-1] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-5-4] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-3-1] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-3-4] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-5-1] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-5-4] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-3-1] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-3-4] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-5-1] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-5-4] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-3-1] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-3-4] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-5-1] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-5-4] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-3-1] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-3-4] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-5-1] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-5-4] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-3-1] PASSED [ 81%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-3-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-5-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-5-4] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-3-1] PASSED [ 82%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-3-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-5-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-5-4] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-3-1] PASSED [ 83%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-3-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-5-1] PASSED [ 84%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-5-4] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-True-8-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-True-8-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-True-16-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-True-16-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-False-8-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-False-8-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-False-16-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-False-16-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-True-8-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-True-8-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-True-16-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-True-16-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-False-8-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-False-8-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-False-16-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-False-16-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-True-8-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-True-8-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-True-16-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-True-16-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-False-8-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-False-8-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-False-16-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-False-16-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-True-8-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-True-8-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-True-16-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-True-16-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-False-8-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-False-8-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-False-16-128] PASSED [ 84%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-False-16-512] PASSED [ 84%] tests/pytorch/test_nn.py::test_GraphormerLayer[True-add] PASSED [ 84%] tests/pytorch/test_nn.py::test_GraphormerLayer[True-mul] PASSED [ 85%] tests/pytorch/test_nn.py::test_GraphormerLayer[False-add] PASSED [ 85%] tests/pytorch/test_nn.py::test_GraphormerLayer[False-mul] PASSED [ 85%] tests/pytorch/test_nn.py::test_PathEncoder[1-16-1] PASSED [ 85%] tests/pytorch/test_nn.py::test_PathEncoder[1-16-4] PASSED [ 85%] tests/pytorch/test_nn.py::test_PathEncoder[8-16-1] PASSED [ 85%] tests/pytorch/test_nn.py::test_PathEncoder[8-16-4] PASSED [ 85%] tests/pytorch/test_nn.py::test_SpatialEncoder[1-8-1] PASSED [ 85%] tests/pytorch/test_nn.py::test_SpatialEncoder[1-8-4] PASSED [ 85%] tests/pytorch/test_nn.py::test_SpatialEncoder[1-16-1] PASSED [ 85%] tests/pytorch/test_nn.py::test_SpatialEncoder[1-16-4] PASSED [ 85%] tests/pytorch/test_nn.py::test_SpatialEncoder[8-8-1] PASSED [ 85%] tests/pytorch/test_nn.py::test_SpatialEncoder[8-8-4] PASSED [ 85%] tests/pytorch/test_nn.py::test_SpatialEncoder[8-16-1] PASSED [ 85%] tests/pytorch/test_nn.py::test_SpatialEncoder[8-16-4] PASSED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[1] SKIPPED (Do not sup...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[4] SKIPPED (Do not sup...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[101] SKIPPED (Do not s...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam[1024] SKIPPED (Do not ...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-False] SKIPPED (...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-True] SKIPPED (D...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-None] SKIPPED (D...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-False] SKIPPED (...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-True] SKIPPED (D...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-None] SKIPPED (D...) [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-False] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-True] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-None] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-False] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-True] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-None] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype0] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype1] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype0] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype1] SKIPPED [ 85%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype0] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype1] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype0] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype1] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_sparse_adam_zero_step SKIPPED (Do ...) [ 86%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-8] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-8] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[8] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-8] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-8] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[2] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[4] SKIPPED [ 86%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[8] SKIPPED [ 86%] tests/pytorch/test_pickle.py::test_pickling_batched_graph PASSED [ 86%] tests/pytorch/test_pin_memory.py::test_pin_noncontiguous SKIPPED (Ne...) [ 86%] tests/pytorch/test_pin_memory.py::test_pin_view SKIPPED (Need gpu fo...) [ 86%] tests/pytorch/test_pin_memory.py::test_unpin_automatically SKIPPED (...) [ 86%] tests/pytorch/test_pin_memory.py::test_pin_unpin_column SKIPPED (Nee...) [ 86%] tests/pytorch/test_pin_memory.py::test_pin_empty SKIPPED (Need gpu f...) [ 86%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] SKIPPED [ 86%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] SKIPPED [ 86%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] SKIPPED [ 86%] tests/pytorch/test_stream.py::test_basics SKIPPED (stream only runs ...) [ 87%] tests/pytorch/test_stream.py::test_set_get_stream SKIPPED (stream on...) [ 87%] tests/pytorch/test_stream.py::test_record_stream_ndarray SKIPPED (st...) [ 87%] tests/pytorch/test_stream.py::test_record_stream_graph_positive SKIPPED [ 87%] tests/pytorch/test_stream.py::test_record_stream_graph_negative SKIPPED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape0] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape1] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape0] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape1] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape0] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape1] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape0] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape1] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape2] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape0] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape1] PASSED [ 87%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape2] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype1-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype1-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype0-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype0-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype1-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype1-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype0-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype0-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype1-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype1-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype0-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype0-idtype1] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype1-idtype0] PASSED [ 87%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype1-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype0-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype0-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype1-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype1-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[add-dtype0-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[add-dtype0-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[add-dtype1-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[add-dtype1-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[sub-dtype0-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[sub-dtype0-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[sub-dtype1-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[sub-dtype1-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[mul-dtype0-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[mul-dtype0-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[mul-dtype1-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[mul-dtype1-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[truediv-dtype0-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[truediv-dtype0-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[truediv-dtype1-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[truediv-dtype1-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[add-dtype0-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[add-dtype0-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[add-dtype1-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[add-dtype1-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype0-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype0-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype1-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype1-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype0-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype0-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype1-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype1-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype0-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype0-idtype1] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype1-idtype0] PASSED [ 88%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype1-idtype1] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype0-idtype0] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype0-idtype1] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype1-idtype0] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype1-idtype1] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype0-idtype0] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype0-idtype1] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype1-idtype0] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype1-idtype1] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype0-idtype0] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype0-idtype1] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype1-idtype0] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype1-idtype1] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype0-idtype0] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype0-idtype1] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype1-idtype0] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype1-idtype1] PASSED [ 89%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_expose_op PASSED [ 89%] tests/pytorch/mock_sparse/test_mm.py::test_sparse_dense_mm PASSED [ 89%] tests/pytorch/mock_sparse/test_mm.py::test_sparse_sparse_mm PASSED [ 89%] tests/pytorch/mock_sparse/test_mm.py::test_sparse_diag_mm PASSED [ 89%] tests/pytorch/mock_sparse/test_mm.py::test_diag_dense_mm PASSED [ 89%] tests/pytorch/mock_sparse/test_mm.py::test_diag_sparse_mm PASSED [ 89%] tests/pytorch/mock_sparse/test_mm.py::test_diag_diag_mm PASSED [ 89%] tests/pytorch/mock_sparse/test_mm.py::test_batch_sparse_dense_mm PASSED [ 89%] tests/pytorch/mock_sparse/test_mm.py::test_batch_sparse_sparse_mm PASSED [ 89%] tests/pytorch/mock_sparse/test_mm.py::test_batch_sparse_diag_mm PASSED [ 89%] tests/pytorch/mock_sparse/test_mm.py::test_batch_diag_dense_mm PASSED [ 89%] tests/pytorch/mock_sparse/test_mm.py::test_batch_diag_sparse_mm PASSED [ 89%] tests/pytorch/mock_sparse/test_mm.py::test_batch_diag_diag_mm PASSED [ 89%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row0-None] SKIPPED [ 89%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row0-2] SKIPPED [ 89%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row1-None] SKIPPED [ 89%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row1-2] SKIPPED [ 89%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col1-row0-None] SKIPPED [ 89%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col1-row0-2] SKIPPED [ 89%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col1-row1-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col1-row1-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col0-row0-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col0-row0-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col0-row1-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col0-row1-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col1-row0-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col1-row0-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col1-row1-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col1-row1-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col0-row0-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col0-row0-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col0-row1-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col0-row1-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col1-row0-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col1-row0-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col1-row1-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col1-row1-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col0-row0-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col0-row0-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col0-row1-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col0-row1-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col1-row0-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col1-row0-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col1-row1-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col1-row1-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col0-row0-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col0-row0-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col0-row1-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col0-row1-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col1-row0-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col1-row0-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col1-row1-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col1-row1-2] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col0-row0-None] SKIPPED [ 90%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col0-row0-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col0-row1-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col0-row1-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col1-row0-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col1-row0-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col1-row1-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col1-row1-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col0-row0-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col0-row0-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col0-row1-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col0-row1-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col1-row0-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col1-row0-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col1-row1-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col1-row1-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col0-row0-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col0-row0-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col0-row1-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col0-row1-2] SKIPPED [ 91%]Successfully installed isodate-0.6.1 littleutils-0.2.2 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 ogb-1.3.5 outdated-0.2.2 pandas-1.1.5 psutil-5.9.4 pydantic-1.10.4 pytz-2022.7 pyyaml-6.0 rdflib-6.2.0 scikit-learn-1.0.2 threadpoolctl-3.1.0 torch-1.13.1 torchmetrics-0.11.0 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4483 collecting ... tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col1-row0-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col1-row0-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col1-row1-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col1-row1-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col0-row0-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col0-row0-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col0-row1-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col0-row1-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col1-row0-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col1-row0-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col1-row1-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col1-row1-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col0-row0-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col0-row0-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col0-row1-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col0-row1-2] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col1-row0-None] SKIPPED [ 91%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col1-row0-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col1-row1-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col1-row1-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col0-row0-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col0-row0-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col0-row1-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col0-row1-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col1-row0-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col1-row0-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col1-row1-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col1-row1-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col0-row0-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col0-row0-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col0-row1-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col0-row1-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col1-row0-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col1-row0-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col1-row1-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col1-row1-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row0-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row0-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row1-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row1-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col1-row0-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col1-row0-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col1-row1-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col1-row1-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col0-row0-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col0-row0-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col0-row1-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col0-row1-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col1-row0-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col1-row0-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col1-row1-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col1-row1-2] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col0-row0-None] SKIPPED [ 92%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col0-row0-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col0-row1-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col0-row1-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col1-row0-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col1-row0-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col1-row1-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col1-row1-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row0-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row0-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row1-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row1-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col1-row0-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col1-row0-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col1-row1-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col1-row1-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col0-row0-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col0-row0-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col0-row1-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col0-row1-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col1-row0-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col1-row0-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col1-row1-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col1-row1-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col0-row0-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col0-row0-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col0-row1-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col0-row1-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col1-row0-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col1-row0-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col1-row1-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col1-row1-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col0-row0-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col0-row0-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col0-row1-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col0-row1-2] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col1-row0-None] SKIPPED [ 93%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col1-row0-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col1-row1-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col1-row1-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col0-row0-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col0-row0-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col0-row1-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col0-row1-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col1-row0-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col1-row0-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col1-row1-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col1-row1-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col0-row0-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col0-row0-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col0-row1-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col0-row1-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col1-row0-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col1-row0-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col1-row1-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col1-row1-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col0-row0-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col0-row0-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col0-row1-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col0-row1-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col1-row0-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col1-row0-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col1-row1-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col1-row1-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col0-row0-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col0-row0-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col0-row1-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col0-row1-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col1-row0-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col1-row0-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col1-row1-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col1-row1-2] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row0-None] SKIPPED [ 94%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row0-2] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row1-None] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row1-2] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col1-row0-None] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col1-row0-2] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col1-row1-None] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col1-row1-2] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_sddmm.py::test_sddmm[dtype0-idtype0] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_sddmm.py::test_sddmm[dtype0-idtype1] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_sddmm.py::test_sddmm[dtype1-idtype0] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_sddmm.py::test_sddmm[dtype1-idtype1] SKIPPED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-None] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-4] PASSED [ 95%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr0-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr0-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr1-None] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr1-4] SKIPPED [ 96%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape0] PASSED [ 96%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape1] PASSED [ 96%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape0] PASSED [ 96%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape1] PASSED [ 96%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-None] PASSED [ 97%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-2] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape0-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape0-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape1-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape1-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_inv_diag PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape0-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape0-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape1] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_inv_sp PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape0] PASSED [ 97%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape1] PASSED [ 97%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size0-idtype0] PASSED [ 97%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size0-idtype1] PASSED [ 97%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size1-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size1-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size0-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size0-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size1-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size1-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size0-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size0-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size1-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size1-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size0-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size0-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size1-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size1-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-add-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-add-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-sub-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-sub-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-mul-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-mul-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-div-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-div-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-add-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-add-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-sub-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-sub-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-mul-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-mul-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-div-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-div-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-add-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-add-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-sub-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-sub-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-mul-idtype0] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-mul-idtype1] PASSED [ 98%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-div-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-div-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-add-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-add-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-sub-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-sub-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-mul-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-mul-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-div-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-div-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-add-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-add-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-sub-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-sub-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-mul-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-mul-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-div-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-div-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-add-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-add-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-sub-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-sub-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-mul-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-mul-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-div-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-div-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size0-y_size0-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size0-y_size0-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size1-y_size1-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size1-y_size1-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size2-y_size2-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size2-y_size2-idtype1] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size3-y_size3-idtype0] PASSED [ 99%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size3-y_size3-idtype1] PASSED [ 99%] tests/pytorch/sparse/test_unary_op_diag.py::test_neg PASSED [ 99%] tests/pytorch/sparse/test_unary_op_diag.py::test_inv PASSED [100%] ============================== warnings summary =============================== python\dgl\backend\backend.py:1841 C:\Jenkins\workspace\dgl_PR-4483\python\dgl\backend\backend.py:1841: DeprecationWarning: invalid escape sequence \P """ tests/pytorch/test_dataloader.py::test_shadow[0] tests/pytorch/mock_sparse/test_unary.py::test_inv_sp c:\program files\python36\lib\site-packages\numpy\matrixlib\defmatrix.py:69: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. return matrix(data, dtype=dtype, copy=False) tests/pytorch/test_dataloader.py: 84 warnings tests/pytorch/test_nn.py: 2 warnings C:\Jenkins\workspace\dgl_PR-4483\python\dgl\dataloading\dataloader.py:869: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html]) dgl_warning(f'Dataloader CPU affinity opt is not enabled, consider switching it on ' tests/pytorch/test_dataloader.py: 52 warnings C:\Jenkins\workspace\dgl_PR-4483\python\dgl\dataloading\dataloader.py:82: DGLWarning: The current output_nodes are out of order even if set shuffle to False in Dataloader, the reason is that the current version of torch dose not support stable sort. Please update torch to 1.10.0 or higher to fix it. 'The current output_nodes are out of order even if set shuffle ' tests/pytorch/test_nn.py: 11 warnings tests/pytorch/test_pickle.py: 1 warning C:\Jenkins\workspace\dgl_PR-4483\python\dgl\heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/pytorch/test_nn.py::test_dense_cheb_conv[1] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] C:\Jenkins\workspace\dgl_PR-4483\python\dgl\heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-16-16] C:\Jenkins\workspace\dgl_PR-4483\python\dgl\backend\pytorch\tensor.py:52: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at ..\aten\src\ATen\native\Copy.cpp:240.) return th.as_tensor(data, dtype=dtype) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html --- generated xml file: C:\Jenkins\workspace\dgl_PR-4483\pytest_backend.xml --- ============================ slowest 100 durations ============================ 8.82s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 8.77s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 8.75s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 8.73s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 8.71s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 8.71s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 8.70s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 8.67s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 8.61s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 8.50s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 8.45s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 8.34s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 8.25s call tests/pytorch/test_dataloader.py::test_shadow[0] 6.62s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 5.86s call tests/pytorch/test_nn.py::test_heterognnexplainer[1-5-idtype0-g0] 5.70s call tests/pytorch/test_nn.py::test_heterognnexplainer[2-5-idtype0-g0] 5.70s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype0] 5.67s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype0] 5.66s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype0] 5.63s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype0] 5.61s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype1] 5.58s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 5.58s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype1] 5.56s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype1] 5.54s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype1] 3.29s call tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] 2.92s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 2.60s call tests/pytorch/test_dataloader.py::test_shadow[4] 2.55s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 2.48s call tests/pytorch/test_dataloader.py::test_saint[node-4] 2.40s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] 2.17s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 2.12s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 2.08s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] 2.07s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] 1.96s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] 1.96s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 1.90s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] 1.87s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] 1.87s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] 1.86s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] 1.81s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] 1.72s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] 1.70s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] 1.69s call tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] 1.62s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] 1.56s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] 1.54s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] 1.50s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 1.50s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] 1.50s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] 1.49s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] 1.48s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] 1.47s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 1.47s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 1.46s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] 1.45s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] 1.45s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] 1.45s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] 1.44s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] 1.44s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] 1.43s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] 1.39s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 1.38s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 1.38s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 1.37s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 1.37s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] 1.37s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 1.37s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] 1.36s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 1.36s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 1.36s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 1.35s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 1.35s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 1.35s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] 1.34s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] 1.33s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] 1.33s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] 1.32s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] 1.32s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] 1.31s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] 1.29s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] 1.29s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] 1.28s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] 1.28s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] 1.27s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] 1.26s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] 1.26s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 1.24s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] 1.23s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] 1.21s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] 1.17s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] 1.17s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] 1.16s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] 1.16s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] 1.14s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] 1.14s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] 1.13s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] 1.13s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] 1.12s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] ========= 3179 passed, 412 skipped, 156 warnings in 471.50s (0:07:51) ========= ============================= test session starts ============================= platform win32 -- Python 3.6.7, pytest-7.0.1, pluggy-0.13.1 -- C:\Users\Administrator\Envs\jenkins-dgl-PR-4483-12\Scripts\python.exe cachedir: .pytest_cache rootdir: C:\Jenkins\workspace\dgl_PR-4483 collecting ... collected 2473 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype1] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype1] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] SKIPPED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype0] SKIPPED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype1] SKIPPED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes SKIPPED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype1] PASSED [ 4%] tests/compute/test_data.py::test_minigc SKIPPED (Datasets don't need...) [ 4%] tests/compute/test_data.py::test_gin SKIPPED (Datasets don't need to...) [ 4%] tests/compute/test_data.py::test_fraud SKIPPED (Datasets don't need ...) [ 4%] tests/compute/test_data.py::test_fakenews SKIPPED (Datasets don't ne...) [ 5%] tests/compute/test_data.py::test_tudataset_regression SKIPPED (Datas...) [ 5%] tests/compute/test_data.py::test_data_hash SKIPPED (Datasets don't n...) [ 5%] tests/compute/test_data.py::test_citation_graph SKIPPED (Datasets do...) [ 5%] tests/compute/test_data.py::test_gnn_benchmark SKIPPED (Datasets don...) [ 5%] tests/compute/test_data.py::test_reddit SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_explain_syn SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_wiki_cs SKIPPED (Datasets don't nee...) [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_extract_archive SKIPPED (Datasets d...) [ 5%] tests/compute/test_data.py::test_csvdataset SKIPPED (Datasets don't ...) [ 5%] tests/compute/test_data.py::test_add_nodepred_split SKIPPED (Dataset...) [ 5%] tests/compute/test_data.py::test_as_nodepred1 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred2 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_linkpred SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb SKIPPED (ogb only ...) [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional SKIPPED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] SKIPPED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] PASSED [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph SKIPPED (GPU rando...) [ 6%] tests/compute/test_graph.py::test_query PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 6%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 6%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 6%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast collected 2473 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype1] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype0] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype1] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype0] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype0] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype1] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype0] PASSED [ 11%] tests/compute/test_index.py::test_dlpack SKIPPED (TF doesn't support...) [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype0] PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype1] PASSED [ 4%] tests/compute/test_data.py::test_minigc PASSED [ 4%] tests/compute/test_data.py::test_gin PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype0] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype1] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype0] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype1] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_support PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] PASSED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype0] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype1] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_batched_heterograph SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_subgraph SKIPPED (GPU ed...) [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype0] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype1] SKIPPED [ 13%] tests/compute/test_pin_memory.py::test_pin_unpin PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype0] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype1] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] SKIPPED [ 13%] tests/compute/test_random.py::test_random_choice SKIPPED (GPU random...) [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g3-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype1] PASSED [ 19%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] SKIPPED [ 19%] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec SKIPPED (GPU random wa...) [ 20%] tests/compute/test_sampling.py::test_pack_traces SKIPPED (GPU pack t...) [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[True] PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_mask SKIPPED (...) [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk SKIPPED (...) [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] SKIPPED [ 21%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 21%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 21%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 21%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_heterograph SKIPPED [ 21%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_restricted_formats SKIPPED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_graph SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Not su...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] SKIPPED (GPU...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] SKIPPED (GPU...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] SKIPPED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] SKIPPED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g0] PASSED [ 5%] tests/compute/test_data.py::test_reddit PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g1] PASSED [ 4%] tests/compute/test_data.py::test_fraud PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype0-0.001-0.5-idtype0] SKIPPED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype0-0.001-0.5-idtype1] SKIPPED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype1-0.004-2.0-idtype0] SKIPPED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype1-0.004-2.0-idtype1] SKIPPED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g1] PASSED [ 42%]PASSED [ 4%] tests/compute/test_data.py::test_fakenews tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-8] SKIPPED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_use_libxsmm_switch SKIPPED (Only ...) [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device2] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device3] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/gpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/gpu:0] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected SKIPPED (GPU not...) [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph SKIPPED (GPU not ...) [ 96%] tests/compute/test_transform.py::test_khop_graph SKIPPED (GPU not im...) [ 96%] tests/compute/test_transform.py::test_khop_adj SKIPPED (GPU not impl...) [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max SKIPPED (...) [ 96%] tests/compute/test_transform.py::test_partition_with_halo SKIPPED (G...) [ 96%] tests/compute/test_transform.py::test_metis_partition[idtype0] SKIPPED [ 96%] tests/compute/test_transform.py::test_metis_partition[idtype1] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes SKIPPED (It does...) [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] SKIPPED (GP...) [ 97%] tests/compute/test_transform.py::test_to_simple[idtype1] SKIPPED (GP...) [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] SKIPPED (...) [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] SKIPPED (...) [ 97%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype1] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_drop_node[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] SKIPPED (Only ...) [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_shortest_dist[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_shortest_dist[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_to_levi[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_to_levi[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4483/python/dgl/backend/backend.py:1841: DeprecationWarning: invalid escape sequence \P """ ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class IteratorBase(collections.Iterator, trackable.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class DatasetV2(collections.Iterable, tracking_base.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead. 'nearest': pil_image.NEAREST, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead. 'bilinear': pil_image.BILINEAR, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead. 'bicubic': pil_image.BICUBIC, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. if hasattr(pil_image, 'HAMMING'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. _PIL_INTERPOLATION_METHODS['hamming'] = pil_image.HAMMING ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. if hasattr(pil_image, 'BOX'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. _PIL_INTERPOLATION_METHODS['box'] = pil_image.BOX ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. if hasattr(pil_image, 'LANCZOS'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. _PIL_INTERPOLATION_METHODS['lanczos'] = pil_image.LANCZOS tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 6 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4483/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py::test_update_all_0deg[idtype0] tests/compute/test_basics.py::test_update_all_0deg[idtype1] tests/compute/test_basics.py::test_pull_0deg[idtype0] tests/compute/test_basics.py::test_pull_0deg[idtype1] /root/jenkins/workspace/dgl_PR-4483/python/dgl/core.py:85: DGLWarning: The input graph for the user-defined edge function does not contain valid edges "The input graph for the user-defined edge function " tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] /root/jenkins/workspace/dgl_PR-4483/python/dgl/heterograph_index.py:858: FutureWarning: Adjacency matrix by default currently returns edge IDs. As a result there is one 0 entry which is not eliminated. In the next release it will return 1s by default, and 0 will be eliminated otherwise. FutureWarning, tests/compute/test_graph.py::test_query /root/jenkins/workspace/dgl_PR-4483/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4483/tests/compute/test_heterograph.py:1128: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(src_i)) == nid[src[i]] tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4483/tests/compute/test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] /root/jenkins/workspace/dgl_PR-4483/python/dgl/sampling/negative.py:118: ComplexWarning: Casting complex values to real discards the imaginary part redundancy, tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 /root/jenkins/workspace/dgl_PR-4483/python/dgl/data/graph_serialize.py:196: DGLWarning: You are loading a graph file saved by old version of dgl. Please consider saving it again with the current format. Please consider saving it again with the current format." tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4483/python/dgl/transforms/functional.py:1263: DGLWarning: share_ndata argument has been renamed to copy_ndata. dgl_warning('share_ndata argument has been renamed to copy_ndata.') tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4483/python/dgl/transforms/functional.py:1266: DGLWarning: share_edata argument has been renamed to copy_edata. dgl_warning('share_edata argument has been renamed to copy_edata.') -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4483/pytest_compute.xml -- ============================ slowest 100 durations ============================= 30.44s call tests/compute/test_kernel.py::test_all_binary_builtins 3.98s call tests/compute/test_heterograph.py::test_forking_pickler 0.94s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.81s call tests/compute/test_graph.py::test_query 0.67s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.61s call tests/compute/test_heterograph.py::test_query[idtype1] 0.53s call tests/compute/test_heterograph.py::test_query[idtype0] 0.48s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.44s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.39s call tests/compute/test_basics.py::test_batch_setter_getter[idtype0] 0.33s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.30s call tests/compute/test_kernel.py::test_copy_src_reduce 0.27s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.27s call tests/compute/test_traversal.py::test_bfs[idtype1] 0.25s call tests/compute/test_traversal.py::test_bfs[idtype0] 0.25s call tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] 0.25s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.24s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.24s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.23s call tests/compute/test_basics.py::test_issue_1088[idtype0] 0.18s call tests/compute/test_sparse.py::test_segment_reduce[min] 0.18s call tests/compute/test_sparse.py::test_segment_reduce[mean] 0.18s call tests/compute/test_sparse.py::test_segment_reduce[max] 0.18s call tests/compute/test_sparse.py::test_segment_reduce[sum] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] 0.18s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] 0.18s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] 0.18s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] 0.17s call tests/compute/test_heterograph.py::test_updates[idtype0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] 0.17s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] ========= 2221 passed, 252 skipped, 136 warnings in 233.63s (0:03:53) ========== ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4483 collecting ... Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4483@6 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4483@6 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace collected 920 items tests/tensorflow/test_basic.py::test PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv[1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv[2] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g1-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g1-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g2-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g2-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g3-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g3-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g4-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g4-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g5-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g5-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g6-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g6-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g0-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g0-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g1-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g1-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g2-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g2-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g3-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g3-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g4-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g4-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g5-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g5-idtype1] [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g6-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g6-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g0-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g0-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g1-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g1-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g2-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g2-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g3-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g3-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g4-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g4-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g5-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g5-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g6-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g6-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g0-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g0-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g1-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g1-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g2-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g2-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g3-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g3-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g4-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g4-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g5-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g5-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g6-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g6-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g0-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g0-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g1-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g1-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g2-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g2-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g3-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g3-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g4-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g4-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g5-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g5-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g6-idtype0] + docker pull dgllib/dgl-ci-cpu:v221216 PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g6-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g0-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g0-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g1-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g1-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g2-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g2-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g3-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g3-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g4-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g4-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g5-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g5-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g6-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g6-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g0-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g0-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g1-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g1-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g2-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g2-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g3-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g3-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g4-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g4-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g5-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g5-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g6-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g6-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g0-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g0-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g1-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g1-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g2-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g2-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g3-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g3-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g4-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g4-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g5-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g5-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g6-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g6-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g0-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g0-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g1-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g1-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g2-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g2-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g3-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g3-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g4-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g4-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g5-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g5-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g6-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g6-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g0-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g0-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g1-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g1-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g2-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g2-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g3-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g3-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g4-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g4-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g5-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g5-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g6-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g6-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g0-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g0-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g1-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g1-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g2-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g2-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g3-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g3-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g4-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g4-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g5-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g5-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g6-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g6-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g0-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g0-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g1-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g1-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g2-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g2-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g3-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g3-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g4-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g4-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g5-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g5-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g6-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g6-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g0-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g0-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g1-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g1-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g2-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g2-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g3-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g3-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g4-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g4-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g5-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g5-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g6-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g6-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g0-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g0-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g1-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g1-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g2-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g2-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g3-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g3-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g4-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g4-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g5-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g5-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g6-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g6-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g0-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g0-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g1-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g1-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g2-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g2-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g3-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g3-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g4-idtype0] PASSED [ 22%]v221216: Pulling from dgllib/dgl-ci-cpu Digest: sha256:0559bb6a2ad7b63bc2ec2c385a60319c4aee0d0eebf23ae442171f63aad70294 Status: Image is up to date for dgllib/dgl-ci-cpu:v221216 docker.io/dgllib/dgl-ci-cpu:v221216 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g4-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g5-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g5-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g6-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g6-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g0-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g0-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g1-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g1-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g2-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g2-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g3-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g3-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g4-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g4-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g5-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g5-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g6-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g6-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g0-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g0-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g1-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g1-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g2-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g2-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g3-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g3-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g4-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g4-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g5-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g5-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g6-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g6-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g0-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g0-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g1-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g1-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g2-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g2-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g3-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g3-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g4-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g4-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g5-idtype0] + docker inspect -f . dgllib/dgl-ci-cpu:v221216 . [Pipeline] } [Pipeline] // withEnv PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g5-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g6-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g6-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g0-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g0-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g1-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g1-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g2-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g2-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g3-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g3-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g4-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g4-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g5-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g5-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g6-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g6-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g0-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g0-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g1-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g1-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g3-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g3-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g4-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g4-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g5-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g5-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g6-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g6-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g0-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g0-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g1-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g1-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g2-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g2-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g3-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g3-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g4-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g4-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g5-idtype0] PASSED [ 31%][Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 --shm-size=4gb -w /root/jenkins/workspace/dgl_PR-4483@6 -v /root/jenkins/workspace/dgl_PR-4483@6:/root/jenkins/workspace/dgl_PR-4483@6:rw,z -v /root/jenkins/workspace/dgl_PR-4483@6@tmp:/root/jenkins/workspace/dgl_PR-4483@6@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v221216 cat tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g5-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g6-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g6-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g0-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g0-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g6-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g6-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g0-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g0-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g1-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g1-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g2-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g2-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g3-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g3-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g4-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g4-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g5-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g5-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g6-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g6-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g0-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g0-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g1-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g1-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g2-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g2-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g3-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g3-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g4-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g4-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g5-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g5-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g5-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g5-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g6-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g6-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g0-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g0-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g1-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g1-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g2-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g2-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g3-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g3-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g4-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g4-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g5-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g5-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g6-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g6-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g0-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g0-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g1-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g1-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g2-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g2-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g3-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g3-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g4-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g4-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g5-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g5-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g6-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g6-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g0-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g0-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g1-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g1-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g2-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g2-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g3-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g3-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g4-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g4-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g5-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g5-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g6-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g6-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g0-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g0-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g1-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g1-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g2-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g2-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g3-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g3-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g4-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g4-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g4-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g4-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g5-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g5-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g6-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g6-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g0-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g0-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g1-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g1-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g0-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g0-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-idtype0] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-idtype0] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_simple_pool PASSED [ 59%] tests/tensorflow/test_nn.py::test_glob_att_pool PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[2] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[8] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 63%]$ docker top 9611eacb0ae49f834223380b1485baf4e508077e9f12f5a74939d6a4f82c137e -eo pid,comm ERROR: The container started but didn't run the expected command. Please double check your ENTRYPOINT does execute the command passed as docker run argument, as required by official docker images (see https://github.com/docker-library/official-images#consistency for entrypoint consistency requirements). Alternatively you can force image entrypoint to be disabled by adding option `--entrypoint=''`. [Pipeline] { tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype0] [Pipeline] stage [Pipeline] { (Torch CPU Unit test) [Pipeline] sh PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dgl_sparse dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@7a5a40f8; decorates RemoteLauncher[hudson.remoting.Channel@653504b6:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g0-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g0-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g1-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g1-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g2-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g2-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g3-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g3-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g4-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g4-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g5-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g5-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g6-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g6-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g7-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g7-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g0-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g0-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g1-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g1-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g2-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g2-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g3-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g3-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g4-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g4-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g5-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g5-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g6-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g6-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g7-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g7-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g0-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g0-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g1-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g1-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g2-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g2-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g3-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g3-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g4-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g4-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g5-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g5-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g6-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g6-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g7-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g7-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g0-idtype0] Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g0-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g1-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g1-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g2-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g2-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g3-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g3-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g4-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g4-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g5-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g5-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g6-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g6-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g7-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g7-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g0-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g0-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g1-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g1-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g2-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g2-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype0] Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483@6/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 Commit message: "revert the test code being reverted in #4956" Cleaning workspace PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype1] [Pipeline] sh PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g2-idtype0] > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS'... PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g7-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g7-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g7-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g7-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g7-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g7-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g2-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g2-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/dlpack'... PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/dmlc-core'... PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] PASSED [100%] =============================== warnings summary =============================== ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class IteratorBase(collections.Iterator, trackable.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class DatasetV2(collections.Iterable, tracking_base.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead. 'nearest': pil_image.NEAREST, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead. 'bilinear': pil_image.BILINEAR, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead. 'bicubic': pil_image.BICUBIC, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. if hasattr(pil_image, 'HAMMING'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. _PIL_INTERPOLATION_METHODS['hamming'] = pil_image.HAMMING ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. if hasattr(pil_image, 'BOX'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. _PIL_INTERPOLATION_METHODS['box'] = pil_image.BOX ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. if hasattr(pil_image, 'LANCZOS'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. _PIL_INTERPOLATION_METHODS['lanczos'] = pil_image.LANCZOS tests/tensorflow/test_nn.py::test_graph_conv[1] tests/tensorflow/test_nn.py::test_graph_conv[2] tests/tensorflow/test_nn.py::test_simple_pool tests/tensorflow/test_nn.py::test_glob_att_pool tests/tensorflow/test_nn.py::test_rgcn[1] tests/tensorflow/test_nn.py::test_rgcn[2] tests/tensorflow/test_nn.py::test_rgcn[8] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] /root/jenkins/workspace/dgl_PR-4483/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/tensorflow/test_nn.py::test_rgcn[1] tests/tensorflow/test_nn.py::test_rgcn[2] tests/tensorflow/test_nn.py::test_rgcn[8] /root/jenkins/workspace/dgl_PR-4483/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4483/pytest_backend.xml -- ============================ slowest 100 durations ============================= 0.33s call tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype0] 0.26s call tests/tensorflow/test_nn.py::test_graph_conv[1] 0.11s call tests/tensorflow/test_nn.py::test_rgcn[8] 0.11s call tests/tensorflow/test_nn.py::test_rgcn[2] 0.11s call tests/tensorflow/test_nn.py::test_glob_att_pool 0.06s call tests/tensorflow/test_nn.py::test_rgcn[1] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] 0.05s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_simple_pool 0.03s call tests/tensorflow/test_nn.py::test_graph_conv[2] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype1] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] 0.01s call tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype0] 0.01s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] ====================== 920 passed, 33 warnings in 13.16s ======================= Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/googletest'... [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 efa14b2bb0362a1de17c044a296c0d2fb549acfca098fd5264b2ce6dd2ca5d22 PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/libxsmm'... $ docker rm -f efa14b2bb0362a1de17c044a296c0d2fb549acfca098fd5264b2ce6dd2ca5d22 PASSED [ 5%] tests/compute/test_data.py::test_explain_syn [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4483 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4483 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker pull dgllib/dgl-ci-gpu:cu102_v221216 cu102_v221216: Pulling from dgllib/dgl-ci-gpu Digest: sha256:cf8ce537d5d56256e31af5cb35a9affab8f1f71fed8e947143e5eaf4fec95416 Status: Image is up to date for dgllib/dgl-ci-gpu:cu102_v221216 docker.io/dgllib/dgl-ci-gpu:cu102_v221216 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-gpu:cu102_v221216 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dglci-manual-gpu-worker does not seem to be running inside a container $ docker run -t -d -u 0:0 --runtime nvidia --shm-size=8gb -w /root/jenkins/workspace/dgl_PR-4483 -v /root/jenkins/workspace/dgl_PR-4483:/root/jenkins/workspace/dgl_PR-4483:rw,z -v /root/jenkins/workspace/dgl_PR-4483@tmp:/root/jenkins/workspace/dgl_PR-4483@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu102_v221216 cat $ docker top 91924998158e86e376b4eb97548d3e8da1f9d64bc0d6e0c4f36927b5d7233e9a -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (Torch GPU Unit test) [Pipeline] sh + nvidia-smi Sun Jan 8 05:50:10 2023 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | | N/A 45C P8 16W / 70W | 0MiB / 15360MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dgl_sparse dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@7dab96ee; decorates RemoteLauncher[hudson.remoting.Channel@41230701:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/libxsmm'... PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/pcg'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/thrust'... PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/xbyak'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/pcg'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/phmap'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe'... Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/thrust'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/thrust/dependencies/cub'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tvm/3rdparty/dlpack'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tvm/3rdparty/dmlc-core'... Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@6/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/libnop'... Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so, build/dgl_sparse/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/libuv'... + bash tests/scripts/task_unit_test.sh pytorch cpu Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (7.2.0) Collecting psutil Downloading psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 280.2/280.2 kB 9.2 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 37.9 MB/s eta 0:00:00 PASSED [ 5%] tests/compute/test_data.py::test_reddit Collecting pydantic Downloading pydantic-1.10.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.1/3.1 MB 103.1 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.1.5) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 73.1 MB/s eta 0:00:00 Requirement already satisfied: ogb in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.3.5) Collecting torchmetrics Downloading torchmetrics-0.11.0-py3-none-any.whl (512 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 512.4/512.4 kB 77.4 MB/s eta 0:00:00 Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (5.1.0) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: iniconfig in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: exceptiongroup>=1.0.0rc8 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.0.4) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: packaging in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (22.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: typing-extensions>=4.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pydantic) (4.4.0) Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2022.6) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (1.21.6) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Requirement already satisfied: pyparsing in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Requirement already satisfied: setuptools in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (65.5.0) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 9.2 MB/s eta 0:00:00 Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.26.13) Requirement already satisfied: torch>=1.6.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.12.0+cpu) Requirement already satisfied: outdated>=0.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (0.2.2) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (4.64.1) Requirement already satisfied: scikit-learn>=0.20.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.0.2) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.11.0) Requirement already satisfied: requests in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Requirement already satisfied: littleutils in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (0.2.2) Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (3.1.0) Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.7.3) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.2.0) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.1) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.4) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.9.24) Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/pybind11'... Installing collected packages: pyyaml, pydantic, psutil, isodate, torchmetrics, rdflib Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Successfully installed isodate-0.6.1 psutil-5.9.4 pydantic-1.10.4 pyyaml-6.0 rdflib-6.2.0 torchmetrics-0.11.0 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/pybind11/tools/clang'... ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4483@6 collecting ... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash collected 2473 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype1] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype0] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype1] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so, build/dgl_sparse/*.so from dgl-gpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_unit_test.sh pytorch gpu Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (7.2.0) Collecting psutil Downloading psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 280.2/280.2 kB 7.4 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 32.7 MB/s eta 0:00:00 Collecting pydantic Downloading pydantic-1.10.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.1/3.1 MB 88.6 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.1.5) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 73.0 MB/s eta 0:00:00 Requirement already satisfied: ogb in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.3.5) Collecting torchmetrics Downloading torchmetrics-0.11.0-py3-none-any.whl (512 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 512.4/512.4 kB 72.6 MB/s eta 0:00:00 Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: iniconfig in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (5.1.0) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: exceptiongroup>=1.0.0rc8 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.0.4) Requirement already satisfied: packaging in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (22.0) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: typing-extensions>=4.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pydantic) (4.4.0) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (1.21.6) Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2022.6) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Requirement already satisfied: setuptools in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (65.5.0) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 9.0 MB/s eta 0:00:00 Requirement already satisfied: pyparsing in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Requirement already satisfied: torch>=1.6.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.12.0+cu102) Requirement already satisfied: outdated>=0.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (0.2.2) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (4.64.1) Requirement already satisfied: scikit-learn>=0.20.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.0.2) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.26.13) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.11.0) Requirement already satisfied: requests in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Requirement already satisfied: littleutils in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (0.2.2) Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.7.3) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.2.0) Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (3.1.0) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.1) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.9.24) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.4) Installing collected packages: pyyaml, pydantic, psutil, isodate, torchmetrics, rdflib PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] PASSED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype0] Successfully installed isodate-0.6.1 psutil-5.9.4 pydantic-1.10.4 pyyaml-6.0 rdflib-6.2.0 torchmetrics-0.11.0 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype1] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4483 collecting ... PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype1] PASSED [ 4%] tests/compute/test_data.py::test_minigc PASSED [ 4%] tests/compute/test_data.py::test_gin PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs PASSED [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4483@7 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4483@7 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace PASSED [ 5%] tests/compute/test_data.py::test_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker pull dgllib/dgl-ci-cpu:v221216 collected 2473 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype1] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype0] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[idtype1] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] PASSED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] PASSED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype0] v221216: Pulling from dgllib/dgl-ci-cpu Digest: sha256:0559bb6a2ad7b63bc2ec2c385a60319c4aee0d0eebf23ae442171f63aad70294 Status: Image is up to date for dgllib/dgl-ci-cpu:v221216 docker.io/dgllib/dgl-ci-cpu:v221216 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes SKIPPED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype0] + docker inspect -f . dgllib/dgl-ci-cpu:v221216 . PASSED [ 5%] tests/compute/test_data.py::test_add_nodepred_split [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 --shm-size=4gb -w /root/jenkins/workspace/dgl_PR-4483@7 -v /root/jenkins/workspace/dgl_PR-4483@7:/root/jenkins/workspace/dgl_PR-4483@7:rw,z -v /root/jenkins/workspace/dgl_PR-4483@7@tmp:/root/jenkins/workspace/dgl_PR-4483@7@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v221216 cat PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype1] PASSED [ 4%] tests/compute/test_data.py::test_minigc SKIPPED (Datasets don't need...) [ 4%] tests/compute/test_data.py::test_gin SKIPPED (Datasets don't need to...) [ 4%] tests/compute/test_data.py::test_fraud SKIPPED (Datasets don't need ...) [ 4%] tests/compute/test_data.py::test_fakenews SKIPPED (Datasets don't ne...) [ 5%] tests/compute/test_data.py::test_tudataset_regression SKIPPED (Datas...) [ 5%] tests/compute/test_data.py::test_data_hash SKIPPED (Datasets don't n...) [ 5%] tests/compute/test_data.py::test_citation_graph SKIPPED (Datasets do...) [ 5%] tests/compute/test_data.py::test_gnn_benchmark SKIPPED (Datasets don...) [ 5%] tests/compute/test_data.py::test_reddit SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_explain_syn SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_wiki_cs SKIPPED (Datasets don't nee...) [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_extract_archive SKIPPED (Datasets d...) [ 5%] tests/compute/test_data.py::test_csvdataset SKIPPED (Datasets don't ...) [ 5%] tests/compute/test_data.py::test_add_nodepred_split SKIPPED (Dataset...) [ 5%] tests/compute/test_data.py::test_as_nodepred1 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred2 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb $ docker top 41798a58345e11071e3c8d29702f71797d66086e96f404a0eb8045c73f37a870 -eo pid,comm ERROR: The container started but didn't run the expected command. Please double check your ENTRYPOINT does execute the command passed as docker run argument, as required by official docker images (see https://github.com/docker-library/official-images#consistency for entrypoint consistency requirements). Alternatively you can force image entrypoint to be disabled by adding option `--entrypoint=''`. [Pipeline] { [Pipeline] stage [Pipeline] { (Distributed Torch CPU Unit test) [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dgl_sparse dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@341622da; decorates RemoteLauncher[hudson.remoting.Channel@653504b6:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483@7/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred1 PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred2 [Pipeline] sh PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_linkpred + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/METIS'... PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset > git clean -fdx # timeout=10 PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/libxsmm'... PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb PASSED [ 4%] tests/compute/test_data.py::test_fraud Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/pcg'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/phmap'... PASSED [ 4%] tests/compute/test_data.py::test_fakenews Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/thrust'... PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@7/third_party/tvm/3rdparty/vta-hw'... PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so, build/dgl_sparse/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 40 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_distributed_test.sh pytorch cpu Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (7.2.0) Collecting psutil Downloading psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 280.2/280.2 kB 7.9 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 31.5 MB/s eta 0:00:00 Collecting pydantic Downloading pydantic-1.10.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.1/3.1 MB 92.3 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.1.5) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 65.6 MB/s eta 0:00:00 Requirement already satisfied: ogb in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.3.5) Collecting filelock Downloading filelock-3.9.0-py3-none-any.whl (9.7 kB) Collecting pyarrow Downloading pyarrow-10.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (36.0 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 36.0/36.0 MB 71.5 MB/s eta 0:00:00 Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (5.1.0) Requirement already satisfied: exceptiongroup>=1.0.0rc8 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.0.4) Requirement already satisfied: packaging in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (22.0) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: iniconfig in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: typing-extensions>=4.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pydantic) (4.4.0) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (1.21.6) Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2022.6) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Requirement already satisfied: setuptools in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (65.5.0) Requirement already satisfied: pyparsing in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 6.7 MB/s eta 0:00:00 Requirement already satisfied: outdated>=0.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (0.2.2) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (4.64.1) Requirement already satisfied: scikit-learn>=0.20.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.0.2) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: torch>=1.6.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.12.0+cpu) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.26.13) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.11.0) Requirement already satisfied: requests in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Requirement already satisfied: littleutils in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (0.2.2) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.2.0) Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (3.1.0) Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.7.3) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.9.24) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.4) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.1) Installing collected packages: pyyaml, pydantic, pyarrow, psutil, isodate, filelock, rdflib Successfully installed filelock-3.9.0 isodate-0.6.1 psutil-5.9.4 pyarrow-10.0.1 pydantic-1.10.4 pyyaml-6.0 rdflib-6.2.0 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4483@7 collecting ... PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional PASSED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] PASSED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] PASSED [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph SKIPPED (GPU rando...) [ 6%] tests/compute/test_graph.py::test_query PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 6%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 6%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 6%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins collected 123 items tests/distributed/test_dist_graph_store.py::test_server_client Converting to homogeneous graph takes 0.004s, peak mem: 0.723 GB Convert a graph into a bidirected graph: 0.006 seconds, peak memory: 0.727 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 0.727 GB [05:51:57] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 10000 nodes and 199864 edges into 4 parts and get 56399 edge cuts Metis partitioning: 0.059 seconds, peak memory: 0.739 GB Assigning nodes to METIS partitions takes 0.067s, peak mem: 0.739 GB Save partitions: 0.004 seconds, peak memory: 0.739 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client 0 load dist_graph_test_2 start server 0 start graph service on server 0 for part 0 [05:51:59] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:51:59] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:10365]... start client 1 [05:51:59] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:51:59] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb SKIPPED (ogb only ...) [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional SKIPPED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] SKIPPED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] SKIPPED (CP...) [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] SKIPPED (CP...) [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph PASSED [ 6%] tests/compute/test_graph.py::test_query start client 2 [05:52:00] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:52:00] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype0] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype1] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype0] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype1] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_support PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] PASSED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] PASSED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype1] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype0] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype1] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_batched_heterograph SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_subgraph SKIPPED (GPU ed...) [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype0] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype1] PASSED [ 13%] tests/compute/test_pin_memory.py::test_pin_unpin PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype0] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype1] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] SKIPPED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] SKIPPED [ 13%] tests/compute/test_random.py::test_random_choice SKIPPED (GPU random...) [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype1] start client 3 [05:52:01] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:52:01] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g3-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype1] PASSED [ 19%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] PASSED [ 19%] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] [05:52:02] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:52:02] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec SKIPPED (GPU random wa...) [ 20%] tests/compute/test_sampling.py::test_pack_traces SKIPPED (GPU pack t...) [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[True] PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_mask SKIPPED (...) [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk SKIPPED (...) [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] SKIPPED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] SKIPPED [ 21%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 21%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 21%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 21%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_heterograph SKIPPED [ 21%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_restricted_formats SKIPPED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_graph SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] SKIPPED (GPU...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] SKIPPED (GPU...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] SKIPPED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] SKIPPED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 6%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 6%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 6%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] Client [1144] waits on 172.17.0.9:57535 Client [1150] waits on 172.17.0.9:54741 Client [1138] waits on 172.17.0.9:42643 Client [1157] waits on 172.17.0.9:50797 Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Client[1] in group[0] is exiting... Client[2] in group[0] is exiting... Client[3] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] Server (0) shutdown. Server is exiting... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] clients have terminated Converting to homogeneous graph takes 0.005s, peak mem: 0.739 GB Save partitions: 0.008 seconds, peak memory: 0.739 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client 0 PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype0-0.001-0.5-idtype0] PASSED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype0-0.001-0.5-idtype1] PASSED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype1-0.004-2.0-idtype0] SKIPPED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype1-0.004-2.0-idtype1] SKIPPED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g1] load dist_graph_test_1[ 05:52:08] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:52:08] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start server 0 start graph service on server 0 for part 0 [05:52:08] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:52:08] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17265]... PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g1] PASSED [ 65%]PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-1] PASSED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-8] PASSED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-16] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-64] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-256] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-8] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-16] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-64] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-256] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-8] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-16] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-64] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-256] PASSED [ 94%] tests/compute/test_sparse.py::test_use_libxsmm_switch SKIPPED (Libxs...) [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device1] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected SKIPPED (GPU not...) [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph SKIPPED (GPU not ...) [ 96%] tests/compute/test_transform.py::test_khop_graph SKIPPED (GPU not im...) [ 96%] tests/compute/test_transform.py::test_khop_adj SKIPPED (GPU not impl...) [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max SKIPPED (...) [ 96%] tests/compute/test_transform.py::test_partition_with_halo SKIPPED (G...) [ 96%] tests/compute/test_transform.py::test_metis_partition[idtype0] SKIPPED [ 96%] tests/compute/test_transform.py::test_metis_partition[idtype1] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes SKIPPED (It does...) [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] SKIPPED (GP...) [ 97%] tests/compute/test_transform.py::test_to_simple[idtype1] SKIPPED (GP...) [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_drop_node[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_shortest_dist[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_shortest_dist[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_to_levi[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_to_levi[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4483/python/dgl/backend/backend.py:1841: DeprecationWarning: invalid escape sequence \P """ ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:346 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 6 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4483/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py::test_update_all_0deg[idtype0] tests/compute/test_basics.py::test_update_all_0deg[idtype1] tests/compute/test_basics.py::test_pull_0deg[idtype0] tests/compute/test_basics.py::test_pull_0deg[idtype1] /root/jenkins/workspace/dgl_PR-4483/python/dgl/core.py:85: DGLWarning: The input graph for the user-defined edge function does not contain valid edges "The input graph for the user-defined edge function " tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] /root/jenkins/workspace/dgl_PR-4483/python/dgl/heterograph_index.py:858: FutureWarning: Adjacency matrix by default currently returns edge IDs. As a result there is one 0 entry which is not eliminated. In the next release it will return 1s by default, and 0 will be eliminated otherwise. FutureWarning, tests/compute/test_graph.py::test_query /root/jenkins/workspace/dgl_PR-4483/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py::test_create[idtype0] /root/jenkins/workspace/dgl_PR-4483/python/dgl/backend/pytorch/tensor.py:52: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at ../torch/csrc/utils/tensor_new.cpp:204.) return th.as_tensor(data, dtype=dtype) tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4483/tests/compute/test_heterograph.py:1128: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(src_i)) == nid[src[i]] tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4483/tests/compute/test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/_tensor.py:1083: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at aten/src/ATen/core/TensorBody.h:482.) return self._grad tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] /root/jenkins/workspace/dgl_PR-4483/python/dgl/sampling/negative.py:118: ComplexWarning: Casting complex values to real discards the imaginary part redundancy, tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 /root/jenkins/workspace/dgl_PR-4483/python/dgl/data/graph_serialize.py:196: DGLWarning: You are loading a graph file saved by old version of dgl. Please consider saving it again with the current format. Please consider saving it again with the current format." tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4483/python/dgl/transforms/functional.py:1263: DGLWarning: share_ndata argument has been renamed to copy_ndata. dgl_warning('share_ndata argument has been renamed to copy_ndata.') tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4483/python/dgl/transforms/functional.py:1266: DGLWarning: share_edata argument has been renamed to copy_edata. dgl_warning('share_edata argument has been renamed to copy_edata.') tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] /root/jenkins/workspace/dgl_PR-4483/python/dgl/backend/pytorch/tensor.py:52: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:178.) return th.as_tensor(data, dtype=dtype) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4483/pytest_compute.xml -- ============================ slowest 100 durations ============================= 25.19s call tests/compute/test_data.py::test_as_graphpred_ogb 13.89s call tests/compute/test_data.py::test_as_linkpred_ogb 7.00s call tests/compute/test_data.py::test_as_nodepred_ogb 3.42s call tests/compute/test_kernel.py::test_all_binary_builtins 1.48s call tests/compute/test_heterograph.py::test_forking_pickler 0.63s call tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] 0.39s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 0.28s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.24s call tests/compute/test_graph.py::test_query 0.20s call tests/compute/test_heterograph.py::test_query[idtype0] 0.19s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.19s call tests/compute/test_heterograph.py::test_query[idtype1] 0.19s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.17s call tests/compute/test_sampling.py::test_non_uniform_random_walk[True] 0.17s call tests/compute/test_transform.py::test_module_ppr[idtype0] 0.17s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] 0.16s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] 0.16s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 0.12s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.12s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.12s call tests/compute/test_kernel.py::test_copy_src_reduce 0.11s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.11s call tests/compute/test_shared_mem.py::test_multi_process[idtype0] 0.11s call tests/compute/test_shared_mem.py::test_copy_from_gpu 0.11s call tests/compute/test_shared_mem.py::test_multi_process[idtype1] 0.10s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.09s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.08s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.07s call tests/compute/test_heterograph.py::test_updates[idtype0] 0.07s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.06s call tests/compute/test_traversal.py::test_bfs[idtype0] 0.05s call tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder 0.05s call tests/compute/test_traversal.py::test_bfs[idtype1] 0.05s call tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] 0.05s call tests/compute/test_heterograph.py::test_level2[idtype0] 0.05s call tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] 0.05s call tests/compute/test_heterograph.py::test_level2[idtype1] 0.04s call tests/compute/test_specialization.py::test_v2v_snr[idtype0] 0.04s call tests/compute/test_transform.py::test_remove_nodes[idtype0] 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_push_single_range 0.04s call tests/compute/test_specialization.py::test_v2v_snr[idtype1] 0.04s call tests/compute/test_transform.py::test_remove_nodes[idtype1] 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder 0.03s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 0.03s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range 0.03s call tests/compute/test_transform.py::test_remove_edges[idtype0] 0.03s call tests/compute/test_specialization.py::test_v2v_pull[idtype1] 0.03s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 0.03s call tests/compute/test_transform.py::test_remove_edges[idtype1] 0.03s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 0.03s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] 0.03s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] 0.03s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] 0.03s call tests/compute/test_heterograph.py::test_format[idtype0] 0.03s call tests/compute/test_heterograph.py::test_format[idtype1] 0.03s call tests/compute/test_heterograph.py::test_flatten[idtype0] 0.03s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] 0.03s call tests/compute/test_heterograph.py::test_flatten[idtype1] 0.03s call tests/compute/test_specialization.py::test_v2v_update_all[idtype0] 0.03s call tests/compute/test_specialization.py::test_v2v_update_all[idtype1] 0.02s call tests/compute/test_heterograph.py::test_convert[idtype0] 0.02s call tests/compute/test_heterograph.py::test_convert[idtype1] 0.02s call tests/compute/test_transform.py::test_to_block[idtype0] 0.02s call tests/compute/test_serialize.py::test_load_old_files1 0.02s call tests/compute/test_subgraph.py::test_subgraph1[idtype0] 0.02s call tests/compute/test_transform.py::test_to_block[idtype1] 0.02s call tests/compute/test_subgraph.py::test_subgraph1[idtype1] 0.02s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.02s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 0.02s call tests/compute/test_transform.py::test_reorder_graph[idtype0] 0.02s call tests/compute/test_transform.py::test_add_edges[idtype0] 0.02s call tests/compute/test_transform.py::test_add_edges[idtype1] 0.02s call tests/compute/test_heterograph.py::test_types_in_function[idtype0] 0.02s call tests/compute/test_heterograph.py::test_types_in_function[idtype1] 0.02s call tests/compute/test_transform.py::test_module_sign[g0] 0.02s call tests/compute/test_transform.py::test_reorder_graph[idtype1] 0.02s call tests/compute/test_transform.py::test_add_reverse_edges 0.02s call tests/compute/test_heterograph.py::test_add_edges[idtype0] 0.02s call tests/compute/test_sampling.py::test_pinsage_sampling[True] 0.02s call tests/compute/test_heterograph.py::test_add_edges[idtype1] 0.02s call tests/compute/test_heterograph.py::test_remove_nodes[idtype0] 0.02s call tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] 0.02s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] 0.02s call tests/compute/test_heterograph.py::test_remove_edges[idtype0] 0.01s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] 0.01s call tests/compute/test_heterograph.py::test_remove_nodes[idtype1] 0.01s call tests/compute/test_heterograph.py::test_remove_edges[idtype1] 0.01s call tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] 0.01s call tests/compute/test_readout.py::test_topk[True-g0-idtype0] 0.01s call tests/compute/test_transform.py::test_add_selfloop[idtype0] 0.01s call tests/compute/test_transform.py::test_add_selfloop[idtype1] 0.01s call tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] 0.01s call tests/compute/test_readout.py::test_topk[False-g0-idtype1] 0.01s call tests/compute/test_readout.py::test_topk[False-g6-idtype0] 0.01s call tests/compute/test_readout.py::test_topk[False-g6-idtype1] 0.01s call tests/compute/test_readout.py::test_topk[False-g0-idtype0] 0.01s call tests/compute/test_readout.py::test_topk[True-g0-idtype1] 0.01s call tests/compute/test_readout.py::test_topk[True-g6-idtype0] 0.01s call tests/compute/test_readout.py::test_topk[True-g6-idtype1] 0.01s call tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] ========== 2330 passed, 143 skipped, 128 warnings in 75.63s (0:01:15) ========== PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype0] Client [1195] waits on 172.17.0.9:54453 Machine (0) group (0) client (0) connect to server successfuly! end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4483 collecting ... PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype0] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype1] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype0] collected 4172 items tests/pytorch/test_dataloader.py::test_graph_dataloader[None] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_graph_dataloader[16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[4] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] SKIPPED (N...) [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cuda_indices-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cuda_indices-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cpu_indices-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cpu_indices-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-pure_gpu-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-pure_gpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cuda_indices-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cuda_indices-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cpu_indices-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cpu_indices-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-pure_gpu-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-pure_gpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype0] Converting to homogeneous graph takes 0.011s, peak mem: 1.474 GB Save partitions: 0.026 seconds, peak memory: 1.474 GB There are 300600 edges in the graph and 0 edge cuts for 1 partitions. start client 0 [05:52:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:52:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load dist_graph_test_3 start server 0 start graph service on server 0 for part 0 [05:52:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:52:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:12754]... PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cpu_indices-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-pure_gpu-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-pure_gpu-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype0] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype1] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] Client [1221] waits on 172.17.0.9:35297 Machine (0) group (0) client (0) connect to server successfuly! end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] PASSED [ 11%] tests/compute/test_index.py::test_dlpack SKIPPED (TF doesn't support...) [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype1] Converting to homogeneous graph takes 0.008s, peak mem: 1.480 GB Save partitions: 0.029 seconds, peak memory: 1.480 GB There are 300600 edges in the graph and 0 edge cuts for 1 partitions. start client 0 load dist_graph_test_3 [05:52:54] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:52:54] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start server 0 start graph service on server 0 for part 0 [05:52:54] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:52:54] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17612]... PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-True] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dist_optim.py::test_sparse_opt Client [1245] waits on 172.17.0.9:37589 Machine (0) group (0) client (0) connect to server successfuly! end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated Converting to homogeneous graph takes 0.003s, peak mem: 1.480 GB Save partitions: 0.008 seconds, peak memory: 1.480 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] [05:53:01] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:01] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load check_server_client_True_1_1_1 start server 0 start graph service on server 0 for part 0 [05:53:01] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:01] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:18827]... PASSED [ 5%] tests/compute/test_data.py::test_reddit Client [1261] waits on 172.17.0.9:35353 Machine (0) group (0) client (0) connect to server successfuly! end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated Converting to homogeneous graph takes 0.003s, peak mem: 1.480 GB Save partitions: 0.009 seconds, peak memory: 1.480 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] load check_server_client_False_1_1_1 start server 0 start graph service on server 0 for part 0 [05:53:09] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:09] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:21591]... [05:53:09] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:09] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Client [1275] waits on 172.17.0.9:57795 Machine (0) group (0) client (0) connect to server successfuly! end Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated PASSED [ 0%] tests/distributed/test_dist_graph_store.py::test_dist_emb_server_client Converting to homogeneous graph takes 0.002s, peak mem: 1.480 GB Save partitions: 0.007 seconds, peak memory: 1.480 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] [05:53:13] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:13] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load check_dist_emb_True_1_1_1 start server 0 start graph service on server 0 for part 0 [05:53:13] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:13] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:14509]... Client [1289] waits on 172.17.0.9:48893 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated Converting to homogeneous graph takes 0.003s, peak mem: 1.480 GB Save partitions: 0.007 seconds, peak memory: 1.480 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] load check_dist_emb_False_1_1_1 start server 0 start graph service on server 0 for part 0 [05:53:20] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:20] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:20905]... [05:53:21] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:21] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Client [1303] waits on 172.17.0.9:35377 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated PASSED [ 1%] tests/distributed/test_dist_graph_store.py::test_dist_optim_server_client Converting to homogeneous graph takes 0.003s, peak mem: 1.480 GB Save partitions: 0.008 seconds, peak memory: 1.480 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] [05:53:26] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:26] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start client[1] for group[0] load check_dist_optim_1_store start server 0 start graph service on server 0 for part 0 [05:53:26] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:26] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17268]... PASSED [ 4%] tests/pytorch/test_geometry.py::test_fps PASSED [ 4%] tests/pytorch/test_geometry.py::test_fps_start_idx PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-kd-tree] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-kd-tree] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-kd-tree] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 6%] tests/pytorch/test_ipc.py::test_torch_ipc [05:53:27] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:27] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start client[2] for group[0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[2] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype1] [05:53:28] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:28] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start client[3] for group[0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_tagconv[1] PASSED [ 23%] tests/pytorch/test_nn.py::test_tagconv[2] PASSED [ 23%] tests/pytorch/test_nn.py::test_set2set PASSED [ 23%] tests/pytorch/test_nn.py::test_glob_att_pool PASSED [ 23%] tests/pytorch/test_nn.py::test_simple_pool PASSED [ 23%] tests/pytorch/test_nn.py::test_set_trans PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[8-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[8-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[32-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[32-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype0] [05:53:29] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:29] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype0] Client [1328] waits on 172.17.0.9:58761 Client [1317] waits on 172.17.0.9:57593 Client [1332] waits on 172.17.0.9:49753Client [1322] waits on 172.17.0.9:51617 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Client[3] in group[0] is exiting... Client[1] in group[0] is exiting... Client[0] in group[0] is exiting... Client[2] in group[0] is exiting... Server (0) shutdown. Server is exiting... start client[0] for group[0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype0] start client[1] for group[0] [05:53:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load check_dist_optim_1_store start server 0 start graph service on server 0 for part 0 [05:53:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17268]... PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_cheb_conv[1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] PASSED [ 45%] tests/pytorch/test_nn.py::test_sequential PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_linear[1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_linear[2] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_linear[100] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_embedding[1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_embedding[2] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_embedding[100] PASSED [ 46%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] start client[2] for group[0] [05:53:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 46%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] start client[3] for group[0] [05:53:36] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:36] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 46%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] [05:53:37] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:37] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start client[4] for group[0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] start client[5] for group[0] [05:53:38] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:38] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] start client[6] for group[0] [05:53:39] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:39] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] [05:53:40] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:40] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] start client[7] for group[0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] [05:53:41] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:41] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] Client [1391] waits on 172.17.0.9:49533 Client [1379] waits on 172.17.0.9:35025 Client [1369] waits on 172.17.0.9:43739 Client [1400] waits on 172.17.0.9:48425 Client [1385] waits on 172.17.0.9:49479 Client [1405] waits on 172.17.0.9:59855 Client [1376] waits on 172.17.0.9:33699 Client [1394] waits on 172.17.0.9:33983 Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (7) connect to server successfuly! Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly!Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (6) connect to server successfuly! PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/distributed/optim/pytorch/sparse_optim.py:218: UserWarning: File /tmp/dist_graph/emb.pt_6 can't be found, load nothing. warnings.warn(f"File {f_attach_rank} can't be found, load nothing.") /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/distributed/optim/pytorch/sparse_optim.py:218: UserWarning: File /tmp/dist_graph/emb.pt_4 can't be found, load nothing. warnings.warn(f"File {f_attach_rank} can't be found, load nothing.") /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/distributed/optim/pytorch/sparse_optim.py:218: UserWarning: File /tmp/dist_graph/emb.pt_5 can't be found, load nothing. warnings.warn(f"File {f_attach_rank} can't be found, load nothing.") /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/distributed/optim/pytorch/sparse_optim.py:218: UserWarning: File /tmp/dist_graph/emb.pt_7 can't be found, load nothing. warnings.warn(f"File {f_attach_rank} can't be found, load nothing.") Client[0] in group[0] is exiting...Client[5] in group[0] is exiting... Client[1] in group[0] is exiting... Client[4] in group[0] is exiting... Client[3] in group[0] is exiting... Client[6] in group[0] is exiting... Client[7] in group[0] is exiting... Client[2] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] start client[0] for group[0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] [05:53:46] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:46] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start client[1] for group[0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] load check_dist_optim_1_store start server 0 start graph service on server 0 for part 0 [05:53:46] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:46] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17268]... PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_heterognnexplainer[1-5-idtype0-g0] [05:53:47] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:53:47] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 47%] tests/pytorch/test_nn.py::test_heterognnexplainer[2-5-idtype0-g0] PASSED [ 47%] tests/pytorch/test_nn.py::test_jumping_knowledge PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_predictor[dot] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_predictor[cos] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_predictor[ele] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_predictor[cat] PASSED [ 47%] tests/pytorch/test_nn.py::test_ke_score_funcs PASSED [ 47%] tests/pytorch/test_nn.py::test_twirls PASSED [ 47%] tests/pytorch/test_nn.py::test_typed_linear[None-None-4] PASSED [ 47%] tests/pytorch/test_nn.py::test_typed_linear[None-None-32] PASSED [ 47%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-4] PASSED [ 47%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-32] PASSED [ 47%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-4] PASSED [ 47%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-32] PASSED [ 47%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_radius_graph[True-True] PASSED [ 47%] tests/pytorch/test_nn.py::test_radius_graph[True-False] PASSED [ 47%] tests/pytorch/test_nn.py::test_radius_graph[False-True] PASSED [ 47%] tests/pytorch/test_nn.py::test_radius_graph[False-False] PASSED [ 47%] tests/pytorch/test_nn.py::test_group_rev_res[idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_group_rev_res[idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] Client [1476] waits on 172.17.0.9:37963 Client [1471] waits on 172.17.0.9:51593 Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] Client[1] in group[0] is exiting...Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 2%] tests/distributed/test_dist_graph_store.py::test_standalone Converting to homogeneous graph takes 0.003s, peak mem: 1.480 GB PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] Save partitions: 0.007 seconds, peak memory: 1.480 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. end Client[-1] in group[-1] is exiting... PASSED [ 3%] tests/distributed/test_dist_graph_store.py::test_standalone_node_emb Converting to homogeneous graph takes 0.002s, peak mem: 1.480 GB Save partitions: 0.005 seconds, peak memory: 1.480 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. Exception ignored in: Traceback (most recent call last): File "/root/jenkins/workspace/dgl_PR-4483@7/python/dgl/distributed/dist_tensor.py", line 171, in __del__ self.kvstore.delete_data(self._name) File "/root/jenkins/workspace/dgl_PR-4483@7/python/dgl/distributed/standalone_kvstore.py", line 61, in delete_data self._gdata_name_list.remove(name) KeyError: ('node~_N~emb1_sum_-1',) Exception ignored in: Traceback (most recent call last): File "/root/jenkins/workspace/dgl_PR-4483@7/python/dgl/distributed/dist_tensor.py", line 171, in __del__ self.kvstore.delete_data(self._name) File "/root/jenkins/workspace/dgl_PR-4483@7/python/dgl/distributed/standalone_kvstore.py", line 61, in delete_data self._gdata_name_list.remove(name) KeyError: ('node~_N~emb2_sum_-1',) Client[-1] in group[-1] is exiting... PASSED [ 4%] tests/distributed/test_dist_graph_store.py::test_split[True] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-3] PASSED [ 66%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_DeepWalk PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[in-8-2] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[in-8-6] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[in-16-2] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[in-16-6] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[out-8-2] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[out-8-6] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[out-16-2] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[out-16-6] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[both-8-2] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[both-8-6] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[both-16-2] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[both-16-6] PASSED [ 69%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype0] PASSED [ 69%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype1] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-3-1] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-3-4] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-5-1] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-5-4] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-3-1] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-3-4] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-5-1] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-5-1] PASSED [ 72%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-5-4] PASSED [ 72%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-3-1] PASSED [ 72%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-3-4] PASSED [ 72%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-5-1] PASSED [ 72%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-5-4] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-True-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-True-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-True-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-True-16-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-False-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-False-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-False-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-False-16-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-True-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-True-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-True-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-True-16-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-False-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-False-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-False-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-False-16-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-True-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-True-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-True-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-True-16-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-False-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-False-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-False-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-False-16-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-True-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-True-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-True-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-True-16-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-False-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-False-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-False-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-False-16-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_GraphormerLayer[True-add] PASSED [ 72%] tests/pytorch/test_nn.py::test_GraphormerLayer[True-mul] PASSED [ 72%] tests/pytorch/test_nn.py::test_GraphormerLayer[False-add] PASSED [ 72%] tests/pytorch/test_nn.py::test_GraphormerLayer[False-mul] PASSED [ 72%] tests/pytorch/test_nn.py::test_PathEncoder[1-16-1] PASSED [ 73%] tests/pytorch/test_nn.py::test_PathEncoder[1-16-4] PASSED [ 73%] tests/pytorch/test_nn.py::test_PathEncoder[8-16-1] PASSED [ 73%] tests/pytorch/test_nn.py::test_PathEncoder[8-16-4] PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[1-8-1] PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[1-8-4] PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[1-16-1] PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[1-16-4] PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[8-8-1] PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[8-8-4] PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[8-16-1] PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[8-16-4] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam[1] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam[4] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam[101] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam[1024] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-False] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-True] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-None] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-False] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-True] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-None] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-False] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-True] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-None] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-False] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-True] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-None] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype0] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype1] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype0] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype1] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype0] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype1] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype0] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype1] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_zero_step PASSED [ 73%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] SKIPPED [ 73%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] SKIPPED [ 73%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-2] SKIPPED [ 73%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-4] SKIPPED [ 73%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-8] SKIPPED [ 73%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-2] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-4] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-8] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[2] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[4] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[8] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-2] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-4] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-8] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-2] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-4] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-8] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[2] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[4] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[8] SKIPPED [ 74%] tests/pytorch/test_pickle.py::test_pickling_batched_graph PASSED [ 74%] tests/pytorch/test_pin_memory.py::test_pin_noncontiguous PASSED [ 74%] tests/pytorch/test_pin_memory.py::test_pin_view PASSED [ 74%] tests/pytorch/test_pin_memory.py::test_unpin_automatically PASSED [ 74%] tests/pytorch/test_pin_memory.py::test_pin_unpin_column PASSED [ 74%] tests/pytorch/test_pin_memory.py::test_pin_empty PASSED [ 74%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] Converting to homogeneous graph takes 0.007s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.017 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.480 GB [05:54:09] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 30030 nodes and 601200 edges into 4 parts and get 171678 edge cuts Metis partitioning: 0.220 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.239s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.024 seconds Split the graph: 0.078 seconds Construct subgraphs: 0.076 seconds Splitting the graph into partitions takes 0.178s, peak mem: 1.480 GB part 0 has 10000 nodes of type n1 and 2575 are inside the partition part 0 has 9879 nodes of type n2 and 2576 are inside the partition part 0 has 9894 nodes of type n3 and 2580 are inside the partition part 0 has 92491 edges of type ('n1', 'r1', 'n2') and 25752 are inside the partition part 0 has 40715 edges of type ('n1', 'r2', 'n3') and 25995 are inside the partition part 0 has 40683 edges of type ('n2', 'r3', 'n3') and 25967 are inside the partition part 1 has 10000 nodes of type n1 and 2575 are inside the partition part 1 has 9921 nodes of type n2 and 2577 are inside the partition part 1 has 9906 nodes of type n3 and 2580 are inside the partition part 1 has 92395 edges of type ('n1', 'r1', 'n2') and 25521 are inside the partition part 1 has 40998 edges of type ('n1', 'r2', 'n3') and 26104 are inside the partition part 1 has 40669 edges of type ('n2', 'r3', 'n3') and 25980 are inside the partition part 2 has 10000 nodes of type n1 and 2575 are inside the partition part 2 has 9859 nodes of type n2 and 2577 are inside the partition part 2 has 9888 nodes of type n3 and 2580 are inside the partition part 2 has 92241 edges of type ('n1', 'r1', 'n2') and 26020 are inside the partition part 2 has 40427 edges of type ('n1', 'r2', 'n3') and 25696 are inside the partition part 2 has 40642 edges of type ('n2', 'r3', 'n3') and 25802 are inside the partition part 3 has 10000 nodes of type n1 and 2275 are inside the partition part 3 has 9777 nodes of type n2 and 2280 are inside the partition part 3 has 9794 nodes of type n3 and 2280 are inside the partition part 3 has 89147 edges of type ('n1', 'r1', 'n2') and 22807 are inside the partition part 3 has 35360 edges of type ('n1', 'r2', 'n3') and 22405 are inside the partition part 3 has 35724 edges of type ('n2', 'r3', 'n3') and 22551 are inside the partition Save partitions: 0.058 seconds, peak memory: 1.480 GB There are 300600 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 4%] tests/distributed/test_dist_graph_store.py::test_split[False] Converting to homogeneous graph takes 0.002s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.005 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:54:10] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 10000 nodes and 199891 edges into 4 parts and get 56482 edge cuts Metis partitioning: 0.049 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.054s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.006 seconds Split the graph: 0.025 seconds Construct subgraphs: 0.041 seconds Splitting the graph into partitions takes 0.072s, peak mem: 1.480 GB part 0 has 10000 nodes and 2499 are inside the partition part 0 has 91083 edges and 25077 are inside the partition part 1 has 10000 nodes and 2501 are inside the partition part 1 has 91131 edges and 24956 are inside the partition part 2 has 10000 nodes and 2500 are inside the partition part 2 has 90910 edges and 24807 are inside the partition part 3 has 10000 nodes and 2500 are inside the partition part 3 has 91820 edges and 25160 are inside the partition Save partitions: 0.022 seconds, peak memory: 1.480 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 5%] tests/distributed/test_dist_graph_store.py::test_split_even Converting to homogeneous graph takes 0.002s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.004 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:54:11] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 10000 nodes and 199884 edges into 4 parts and get 56379 edge cuts Metis partitioning: 0.049 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.054s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.006 seconds Split the graph: 0.026 seconds Construct subgraphs: 0.039 seconds Splitting the graph into partitions takes 0.072s, peak mem: 1.480 GB part 0 has 9999 nodes and 2499 are inside the partition part 0 has 91751 edges and 25112 are inside the partition part 1 has 10000 nodes and 2500 are inside the partition part 1 has 91660 edges and 24924 are inside the partition part 2 has 10000 nodes and 2501 are inside the partition part 2 has 91048 edges and 25060 are inside the partition part 3 has 10000 nodes and 2500 are inside the partition part 3 has 91221 edges and 24904 are inside the partition Save partitions: 0.021 seconds, peak memory: 1.480 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. part 0 get 1703 nodes and 1703 are in the partition intersection has 1703 part 0 get 17183 edges and 17183 are in the partition PASSED [ 74%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] SKIPPED [ 74%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] SKIPPED [ 74%] tests/pytorch/test_stream.py::test_basics PASSED [ 74%] tests/pytorch/test_stream.py::test_set_get_stream PASSED [ 74%] tests/pytorch/test_stream.py::test_record_stream_ndarray PASSED [ 74%] tests/pytorch/test_stream.py::test_record_stream_graph_positive PASSED [ 74%] tests/pytorch/test_stream.py::test_record_stream_graph_negative PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape0] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape1] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape0] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape1] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape0] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape1] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape0] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape1] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape2] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape0] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape1] PASSED [ 75%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape2] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[add-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[add-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[add-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[add-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[sub-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[sub-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[sub-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[sub-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[mul-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[mul-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[mul-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[mul-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[truediv-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[truediv-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[truediv-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[truediv-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[add-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[add-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[add-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[add-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_expose_op PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_sparse_dense_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_sparse_sparse_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_sparse_diag_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_diag_dense_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_diag_sparse_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_diag_diag_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_batch_sparse_dense_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_batch_sparse_sparse_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_batch_sparse_diag_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_batch_diag_dense_mm PASSED [ 77%] tests/pytorch/mock_sparse/test_mm.py::test_batch_diag_sparse_mm PASSED [ 77%] tests/pytorch/mock_sparse/test_mm.py::test_batch_diag_diag_mm PASSED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col1-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col1-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col1-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col1-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col0-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col0-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col0-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col0-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col1-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col1-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col1-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col1-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col0-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col0-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col0-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col0-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col1-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col1-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col1-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col1-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col0-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col0-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col0-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col0-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col1-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col1-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col1-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col1-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col0-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col0-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col0-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col0-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col1-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col1-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col1-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col1-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col0-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col0-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col0-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col0-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col1-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col1-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col1-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col1-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col0-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col0-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col0-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col0-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col1-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col1-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col1-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col1-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col0-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col0-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col0-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col0-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col1-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col1-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col1-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col1-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col0-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col0-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col0-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col0-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col1-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col1-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col1-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col1-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col0-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col0-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col0-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col0-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col1-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col1-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col1-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col1-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col0-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col0-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col0-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col0-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col1-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col1-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col1-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col1-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col0-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col0-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col0-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col0-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col1-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col1-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col1-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col1-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col1-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col1-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col1-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col1-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col0-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col0-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col0-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col0-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col1-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col1-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col1-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col1-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col0-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col0-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col0-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col0-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col1-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col1-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col1-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col1-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col1-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col1-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col1-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col1-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col0-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col0-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col0-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col0-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col1-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col1-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col1-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col1-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col0-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col0-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col0-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col0-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col1-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col1-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col1-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col1-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col0-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col0-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col0-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col0-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col1-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col1-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col1-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col1-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col0-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col0-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col0-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col0-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col1-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col1-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col1-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col1-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col0-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col0-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col0-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col0-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col1-row0-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col1-row0-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col1-row1-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col1-row1-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col0-row0-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col0-row0-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col0-row1-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col0-row1-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col1-row0-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col1-row0-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col1-row1-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col1-row1-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col0-row0-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col0-row0-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col0-row1-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col0-row1-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col1-row0-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col1-row0-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col1-row1-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col1-row1-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row0-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row0-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row1-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row1-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col1-row0-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col1-row0-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col1-row1-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col1-row1-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_sddmm.py::test_sddmm[dtype0-idtype0] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_sddmm.py::test_sddmm[dtype0-idtype1] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_sddmm.py::test_sddmm[dtype1-idtype0] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_sddmm.py::test_sddmm[dtype1-idtype1] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row0-None] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row0-4] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row1-None] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row1-4] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row0-None] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row0-4] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row1-None] intersection has 17183 part 1 get 1703 nodes and 1684 are in the partition intersection has 1703 part 1 get 17183 edges and 17140 are in the partition intersection has 17183 part 2 get 1702 nodes and 1684 are in the partition intersection has 1702 part 2 get 17182 edges and 17042 are in the partition intersection has 17182 part 3 get 1702 nodes and 1702 are in the partition intersection has 1702 part 3 get 17182 edges and 17060 are in the partition intersection has 17182 PASSED [ 6%] tests/distributed/test_dist_tensor.py::test_op Converting to homogeneous graph takes 0.002s, peak mem: 1.480 GB Save partitions: 0.004 seconds, peak memory: 1.480 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 7%]Client[-1] in group[-1] is exiting... tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[1] Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.001 seconds, peak memory: 1.480 GB There are 3060 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row1-4] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row0-None] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row0-4] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row1-None] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row1-4] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-None] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-4] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-None] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-4] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-None] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-4] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-None] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-4] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-None] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-4] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-None] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-4] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr0-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr0-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr1-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr1-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr0-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr0-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr1-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr1-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr0-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr0-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr1-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr1-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr0-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr0-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr1-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr1-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr0-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr0-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr1-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr1-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr0-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr0-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr1-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr1-4] SKIPPED [ 83%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr0-None] SKIPPED [ 83%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr0-4] SKIPPED [ 83%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr1-None] SKIPPED [ 83%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr1-4] SKIPPED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape0-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape0-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape1-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape1-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_inv_diag PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape0-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape0-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_inv_sp PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size0-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size0-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size1-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size1-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size0-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size0-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size1-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size1-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size0-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size0-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size1-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size1-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size0-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size0-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size1-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size1-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-add-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-add-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-sub-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-sub-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-mul-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-mul-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-div-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-div-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-add-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-add-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-sub-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-sub-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-mul-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-mul-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-div-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-div-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-add-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-add-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-sub-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-sub-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-mul-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-mul-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-div-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-div-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-add-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-add-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-sub-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-sub-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-mul-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-mul-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-div-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-div-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-add-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-add-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-sub-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-sub-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-mul-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-mul-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-div-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-div-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-add-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-add-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-sub-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-sub-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-mul-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-mul-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-div-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-div-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size0-y_size0-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size0-y_size0-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size1-y_size1-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size1-y_size1-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size2-y_size2-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size2-y_size2-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size3-y_size3-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size3-y_size3-idtype1] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_diag[None-val_shape0] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_diag[None-val_shape1] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_diag[mat_shape1-val_shape0] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_diag[mat_shape1-val_shape1] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_diag[mat_shape2-val_shape0] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_diag[mat_shape2-val_shape1] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_identity[None-shape0] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_identity[None-shape1] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_identity[None-shape2] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_identity[2-shape0] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_identity[2-shape1] PASSED [ 86%] tests/pytorch/sparse/test_diag.py::test_identity[2-shape2] PASSED [ 86%] tests/pytorch/sparse/test_diag.py::test_print PASSED [ 86%] tests/pytorch/sparse/test_diag.py::test_to_device[cpu] PASSED [ 86%] tests/pytorch/sparse/test_diag.py::test_to_device[cuda] PASSED [ 86%] tests/pytorch/sparse/test_diag.py::test_to_dtype[dtype0] PASSED [ 86%] tests/pytorch/sparse/test_diag.py::test_to_dtype[dtype1] PASSED [ 86%] tests/pytorch/sparse/test_diag.py::test_to_dtype[dtype2] PASSED [ 86%] tests/pytorch/sparse/test_diag.py::test_to_dtype[dtype3] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_coo[val_shape0] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_coo[val_shape1] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_csr[val_shape0] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_csr[val_shape1] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_csc[val_shape0] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_csc[val_shape1] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_diag[val_shape0] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_diag[val_shape1] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_sparse_diag[val_shape0] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_sparse_diag[val_shape1] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_sp.py::test_mul_scalar[2] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_sp.py::test_mul_scalar[2.5] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_sp.py::test_pow[val_shape0] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_sp.py::test_pow[val_shape1] PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_gcn [05:54:12] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:12] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load test_find_edges start graph service on server 0 for part 0 [05:54:12] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:12] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17871]... PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_gcnii Client [1126] waits on 172.17.0.9:40423 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Downloading /root/jenkins/workspace/dgl_PR-4483@7/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4483@7/cora_v2 Finished data loading and preprocessing. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done saving data into cached files. Converting to homogeneous graph takes 0.002s, peak mem: 1.480 GB Save partitions: 0.030 seconds, peak memory: 1.480 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 5%] tests/compute/test_data.py::test_explain_syn PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs [05:54:20] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:20] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load test_find_edges start graph service on server 0 for part 0 [05:54:20] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:20] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13648]... PASSED [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr PASSED [ 5%] tests/compute/test_data.py::test_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset Client [1126] waits on 172.17.0.9:39995 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 8%] tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[2] Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:54:26] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 6120 edges into 2 parts and get 204 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.480 GB part 0 has 587 nodes of type n1 and 519 are inside the partition part 0 has 574 nodes of type n2 and 511 are inside the partition part 0 has 585 nodes of type n3 and 525 are inside the partition part 0 has 565 edges of type ('n1', 'r12', 'n2') and 531 are inside the partition part 0 has 571 edges of type ('n1', 'r13', 'n3') and 535 are inside the partition part 0 has 554 edges of type ('n2', 'r23', 'n3') and 527 are inside the partition part 1 has 556 nodes of type n1 and 491 are inside the partition part 1 has 549 nodes of type n2 and 489 are inside the partition part 1 has 559 nodes of type n3 and 495 are inside the partition part 1 has 515 edges of type ('n1', 'r12', 'n2') and 479 are inside the partition part 1 has 530 edges of type ('n1', 'r13', 'n3') and 495 are inside the partition part 1 has 529 edges of type ('n2', 'r23', 'n3') and 493 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.480 GB There are 3060 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 5%] tests/compute/test_data.py::test_add_nodepred_split load test_find_edges start graph service on server 0 for part 0 [05:54:27] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:27] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:10819]... [05:54:28] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:28] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load test_find_edges start graph service on server 1 for part 1 [05:54:28] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:28] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:10821]... PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_appnp PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred1 PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred2 PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb Client [1126] waits on 172.17.0.9:56495 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:54:34] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.480 GB part 0 has 1512 nodes and 1354 are inside the partition part 0 has 5630 edges and 5370 are inside the partition part 1 has 1552 nodes and 1354 are inside the partition part 1 has 5446 edges and 5186 are inside the partition Save partitions: 0.034 seconds, peak memory: 1.480 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. load test_find_edges start graph service on server 0 for part 0 [05:54:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19012]... PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_c_and_s [05:54:36] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:36] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load test_find_edges start graph service on server 1 for part 1 [05:54:36] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:36] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19014]... PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_gat PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb Client [1126] waits on 172.17.0.9:39569 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 8%] tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.022 seconds, peak memory: 1.480 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. load test_get_degrees [05:54:44] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:44] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start graph service on server 0 for part 0 [05:54:44] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:44] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:14572]... PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_hgnn Client [1126] waits on 172.17.0.9:35785 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done get_degree check results PASSED [ 9%] tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[2] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:54:51] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.480 GB part 0 has 1512 nodes and 1354 are inside the partition part 0 has 5630 edges and 5370 are inside the partition part 1 has 1552 nodes and 1354 are inside the partition part 1 has 5446 edges and 5186 are inside the partition Save partitions: 0.020 seconds, peak memory: 1.480 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. load test_get_degrees start graph service on server 0 for part 0 [05:54:52] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:52] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13358]... load test_get_degrees start graph service on server 1 for part 1 [05:54:53] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:53] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13360]... [05:54:53] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:53] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_explain_syn PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs PASSED [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr PASSED [ 5%] tests/compute/test_data.py::test_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_add_nodepred_split PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred1 PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred2 PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb Client [1126] waits on 172.17.0.9:52511 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown.Done get_degree Server is exiting... check results PASSED [ 10%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling SKIPPED [ 11%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.020 seconds, peak memory: 1.480 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. load test_sampling start graph service on server 0 for part 0 [05:54:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:28390]... [05:54:58] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:54:58] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred Client [1610] waits on 172.17.0.9:60981 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.004 seconds, peak memory: 1.480 GB There are 3060 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb [05:55:02] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:02] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load test_sampling start graph service on server 0 for part 0 [05:55:02] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:02] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:16515]... PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_hypergraphatt Client [1126] waits on 172.17.0.9:34835 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.002 seconds, peak memory: 1.480 GB There are 3000 edges in the graph and 0 edge cuts for 1 partitions. [05:55:10] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:10] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load test_sampling start graph service on server 0 for part 0 [05:55:10] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:10] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13648]... PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_sgc Client [1126] waits on 172.17.0.9:56013 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.002 seconds, peak memory: 1.480 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. [05:55:17] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:17] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load test_sampling start graph service on server 0 for part 0 [05:55:17] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:17] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13648]... PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_sign Client [1126] waits on 172.17.0.9:40183 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.002s, peak mem: 1.480 GB Save partitions: 0.004 seconds, peak memory: 1.480 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. [05:55:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load test_sampling start graph service on server 0 for part 0 [05:55:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13648]... PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_twirls Client [1126] waits on 172.17.0.9:49945 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.003 seconds, peak memory: 1.480 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. [05:55:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load test_sampling start graph service on server 0 for part 0 [05:55:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13648]... Client [1126] waits on 172.17.0.9:38939 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.003 seconds, peak memory: 1.480 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. [05:55:41] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:41] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load test_sampling start graph service on server 0 for part 0 [05:55:41] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:41] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13648]... PASSED [ 86%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-1-shape0-rand_coo] PASSED [ 86%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-1-shape0-rand_csr] PASSED [ 86%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-1-shape0-rand_csc] PASSED [ 86%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-1-shape1-rand_coo] PASSED [ 86%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-1-shape1-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-1-shape1-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-10-shape0-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-10-shape0-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-10-shape0-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-10-shape1-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-10-shape1-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-10-shape1-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-1-shape0-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-1-shape0-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-1-shape0-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-1-shape1-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-1-shape1-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-1-shape1-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-10-shape0-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-10-shape0-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-10-shape0-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-10-shape1-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-10-shape1-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-10-shape1-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[1-shape0-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[1-shape0-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[1-shape0-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[1-shape1-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[1-shape1-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[1-shape1-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[10-shape0-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[10-shape0-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[10-shape0-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[10-shape1-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[10-shape1-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[10-shape1-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_coo-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_coo-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_coo-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_csr-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_csr-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_csr-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_csc-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_csc-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_csc-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_coo-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_coo-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_coo-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_csr-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_csr-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_csr-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_csc-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_csc-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_csc-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_coo-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_coo-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_coo-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_csr-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_csr-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_csr-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_csc-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_csc-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_csc-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_coo-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_coo-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_coo-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_csr-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_csr-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_csr-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_csc-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_csc-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_csc-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_coo-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_coo-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_coo-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_csr-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_csr-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_csr-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_csc-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_csc-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_csc-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_coo-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_coo-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_coo-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_csr-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_csr-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_csr-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_csc-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_csc-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_csc-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_coo-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_coo-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_coo-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_csr-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_csr-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_csr-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_csc-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_csc-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_csc-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_coo-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_coo-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_coo-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_csr-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_csr-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_csr-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_csc-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_csc-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_csc-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_coo-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_coo-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_coo-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_csr-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_csr-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_csr-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_csc-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_csc-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_csc-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_coo-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_coo-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_coo-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_csr-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_csr-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_csr-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_csc-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_csc-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_csc-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_coo-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_coo-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_coo-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_csr-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_csr-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_csr-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_csc-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_csc-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_csc-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_coo-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_coo-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_coo-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_csr-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_csr-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_csr-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_csc-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_csc-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_csc-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_coo-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_coo-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_coo-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_csr-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_csr-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_csr-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_csc-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_csc-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_csc-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_coo-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_coo-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_coo-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_csr-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_csr-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_csr-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_csc-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_csc-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_csc-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_coo-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_coo-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_coo-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_csr-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_csr-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_csr-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_csc-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_csc-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_csc-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_coo-rand_coo] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_coo-rand_csr] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_coo-rand_csc] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_csr-rand_coo] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_csr-rand_csr] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_csr-rand_csc] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_csc-rand_coo] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_csc-rand_csr] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_csc-rand_csc] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm_duplicate PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_docstring[reduce] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_docstring[sum] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_docstring[smin] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_docstring[smax] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_docstring[sprod] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_docstring[smean] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-sum-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-sum-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-amin-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-amin-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-amax-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-amax-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-mean-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-mean-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-prod-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-prod-shape1] PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-sum-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-sum-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-amin-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-amin-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-amax-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-amax-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-mean-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-mean-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-prod-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-prod-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-False-0-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-False-0-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-False-1-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-False-1-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-True-0-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-True-0-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-True-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-True-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-False-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-False-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-False-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-False-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-True-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-True-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-True-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-True-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-False-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-False-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-False-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-False-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-True-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-True-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-True-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-True-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-False-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-False-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-False-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-False-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-True-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-True-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-True-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-True-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-False-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-False-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-False-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-False-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-True-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-True-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-True-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-True-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-False-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-False-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-False-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-False-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-True-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-True-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-True-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-True-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-False-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-False-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-False-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-False-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-True-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-True-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-True-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-True-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-False-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-False-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-False-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-False-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-True-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-True-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-True-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-True-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-False-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-False-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-False-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-False-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-True-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-True-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-True-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-True-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-False-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-False-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-False-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-False-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-True-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-True-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-True-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-True-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-2-shape0-rand_coo] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-2-shape0-rand_csr] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-2-shape0-rand_csc] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-2-shape1-rand_coo] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-2-shape1-rand_csr] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-2-shape1-rand_csc] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-10-shape0-rand_coo] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-10-shape0-rand_csr] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-10-shape0-rand_csc] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-10-shape1-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-10-shape1-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-10-shape1-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-2-shape0-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-2-shape0-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-2-shape0-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-2-shape1-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-2-shape1-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-2-shape1-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-10-shape0-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-10-shape0-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-10-shape0-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-10-shape1-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-10-shape1-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-10-shape1-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-2-shape0-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-2-shape0-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-2-shape0-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-2-shape1-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-2-shape1-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-2-shape1-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-10-shape0-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-10-shape0-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-10-shape0-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-10-shape1-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-10-shape1-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-10-shape1-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-2-shape0-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-2-shape0-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-2-shape0-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-2-shape1-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-2-shape1-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-2-shape1-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-10-shape0-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-10-shape0-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-10-shape0-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-10-shape1-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-10-shape1-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-10-shape1-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_softmax.py::test_softmax[True-None] PASSED [ 94%] tests/pytorch/sparse/test_softmax.py::test_softmax[True-2] PASSED [ 94%] tests/pytorch/sparse/test_softmax.py::test_softmax[False-None] PASSED [ 94%] tests/pytorch/sparse/test_softmax.py::test_softmax[False-2] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col0-row0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col0-row0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col0-row1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col0-row1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col1-row0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col1-row0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col1-row1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col1-row1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col0-row0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col0-row0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col0-row1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col0-row1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col1-row0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col1-row0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col1-row1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col1-row1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col0-row0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col0-row0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col0-row1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col0-row1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col1-row0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col1-row0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col1-row1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col1-row1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices0-indptr0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices0-indptr0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices0-indptr1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices0-indptr1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices1-indptr0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices1-indptr0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices1-indptr1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices1-indptr1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices0-indptr0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices0-indptr0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices0-indptr1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices0-indptr1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices1-indptr0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices1-indptr0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices1-indptr1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices1-indptr1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices0-indptr0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices0-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices0-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices0-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices1-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices1-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices1-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices1-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices0-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices0-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices0-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices0-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices1-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices1-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices1-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices1-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_dense[3] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_dense[val_shape1] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices0-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices0-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices0-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices0-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices1-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices1-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices1-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices1-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices0-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices0-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices0-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices0-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices1-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices1-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices1-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices1-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices0-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices0-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices0-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices0-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices1-indptr0-None] PASSED [ 96%]PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices1-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices1-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices1-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices0-indptr0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices0-indptr0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices0-indptr1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices0-indptr1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices1-indptr0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices1-indptr0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices1-indptr1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices1-indptr1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col0-row0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col0-row0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col0-row1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col0-row1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col1-row0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col1-row0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col1-row1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col1-row1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col0-row0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col0-row0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col0-row1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col0-row1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col1-row0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col1-row0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col1-row1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col1-row1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col0-row0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col0-row0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col0-row1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col0-row1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col1-row0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col1-row0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col1-row1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col1-row1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices0-indptr0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices0-indptr0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices0-indptr1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices0-indptr1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices1-indptr0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices1-indptr0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices1-indptr1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices1-indptr1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices0-indptr0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices0-indptr0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices0-indptr1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices0-indptr1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices1-indptr0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices1-indptr0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices1-indptr1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices1-indptr1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col0-row0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col0-row0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col0-row1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col0-row1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col1-row0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col1-row0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col1-row1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col1-row1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col0-row0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col0-row0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col0-row1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col0-row1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col1-row0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col1-row0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col1-row1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col1-row1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col0-row0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col0-row0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col0-row1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col0-row1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col1-row0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col1-row0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col1-row1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col1-row1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices0-indptr0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices0-indptr0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices0-indptr1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices0-indptr1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices1-indptr0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices1-indptr0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices1-indptr1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices1-indptr1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices0-indptr0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices0-indptr0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices0-indptr1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices0-indptr1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices1-indptr0-None] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices1-indptr0-4] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices1-indptr1-None] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices1-indptr1-4] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_val_like[shape0-3] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_val_like[shape0-val_shape1] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_val_like[shape1-3] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_val_like[shape1-val_shape1] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_coalesce PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_has_duplicate PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_print PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_to_device[cpu] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_to_device[cuda] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_to_dtype[dtype0] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_to_dtype[dtype1] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_to_dtype[dtype2] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_to_dtype[dtype3] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape0] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape1] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape0] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape1] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape0] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape1] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-2] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-2] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-2] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-2] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-2] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-2] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-2] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-2] PASSED [ 99%] tests/pytorch/sparse/test_unary_op_diag.py::test_neg PASSED [ 99%] tests/pytorch/sparse/test_unary_op_diag.py::test_inv PASSED [ 99%] tests/pytorch/sparse/test_unary_op_sp.py::test_neg PASSED [100%] =============================== warnings summary =============================== tests/pytorch/test_dataloader.py: 10 warnings /root/jenkins/workspace/dgl_PR-4483/python/dgl/dataloading/dataloader.py:869: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html]) dgl_warning(f'Dataloader CPU affinity opt is not enabled, consider switching it on ' tests/pytorch/test_nn.py: 11 warnings tests/pytorch/test_pickle.py: 1 warning /root/jenkins/workspace/dgl_PR-4483/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/pytorch/test_nn.py::test_dense_cheb_conv[1] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] /root/jenkins/workspace/dgl_PR-4483/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-16-16] /root/jenkins/workspace/dgl_PR-4483/python/dgl/backend/pytorch/tensor.py:52: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at ../aten/src/ATen/native/Copy.cpp:250.) return th.as_tensor(data, dtype=dtype) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4483/pytest_backend.xml -- ============================ slowest 100 durations ============================= 24.66s call tests/pytorch/test_dist_optim.py::test_sparse_opt 20.21s call tests/pytorch/sparse/test_example.py::test_hgnn 17.99s call tests/pytorch/sparse/test_example.py::test_twirls 11.13s call tests/pytorch/sparse/test_example.py::test_gcnii 9.00s call tests/pytorch/sparse/test_example.py::test_hypergraphatt 5.94s call tests/pytorch/sparse/test_example.py::test_gcn 5.83s call tests/pytorch/sparse/test_example.py::test_appnp 5.40s call tests/pytorch/sparse/test_example.py::test_sign 5.33s call tests/pytorch/sparse/test_example.py::test_sgc 5.33s call tests/pytorch/sparse/test_example.py::test_c_and_s 5.26s call tests/pytorch/sparse/test_example.py::test_gat 4.72s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] 2.36s call tests/pytorch/test_dataloader.py::test_cluster_gcn[0] 2.31s call tests/pytorch/test_nn.py::test_heterognnexplainer[2-5-idtype0-g0] 2.25s call tests/pytorch/test_nn.py::test_heterognnexplainer[1-5-idtype0-g0] 1.74s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 1.48s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 1.27s call tests/pytorch/test_ipc.py::test_torch_ipc 1.27s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 1.22s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 1.21s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 1.20s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 1.12s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 1.12s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 1.09s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 1.04s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 1.03s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 1.03s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 1.03s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 1.01s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 0.99s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype0] 0.82s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 0.80s call tests/pytorch/test_dataloader.py::test_saint[node-4] 0.80s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 0.76s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype0] 0.75s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype1] 0.75s call tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-prod-shape1] 0.74s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype1] 0.73s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype0] 0.72s call tests/pytorch/test_dataloader.py::test_shadow[4] 0.67s call tests/pytorch/test_dataloader.py::test_cluster_gcn[4] 0.63s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype0] 0.59s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype1] 0.58s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype1] 0.57s call tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-prod-shape0] 0.55s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 0.55s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] 0.54s call tests/pytorch/test_dataloader.py::test_saint[edge-0] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] 0.54s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 0.53s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] 0.53s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 0.53s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] 0.53s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] 0.53s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 0.53s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] 0.49s call tests/pytorch/test_dataloader.py::test_saint[walk-0] 0.47s call tests/pytorch/test_dataloader.py::test_shadow[0] 0.47s call tests/pytorch/test_dataloader.py::test_saint[node-0] 0.28s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-pure_gpu-idtype0] 0.24s call tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-blas] 0.20s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype0] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] 0.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] 0.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] 0.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] 0.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] 0.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] 0.17s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] 0.17s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] 0.17s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] 0.16s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] 0.16s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] 0.16s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] 0.16s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype0] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] 0.15s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] 0.14s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] 0.14s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] 0.14s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] 0.14s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] ========== 3892 passed, 280 skipped, 25 warnings in 212.02s (0:03:32) ========== Client [1126] waits on 172.17.0.9:36359 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.002 seconds, peak memory: 1.480 GB There are 11990 edges in the graph and 0 edge cuts for 1 partitions. [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch GPU Example test) [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks build cluster_gcn.pkl cmake conda cora_full cora_full.zip cora_v2 cora_v2.zip dataset dgl_sparse dglgo docker docs examples featgraph include minigc ogbg-molhiv-as-graphpred ogbl-collab-as-linkpred ogbn-arxiv-as-nodepred optim_ip_config.txt pyproject.toml pytest_backend.xml pytest_compute.xml python readthedocs.yml src tensoradapter tests third_party tools tutorials [05:55:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load test_sampling start graph service on server 0 for part 0 [05:55:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13648]... [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@7bc7eb01; decorates RemoteLauncher[hudson.remoting.Channel@41230701:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash Client [1126] waits on 172.17.0.9:48095 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.001 seconds, peak memory: 1.480 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. [05:55:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load test_sampling start graph service on server 0 for part 0 [05:55:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:55:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13648]... PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype0] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype1] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype0] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype1] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id SKIPPED (NCCL only runs on ...) [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_support SKIPPED (NCCL only run...) [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] SKIPPED [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype0] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype1] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_batched_heterograph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_subgraph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype0] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype1] SKIPPED [ 13%] tests/compute/test_pin_memory.py::test_pin_unpin SKIPPED (Need gpu f...) [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype1] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] PASSED [ 13%] tests/compute/test_random.py::test_random_choice PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g3-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype1] PASSED [ 19%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] SKIPPED [ 19%] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec PASSED [ 20%] tests/compute/test_sampling.py::test_pack_traces PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_mask PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so, build/dgl_sparse/*.so from dgl-gpu-linux [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_example_test.sh gpu PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] /root/jenkins/workspace/dgl_PR-4483/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tensor([0.0140, 0.0071, 0.0127, 0.0093, 0.0123, 0.0120, 0.0105, 0.0137, 0.0097, 0.0033, 0.0078, 0.0106, 0.0075, 0.0112, 0.0111, 0.0096, 0.0075, 0.0106, 0.0108, 0.0078, 0.0093, 0.0096, 0.0110, 0.0091, 0.0114, 0.0046, 0.0138, 0.0163, 0.0138, 0.0077, 0.0133, 0.0094, 0.0107, 0.0063, 0.0049, 0.0122, 0.0080, 0.0142, 0.0060, 0.0080, 0.0210, 0.0158, 0.0097, 0.0107, 0.0122, 0.0172, 0.0080, 0.0076, 0.0063, 0.0053, 0.0051, 0.0095, 0.0095, 0.0063, 0.0081, 0.0106, 0.0075, 0.0117, 0.0060, 0.0093, 0.0082, 0.0119, 0.0066, 0.0147, 0.0130, 0.0171, 0.0129, 0.0075, 0.0078, 0.0064, 0.0084, 0.0162, 0.0032, 0.0154, 0.0061, 0.0220, 0.0140, 0.0076, 0.0096, 0.0077, 0.0077, 0.0125, 0.0015, 0.0106, 0.0092, 0.0111, 0.0084, 0.0091, 0.0063, 0.0110, 0.0106, 0.0125, 0.0065, 0.0115, 0.0093, 0.0110, 0.0070, 0.0068, 0.0035, 0.0131]) PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] Client [1126] waits on 172.17.0.9:36869 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Done sampling Server (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.001 seconds, peak memory: 1.480 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. load test_sampling [05:56:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] start graph service on server 0 for part 0 [05:56:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:10819]... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 21%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 21%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 21%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_heterograph Training with DGL built-in GraphConv module. Downloading /root/jenkins/workspace/dgl_PR-4483/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4483/cora_v2 Finished data loading and preprocessing. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done saving data into cached files. Training... Epoch 00000 | Loss 1.9465 | Accuracy 0.2480 Epoch 00001 | Loss 1.9416 | Accuracy 0.1960 Epoch 00002 | Loss 1.9351 | Accuracy 0.3320 Epoch 00003 | Loss 1.9259 | Accuracy 0.3640 Epoch 00004 | Loss 1.9222 | Accuracy 0.3160 Epoch 00005 | Loss 1.9116 | Accuracy 0.3740 Epoch 00006 | Loss 1.9013 | Accuracy 0.4260 Epoch 00007 | Loss 1.8905 | Accuracy 0.5000 Epoch 00008 | Loss 1.8771 | Accuracy 0.5500 Epoch 00009 | Loss 1.8677 | Accuracy 0.5880 Epoch 00010 | Loss 1.8586 | Accuracy 0.6120 Epoch 00011 | Loss 1.8459 | Accuracy 0.6380 Epoch 00012 | Loss 1.8339 | Accuracy 0.6480 Epoch 00013 | Loss 1.8179 | Accuracy 0.6540 Epoch 00014 | Loss 1.8019 | Accuracy 0.6640 Epoch 00015 | Loss 1.7960 | Accuracy 0.6720 Epoch 00016 | Loss 1.7799 | Accuracy 0.6880 Epoch 00017 | Loss 1.7624 | Accuracy 0.7020 Epoch 00018 | Loss 1.7485 | Accuracy 0.6960 Epoch 00019 | Loss 1.7224 | Accuracy 0.6920 Epoch 00020 | Loss 1.7129 | Accuracy 0.6940 Epoch 00021 | Loss 1.6944 | Accuracy 0.6980 Epoch 00022 | Loss 1.6640 | Accuracy 0.7000 Epoch 00023 | Loss 1.6467 | Accuracy 0.7040 Epoch 00024 | Loss 1.6389 | Accuracy 0.7060 Epoch 00025 | Loss 1.6149 | Accuracy 0.6940 Epoch 00026 | Loss 1.5981 | Accuracy 0.7000 Epoch 00027 | Loss 1.5753 | Accuracy 0.7000 Epoch 00028 | Loss 1.5570 | Accuracy 0.7060 Epoch 00029 | Loss 1.5302 | Accuracy 0.7040 Epoch 00030 | Loss 1.5164 | Accuracy 0.7100 Epoch 00031 | Loss 1.5237 | Accuracy 0.7140 Epoch 00032 | Loss 1.4749 | Accuracy 0.7240 Epoch 00033 | Loss 1.4474 | Accuracy 0.7220 Epoch 00034 | Loss 1.4486 | Accuracy 0.7300 Epoch 00035 | Loss 1.4087 | Accuracy 0.7400 Epoch 00036 | Loss 1.3837 | Accuracy 0.7420 Epoch 00037 | Loss 1.3482 | Accuracy 0.7480 Epoch 00038 | Loss 1.3451 | Accuracy 0.7500 Epoch 00039 | Loss 1.3288 | Accuracy 0.7460 Epoch 00040 | Loss 1.3089 | Accuracy 0.7440 Epoch 00041 | Loss 1.2728 | Accuracy 0.7480 Epoch 00042 | Loss 1.2608 | Accuracy 0.7480 Epoch 00043 | Loss 1.2456 | Accuracy 0.7560 Epoch 00044 | Loss 1.1945 | Accuracy 0.7640 Epoch 00045 | Loss 1.1897 | Accuracy 0.7680 Epoch 00046 | Loss 1.1610 | Accuracy 0.7740 Epoch 00047 | Loss 1.1320 | Accuracy 0.7780 Epoch 00048 | Loss 1.1237 | Accuracy 0.7800 Epoch 00049 | Loss 1.1250 | Accuracy 0.7820 Epoch 00050 | Loss 1.0742 | Accuracy 0.7800 Epoch 00051 | Loss 1.0495 | Accuracy 0.7780 Epoch 00052 | Loss 1.0282 | Accuracy 0.7760 Epoch 00053 | Loss 1.0510 | Accuracy 0.7800 Epoch 00054 | Loss 1.0271 | Accuracy 0.7800 Epoch 00055 | Loss 1.0227 | Accuracy 0.7800 Epoch 00056 | Loss 0.9609 | Accuracy 0.7800 Epoch 00057 | Loss 0.9691 | Accuracy 0.7880 Epoch 00058 | Loss 0.9551 | Accuracy 0.7880 Epoch 00059 | Loss 0.8896 | Accuracy 0.7900 Epoch 00060 | Loss 0.9250 | Accuracy 0.7920 Epoch 00061 | Loss 0.8908 | Accuracy 0.7940 Epoch 00062 | Loss 0.8573 | Accuracy 0.7920 Epoch 00063 | Loss 0.8908 | Accuracy 0.7920 Epoch 00064 | Loss 0.8794 | Accuracy 0.7900 Epoch 00065 | Loss 0.8290 | Accuracy 0.7900 Epoch 00066 | Loss 0.8312 | Accuracy 0.7900 Epoch 00067 | Loss 0.8260 | Accuracy 0.7900 Epoch 00068 | Loss 0.7866 | Accuracy 0.7880 Epoch 00069 | Loss 0.7782 | Accuracy 0.7900 Epoch 00070 | Loss 0.7899 | Accuracy 0.7900 Epoch 00071 | Loss 0.7857 | Accuracy 0.7880 Epoch 00072 | Loss 0.7494 | Accuracy 0.7860 Epoch 00073 | Loss 0.7306 | Accuracy 0.7880 Epoch 00074 | Loss 0.7671 | Accuracy 0.7880 Epoch 00075 | Loss 0.7064 | Accuracy 0.7900 Epoch 00076 | Loss 0.7206 | Accuracy 0.7920 Epoch 00077 | Loss 0.6690 | Accuracy 0.7960 Epoch 00078 | Loss 0.6771 | Accuracy 0.7960 Epoch 00079 | Loss 0.6758 | Accuracy 0.7960 Epoch 00080 | Loss 0.6718 | Accuracy 0.7980 Epoch 00081 | Loss 0.6525 | Accuracy 0.7960 Epoch 00082 | Loss 0.6323 | Accuracy 0.7940 Epoch 00083 | Loss 0.6408 | Accuracy 0.7960 Epoch 00084 | Loss 0.6333 | Accuracy 0.7940 Epoch 00085 | Loss 0.6505 | Accuracy 0.7940 Epoch 00086 | Loss 0.6227 | Accuracy 0.7940 Epoch 00087 | Loss 0.6451 | Accuracy 0.7960 Epoch 00088 | Loss 0.6492 | Accuracy 0.7940 Epoch 00089 | Loss 0.6069 | Accuracy 0.7940 Epoch 00090 | Loss 0.5947 | Accuracy 0.7900 Epoch 00091 | Loss 0.6112 | Accuracy 0.7900 Epoch 00092 | Loss 0.5605 | Accuracy 0.7900 Epoch 00093 | Loss 0.5827 | Accuracy 0.7940 Epoch 00094 | Loss 0.5637 | Accuracy 0.7940 Epoch 00095 | Loss 0.5761 | Accuracy 0.7980 Epoch 00096 | Loss 0.5621 | Accuracy 0.8040 Epoch 00097 | Loss 0.5269 | Accuracy 0.8060 Epoch 00098 | Loss 0.5318 | Accuracy 0.8040 Epoch 00099 | Loss 0.5459 | Accuracy 0.8060 Epoch 00100 | Loss 0.5175 | Accuracy 0.8060 Epoch 00101 | Loss 0.5197 | Accuracy 0.7940 Epoch 00102 | Loss 0.5397 | Accuracy 0.7920 Epoch 00103 | Loss 0.5268 | Accuracy 0.7920 Epoch 00104 | Loss 0.5193 | Accuracy 0.7920 Epoch 00105 | Loss 0.5247 | Accuracy 0.7900 Epoch 00106 | Loss 0.5280 | Accuracy 0.7940 Epoch 00107 | Loss 0.5339 | Accuracy 0.7940 Epoch 00108 | Loss 0.5108 | Accuracy 0.7960 Epoch 00109 | Loss 0.5659 | Accuracy 0.7860 Epoch 00110 | Loss 0.5346 | Accuracy 0.7880 Epoch 00111 | Loss 0.4761 | Accuracy 0.7880 Epoch 00112 | Loss 0.4793 | Accuracy 0.7860 Epoch 00113 | Loss 0.5217 | Accuracy 0.7840 Epoch 00114 | Loss 0.5278 | Accuracy 0.7820 Epoch 00115 | Loss 0.4831 | Accuracy 0.7860 Epoch 00116 | Loss 0.4824 | Accuracy 0.7880 Epoch 00117 | Loss 0.5084 | Accuracy 0.7880 Epoch 00118 | Loss 0.4917 | Accuracy 0.7880 Epoch 00119 | Loss 0.4980 | Accuracy 0.7900 Epoch 00120 | Loss 0.4756 | Accuracy 0.8000 Epoch 00121 | Loss 0.4644 | Accuracy 0.8120 Epoch 00122 | Loss 0.4681 | Accuracy 0.8100 Epoch 00123 | Loss 0.4394 | Accuracy 0.8100 Epoch 00124 | Loss 0.4641 | Accuracy 0.8060 Epoch 00125 | Loss 0.4481 | Accuracy 0.8100 Epoch 00126 | Loss 0.4682 | Accuracy 0.8020 Epoch 00127 | Loss 0.4552 | Accuracy 0.8000 Epoch 00128 | Loss 0.5008 | Accuracy 0.7960 Epoch 00129 | Loss 0.4025 | Accuracy 0.7940 Epoch 00130 | Loss 0.4327 | Accuracy 0.7920 Epoch 00131 | Loss 0.4520 | Accuracy 0.7880 Epoch 00132 | Loss 0.4257 | Accuracy 0.7880 Epoch 00133 | Loss 0.4001 | Accuracy 0.7880 Epoch 00134 | Loss 0.4152 | Accuracy 0.7900 Epoch 00135 | Loss 0.4198 | Accuracy 0.7960 Epoch 00136 | Loss 0.4162 | Accuracy 0.8000 Epoch 00137 | Loss 0.4033 | Accuracy 0.8020 Epoch 00138 | Loss 0.4013 | Accuracy 0.8080 Epoch 00139 | Loss 0.4063 | Accuracy 0.8040 Epoch 00140 | Loss 0.4211 | Accuracy 0.7980 Epoch 00141 | Loss 0.4391 | Accuracy 0.7920 Epoch 00142 | Loss 0.4103 | Accuracy 0.7900 Epoch 00143 | Loss 0.4680 | Accuracy 0.7920 Epoch 00144 | Loss 0.3776 | Accuracy 0.7920 Epoch 00145 | Loss 0.4100 | Accuracy 0.7940 Epoch 00146 | Loss 0.4380 | Accuracy 0.7920 Epoch 00147 | Loss 0.4193 | Accuracy 0.7940 Epoch 00148 | Loss 0.3898 | Accuracy 0.7960 Epoch 00149 | Loss 0.3894 | Accuracy 0.7960 Epoch 00150 | Loss 0.3955 | Accuracy 0.8020 Epoch 00151 | Loss 0.3680 | Accuracy 0.8000 Epoch 00152 | Loss 0.3723 | Accuracy 0.8000 Epoch 00153 | Loss 0.3952 | Accuracy 0.7980 Epoch 00154 | Loss 0.4470 | Accuracy 0.7980 Epoch 00155 | Loss 0.3952 | Accuracy 0.8020 Epoch 00156 | Loss 0.4157 | Accuracy 0.8020 Epoch 00157 | Loss 0.3473 | Accuracy 0.8020 Epoch 00158 | Loss 0.4009 | Accuracy 0.8040 Epoch 00159 | Loss 0.3622 | Accuracy 0.8020 Epoch 00160 | Loss 0.3910 | Accuracy 0.7980 Epoch 00161 | Loss 0.4062 | Accuracy 0.7920 Epoch 00162 | Loss 0.3777 | Accuracy 0.7920 Epoch 00163 | Loss 0.3677 | Accuracy 0.7960 Epoch 00164 | Loss 0.3725 | Accuracy 0.7980 Epoch 00165 | Loss 0.4044 | Accuracy 0.8000 Epoch 00166 | Loss 0.3263 | Accuracy 0.7980 Epoch 00167 | Loss 0.3492 | Accuracy 0.7980 Epoch 00168 | Loss 0.3352 | Accuracy 0.7980 Epoch 00169 | Loss 0.3291 | Accuracy 0.7980 Epoch 00170 | Loss 0.3685 | Accuracy 0.7980 Epoch 00171 | Loss 0.3614 | Accuracy 0.7960 Epoch 00172 | Loss 0.3755 | Accuracy 0.7980 Epoch 00173 | Loss 0.3484 | Accuracy 0.7980 Epoch 00174 | Loss 0.3461 | Accuracy 0.7980 Epoch 00175 | Loss 0.3544 | Accuracy 0.7940 Epoch 00176 | Loss 0.4128 | Accuracy 0.7980 Epoch 00177 | Loss 0.3727 | Accuracy 0.7980 Epoch 00178 | Loss 0.3513 | Accuracy 0.7960 Epoch 00179 | Loss 0.3572 | Accuracy 0.7940 Epoch 00180 | Loss 0.3347 | Accuracy 0.7960 Epoch 00181 | Loss 0.3349 | Accuracy 0.7980 Epoch 00182 | Loss 0.2970 | Accuracy 0.8000 Epoch 00183 | Loss 0.3404 | Accuracy 0.7980 Epoch 00184 | Loss 0.3409 | Accuracy 0.8020 Epoch 00185 | Loss 0.3491 | Accuracy 0.8020 Epoch 00186 | Loss 0.3242 | Accuracy 0.8020 Epoch 00187 | Loss 0.3267 | Accuracy 0.8000 Epoch 00188 | Loss 0.3355 | Accuracy 0.7960 Epoch 00189 | Loss 0.3539 | Accuracy 0.8000 Epoch 00190 | Loss 0.3292 | Accuracy 0.7980 Epoch 00191 | Loss 0.3071 | Accuracy 0.7980 Epoch 00192 | Loss 0.3377 | Accuracy 0.7980 Epoch 00193 | Loss 0.3238 | Accuracy 0.8000 Epoch 00194 | Loss 0.3163 | Accuracy 0.8020 Epoch 00195 | Loss 0.3498 | Accuracy 0.7980 Epoch 00196 | Loss 0.3329 | Accuracy 0.7940 Epoch 00197 | Loss 0.3152 | Accuracy 0.7940 Epoch 00198 | Loss 0.3360 | Accuracy 0.7940 Epoch 00199 | Loss 0.3274 | Accuracy 0.7960 Testing... Test accuracy 0.8180 PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-True] PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb lda/lda_model.py:38: UserWarning: cached_property not found - using property instead warnings.warn("cached_property not found - using property instead") Testing LatentDirichletAllocation ... {'prior': {'doc': 0.1, 'word': 0.1}, 'rho': 1, 'mult': {'doc': 1, 'word': 1}, 'init': {'doc': (100.0, 100.0), 'word': (100.0, 100.0)}, 'word_data': [tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5619e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5642e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5619e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5619e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5619e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5619e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 6.1491e-06, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5624e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 9.9963e-01, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5619e-05, 0.0000e+00]])]} Testing LatentDirichletAllocation passed! [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... Client [1126] waits on 172.17.0.9:36997 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.001 seconds, peak memory: 1.480 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 91924998158e86e376b4eb97548d3e8da1f9d64bc0d6e0c4f36927b5d7233e9a [05:56:10] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:10] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. load test_sampling start graph service on server 0 for part 0 [05:56:10] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:10] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19012]... $ docker rm -f 91924998158e86e376b4eb97548d3e8da1f9d64bc0d6e0c4f36927b5d7233e9a [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4483 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-False] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4483 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-True] + docker pull rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12: Pulling from rapidsai/cugraph_nightly_torch-cuda Digest: sha256:e2e62a12692e2748b06af925280deb518701a0a601478edbeba0bcb9b89ef847 Status: Image is up to date for rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 docker.io/rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dglci-manual-gpu-worker does not seem to be running inside a container $ docker run -t -d -u 0:0 --runtime nvidia --shm-size=8gb -w /root/jenkins/workspace/dgl_PR-4483 -v /root/jenkins/workspace/dgl_PR-4483:/root/jenkins/workspace/dgl_PR-4483:rw,z -v /root/jenkins/workspace/dgl_PR-4483@tmp:/root/jenkins/workspace/dgl_PR-4483@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** rapidsai/cugraph_nightly_torch-cuda:11.5-base-ubuntu18.04-py3.9-pytorch1.12.0-rapids22.12 cat $ docker top 5ad467c41904ba91ab43ba951ea86e8f71bb8bea76bc597bc504e803d750008e -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (PyTorch Cugraph GPU Unit test) [Pipeline] sh Client [1126] waits on 172.17.0.9:48685 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.001 seconds, peak memory: 1.480 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. + nvidia-smi Sun Jan 8 05:56:17 2023 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | | N/A 46C P8 16W / 70W | 0MiB / 15360MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dgl_sparse dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials load test_sampling [05:56:18] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:18] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@538d08aa; decorates RemoteLauncher[hudson.remoting.Channel@41230701:dglci-manual-gpu-worker] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags start graph service on server 0 for part 0 [05:56:18] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:18] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:18024]... Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-False] Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional PASSED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] [Pipeline] sh PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/METIS'... PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] PASSED [ 6%] tests/compute/test_ffi.py::test_cython PASSED [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] SKIPPED (CP...) [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] SKIPPED (CP...) [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph PASSED [ 6%] tests/compute/test_graph.py::test_query > git clean -fdx # timeout=10 Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/libxsmm'... PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_restricted_formats PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_graph PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 6%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 6%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 6%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] Client [1126] waits on 172.17.0.9:44653 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done sampling PASSED [ 12%] tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[2] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:56:24] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.480 GB part 0 has 1512 nodes and 1354 are inside the partition part 0 has 5630 edges and 5370 are inside the partition part 1 has 1552 nodes and 1354 are inside the partition part 1 has 5446 edges and 5186 are inside the partition Save partitions: 0.017 seconds, peak memory: 1.480 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] load test_sampling start graph service on server 0 for part 0 [05:56:25] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:25] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17314]... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] load test_sampling start graph service on server 1 for part 1 [05:56:26] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:26] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17316]... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] [05:56:27] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:27] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype0] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype1] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype1] Client [1758] waits on 172.17.0.9:37881 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype0] Server (1) shutdown. Server is exiting... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:56:31] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 6120 edges into 2 parts and get 204 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.480 GB part 0 has 587 nodes of type n1 and 519 are inside the partition part 0 has 574 nodes of type n2 and 511 are inside the partition part 0 has 585 nodes of type n3 and 525 are inside the partition part 0 has 565 edges of type ('n1', 'r12', 'n2') and 531 are inside the partition part 0 has 571 edges of type ('n1', 'r13', 'n3') and 535 are inside the partition part 0 has 554 edges of type ('n2', 'r23', 'n3') and 527 are inside the partition part 1 has 556 nodes of type n1 and 491 are inside the partition part 1 has 549 nodes of type n2 and 489 are inside the partition part 1 has 559 nodes of type n3 and 495 are inside the partition part 1 has 515 edges of type ('n1', 'r12', 'n2') and 479 are inside the partition part 1 has 530 edges of type ('n1', 'r13', 'n3') and 495 are inside the partition part 1 has 529 edges of type ('n2', 'r23', 'n3') and 493 are inside the partition Save partitions: 0.006 seconds, peak memory: 1.480 GB There are 3060 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] load test_sampling start graph service on server 0 for part 0 [05:56:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:14572]... PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] load test_sampling [05:56:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] start graph service on server 1 for part 1 [05:56:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:14574]... PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] SKIPPED (N...) [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/nanoflann'... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/nccl'... PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/pcg'... PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/phmap'... PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe'... PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype0] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype1] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/thrust'... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] PASSED [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm'... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] Client [1126] waits on 172.17.0.9:38737 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:56:40] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 6000 edges into 2 parts and get 199 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.480 GB part 0 has 555 nodes of type n1 and 493 are inside the partition part 0 has 550 nodes of type n2 and 486 are inside the partition part 0 has 556 nodes of type n3 and 496 are inside the partition part 0 has 508 edges of type ('n1', 'r12', 'n2') and 473 are inside the partition part 0 has 517 edges of type ('n1', 'r13', 'n3') and 486 are inside the partition part 0 has 494 edges of type ('n2', 'r23', 'n3') and 462 are inside the partition part 1 has 577 nodes of type n1 and 517 are inside the partition part 1 has 567 nodes of type n2 and 514 are inside the partition part 1 has 594 nodes of type n3 and 524 are inside the partition part 1 has 541 edges of type ('n1', 'r12', 'n2') and 517 are inside the partition part 1 has 565 edges of type ('n1', 'r13', 'n3') and 524 are inside the partition part 1 has 574 edges of type ('n2', 'r23', 'n3') and 538 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.480 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] load test_sampling start graph service on server 0 for part 0 [05:56:41] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:41] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:10819]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] load test_sampling start graph service on server 1 for part 1 [05:56:42] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:42] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:10821]... [05:56:42] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:42] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/xbyak'... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/METIS/GKlib'... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Client [1126] waits on 172.17.0.9:47775 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:56:46] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 630 nodes and 26440 edges into 2 parts and get 5514 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.480 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 103 are inside the partition part 0 has 220 nodes of type n3 and 113 are inside the partition part 0 has 3031 edges of type ('n1', 'r12', 'n2') and 2206 are inside the partition part 0 has 3360 edges of type ('n1', 'r13', 'n3') and 2360 are inside the partition part 0 has 3174 edges of type ('n2', 'r23', 'n3') and 2235 are inside the partition part 1 has 210 nodes of type n1 and 102 are inside the partition part 1 has 200 nodes of type n2 and 97 are inside the partition part 1 has 220 nodes of type n3 and 107 are inside the partition part 1 has 2893 edges of type ('n1', 'r12', 'n2') and 1994 are inside the partition part 1 has 3194 edges of type ('n1', 'r13', 'n3') and 2260 are inside the partition part 1 has 3082 edges of type ('n2', 'r23', 'n3') and 2165 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.480 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/googletest'... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] load test_sampling start graph service on server 0 for part 0 [05:56:47] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:47] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19012]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/libuv'... load test_sampling start graph service on server 1 for part 1 [05:56:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19014]... [05:56:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/pybind11'... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tensorpipe/third_party/pybind11/tools/clang'... Client [1126] waits on 172.17.0.9:47753 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/thrust/dependencies/cub'... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g0] Server (1) shutdown. Server is exiting... Done sampling Server (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:56:52] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 630 nodes and 26440 edges into 2 parts and get 5514 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.480 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 103 are inside the partition part 0 has 220 nodes of type n3 and 113 are inside the partition part 0 has 3031 edges of type ('n1', 'r12', 'n2') and 2206 are inside the partition part 0 has 3360 edges of type ('n1', 'r13', 'n3') and 2360 are inside the partition part 0 has 3174 edges of type ('n2', 'r23', 'n3') and 2235 are inside the partition part 1 has 210 nodes of type n1 and 102 are inside the partition part 1 has 200 nodes of type n2 and 97 are inside the partition part 1 has 220 nodes of type n3 and 107 are inside the partition part 1 has 2893 edges of type ('n1', 'r12', 'n2') and 1994 are inside the partition part 1 has 3194 edges of type ('n1', 'r13', 'n3') and 2260 are inside the partition part 1 has 3082 edges of type ('n2', 'r23', 'n3') and 2165 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.480 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' load test_sampling start graph service on server 0 for part 0 [05:56:54] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:54] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19012]... Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/dlpack'... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/dmlc-core'... load test_sampling start graph service on server 1 for part 1 [05:56:55] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:55] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19014]... [05:56:55] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:56:55] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/rang'... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4483/third_party/tvm/3rdparty/vta-hw'... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] Client [1126] waits on 172.17.0.9:37479 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] Server (1) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:56:59] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 630 nodes and 26440 edges into 2 parts and get 5514 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.480 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 103 are inside the partition part 0 has 220 nodes of type n3 and 113 are inside the partition part 0 has 3031 edges of type ('n1', 'r12', 'n2') and 2206 are inside the partition part 0 has 3360 edges of type ('n1', 'r13', 'n3') and 2360 are inside the partition part 0 has 3174 edges of type ('n2', 'r23', 'n3') and 2235 are inside the partition part 1 has 210 nodes of type n1 and 102 are inside the partition part 1 has 200 nodes of type n2 and 97 are inside the partition part 1 has 220 nodes of type n3 and 107 are inside the partition part 1 has 2893 edges of type ('n1', 'r12', 'n2') and 1994 are inside the partition part 1 has 3194 edges of type ('n1', 'r13', 'n3') and 2260 are inside the partition part 1 has 3082 edges of type ('n2', 'r23', 'n3') and 2165 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.480 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] load test_sampling start graph service on server 0 for part 0 [05:57:00] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:00] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19012]... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] load test_sampling start graph service on server 1 for part 1 [05:57:01] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:01] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19014]... [05:57:01] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:01] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] Client [1126] waits on 172.17.0.9:41067 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Done samplingServer is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:57:04] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 630 nodes and 26440 edges into 2 parts and get 5514 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.480 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 103 are inside the partition part 0 has 220 nodes of type n3 and 113 are inside the partition part 0 has 3031 edges of type ('n1', 'r12', 'n2') and 2206 are inside the partition part 0 has 3360 edges of type ('n1', 'r13', 'n3') and 2360 are inside the partition part 0 has 3174 edges of type ('n2', 'r23', 'n3') and 2235 are inside the partition part 1 has 210 nodes of type n1 and 102 are inside the partition part 1 has 200 nodes of type n2 and 97 are inside the partition part 1 has 220 nodes of type n3 and 107 are inside the partition part 1 has 2893 edges of type ('n1', 'r12', 'n2') and 1994 are inside the partition part 1 has 3194 edges of type ('n1', 'r13', 'n3') and 2260 are inside the partition part 1 has 3082 edges of type ('n2', 'r23', 'n3') and 2165 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.480 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so, build/dgl_sparse/*.so from dgl-cugraph-linux [Pipeline] timeout Timeout set to expire in 15 min [Pipeline] { [Pipeline] sh PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] + bash tests/scripts/cugraph_unit_test.sh pytorch PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] load test_sampling start graph service on server 0 for part 0 [05:57:05] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:05] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19012]... Collecting pytest Downloading pytest-7.2.0-py3-none-any.whl (316 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 316.8/316.8 kB 10.2 MB/s eta 0:00:00 Requirement already satisfied: psutil in /opt/conda/lib/python3.9/site-packages (5.9.3) Requirement already satisfied: pyyaml in /opt/conda/lib/python3.9/site-packages (6.0) Collecting pydantic Downloading pydantic-1.10.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.2 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.2/3.2 MB 77.3 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/lib/python3.9/site-packages (1.5.1) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 73.7 MB/s eta 0:00:00 Collecting ogb Downloading ogb-1.3.5-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 15.2 MB/s eta 0:00:00 Collecting tomli>=1.0.0 Downloading tomli-2.0.1-py3-none-any.whl (12 kB) Collecting attrs>=19.2.0 Downloading attrs-22.2.0-py3-none-any.whl (60 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 60.0/60.0 kB 16.4 MB/s eta 0:00:00 Requirement already satisfied: packaging in /opt/conda/lib/python3.9/site-packages (from pytest) (21.3) Collecting iniconfig Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB) Collecting pluggy<2.0,>=0.12 Downloading pluggy-1.0.0-py2.py3-none-any.whl (13 kB) Collecting exceptiongroup>=1.0.0rc8 Downloading exceptiongroup-1.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: typing-extensions>=4.2.0 in /opt/conda/lib/python3.9/site-packages (from pydantic) (4.4.0) Requirement already satisfied: python-dateutil>=2.8.1 in /opt/conda/lib/python3.9/site-packages (from pandas) (2.8.2) Requirement already satisfied: pytz>=2020.1 in /opt/conda/lib/python3.9/site-packages (from pandas) (2022.5) Requirement already satisfied: numpy>=1.20.3 in /opt/conda/lib/python3.9/site-packages (from pandas) (1.23.4) Requirement already satisfied: pyparsing in /opt/conda/lib/python3.9/site-packages (from rdflib) (3.0.9) Requirement already satisfied: setuptools in /opt/conda/lib/python3.9/site-packages (from rdflib) (65.5.0) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 9.3 MB/s eta 0:00:00 Requirement already satisfied: six>=1.12.0 in /opt/conda/lib/python3.9/site-packages (from ogb) (1.16.0) Collecting outdated>=0.2.0 Downloading outdated-0.2.2-py2.py3-none-any.whl (7.5 kB) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/lib/python3.9/site-packages (from ogb) (1.26.11) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/lib/python3.9/site-packages (from ogb) (4.64.1) Requirement already satisfied: torch>=1.6.0 in /opt/conda/lib/python3.9/site-packages (from ogb) (1.12.0) PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] Collecting scikit-learn>=0.20.0 Downloading scikit_learn-1.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.5 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.5/9.5 MB 119.4 MB/s eta 0:00:00 load test_sampling start graph service on server 1 for part 1 [05:57:06] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:06] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19014]... [05:57:06] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:06] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Collecting littleutils Downloading littleutils-0.2.2.tar.gz (6.6 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Requirement already satisfied: requests in /opt/conda/lib/python3.9/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Collecting threadpoolctl>=2.0.0 Downloading threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: joblib>=1.1.1 in /opt/conda/lib/python3.9/site-packages (from scikit-learn>=0.20.0->ogb) (1.2.0) Requirement already satisfied: scipy>=1.3.2 in /opt/conda/lib/python3.9/site-packages (from scikit-learn>=0.20.0->ogb) (1.9.3) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/lib/python3.9/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.1) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.9/site-packages (from requests->outdated>=0.2.0->ogb) (3.4) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.9/site-packages (from requests->outdated>=0.2.0->ogb) (2022.9.24) Building wheels for collected packages: littleutils Building wheel for littleutils (setup.py): started PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] Building wheel for littleutils (setup.py): finished with status 'done' Created wheel for littleutils: filename=littleutils-0.2.2-py3-none-any.whl size=7028 sha256=250e16ea7acb25d40f6167ae139a07b3c9b0b1d8fd527baf6864d823368ee1f3 Stored in directory: /root/.cache/pip/wheels/91/65/42/611f406093de7b9b8f74ce69878ccfddb8cf7b85ec7eb93d78 Successfully built littleutils Installing collected packages: littleutils, tomli, threadpoolctl, pydantic, pluggy, isodate, iniconfig, exceptiongroup, attrs, scikit-learn, rdflib, pytest, outdated, ogb PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] Client [1126] waits on 172.17.0.9:56507 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:57:10] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 630 nodes and 23980 edges into 2 parts and get 4887 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.480 GB part 0 has 210 nodes of type n1 and 108 are inside the partition part 0 has 200 nodes of type n2 and 103 are inside the partition part 0 has 214 nodes of type n3 and 111 are inside the partition part 0 has 2646 edges of type ('n1', 'r12', 'n2') and 1856 are inside the partition part 0 has 2949 edges of type ('n1', 'r13', 'n3') and 2133 are inside the partition part 0 has 2765 edges of type ('n2', 'r23', 'n3') and 2020 are inside the partition part 1 has 200 nodes of type n1 and 102 are inside the partition part 1 has 190 nodes of type n2 and 97 are inside the partition part 1 has 216 nodes of type n3 and 109 are inside the partition part 1 has 2707 edges of type ('n1', 'r12', 'n2') and 1944 are inside the partition part 1 has 2976 edges of type ('n1', 'r13', 'n3') and 2067 are inside the partition part 1 has 2834 edges of type ('n2', 'r23', 'n3') and 1970 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.480 GB There are 11990 edges in the graph and 0 edge cuts for 2 partitions. Successfully installed attrs-22.2.0 exceptiongroup-1.1.0 iniconfig-2.0.0 isodate-0.6.1 littleutils-0.2.2 ogb-1.3.5 outdated-0.2.2 pluggy-1.0.0 pydantic-1.10.4 pytest-7.2.0 rdflib-6.2.0 scikit-learn-1.2.0 threadpoolctl-3.1.0 tomli-2.0.1 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g0] ============================= test session starts ============================== platform linux -- Python 3.9.13, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4483 collecting ... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] load test_sampling start graph service on server 0 for part 0 [05:57:11] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:11] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19012]... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] load test_sampling start graph service on server 1 for part 1 [05:57:12] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:12] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19014]... [05:57:12] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:12] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] Client [1126] waits on 172.17.0.9:49507 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:57:15] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 29 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.480 GB part 0 has 507 nodes of type game and 487 are inside the partition part 0 has 257 nodes of type user and 249 are inside the partition part 0 has 501 edges of type ('user', 'buys', 'game') and 480 are inside the partition part 1 has 521 nodes of type game and 513 are inside the partition part 1 has 271 nodes of type user and 251 are inside the partition part 1 has 528 edges of type ('user', 'buys', 'game') and 520 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.480 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype0] PASSED [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[idtype1] PASSED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional PASSED [ 5%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype0-dst-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-src-g0] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] PASSED [ 6%] tests/compute/test_ffi.py::test_cython SKIPPED (Cython only works on...) [ 6%] tests/compute/test_ffi.py::test_callback[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback[2.3] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[1] PASSED [ 6%] tests/compute/test_ffi.py::test_callback_thread[2.3] PASSED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[idtype0] SKIPPED (CP...) [ 6%] tests/compute/test_filter.py::test_array_filter[idtype1] SKIPPED (CP...) [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph PASSED [ 6%] tests/compute/test_graph.py::test_query PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 6%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 6%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 6%] tests/compute/test_graph.py::test_is_sorted PASSED [ 7%] tests/compute/test_graph.py::test_default_types PASSED [ 7%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_adj[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_inc[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[idtype1] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype0] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device[idtype1] SKIPPED (...) [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype0] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-idtype1] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_to_device2[g1-idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype0] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[idtype1] SKIPPED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert_bound[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_convert[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo_zero_nodes[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_to_homo2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_metagraph_reachable[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] SKIPPED (N...) [ 8%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_graph_index_is_unibipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_bipartite[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_dtype_cast[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_float_cast PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype0] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype1] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler PASSED [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins load test_sampling start graph service on server 0 for part 0 [05:57:16] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:16] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19012]... collected 15 items tests/cugraph/test_basics.py::test_dummy PASSED [ 6%] tests/cugraph/test_basics.py::test_to_cugraph_conversion PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] load test_sampling start graph service on server 1 for part 1 [05:57:17] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:17] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19014]... [05:57:17] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:17] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] Client [1126] waits on 172.17.0.9:39439 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] Server (1) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:57:21] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 22 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.480 GB part 0 has 531 nodes of type game and 515 are inside the partition part 0 has 261 nodes of type user and 255 are inside the partition part 0 has 530 edges of type ('user', 'buys', 'game') and 514 are inside the partition part 1 has 491 nodes of type game and 485 are inside the partition part 1 has 261 nodes of type user and 245 are inside the partition part 1 has 492 edges of type ('user', 'buys', 'game') and 486 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.480 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] load test_sampling start graph service on server 0 for part 0 [05:57:22] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:22] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:14572]... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] load test_sampling start graph service on server 1 for part 1 [05:57:23] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:23] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:14574]... [05:57:23] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:23] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] Client [1126] waits on 172.17.0.9:33285 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:57:27] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 28 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.480 GB part 0 has 522 nodes of type game and 512 are inside the partition part 0 has 275 nodes of type user and 257 are inside the partition part 0 has 531 edges of type ('user', 'buys', 'game') and 521 are inside the partition part 1 has 505 nodes of type game and 488 are inside the partition part 1 has 253 nodes of type user and 243 are inside the partition part 1 has 497 edges of type ('user', 'buys', 'game') and 479 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.480 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] load test_sampling start graph service on server 0 for part 0 [05:57:28] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:28] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:29349]... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] load test_sampling [05:57:29] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:29] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start graph service on server 1 for part 1 [05:57:29] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:29] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:29351]... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 13%] tests/cugraph/test_basics.py::test_from_cugraph_conversion PASSED [ 20%] tests/cugraph/cugraph-ops/test_cugraph_relgraphconv.py::test_full_graph[None-None-False] SKIPPED [ 26%] tests/cugraph/cugraph-ops/test_cugraph_relgraphconv.py::test_full_graph[None-None-True] SKIPPED [ 33%] tests/cugraph/cugraph-ops/test_cugraph_relgraphconv.py::test_full_graph[None-8-False] SKIPPED [ 40%] tests/cugraph/cugraph-ops/test_cugraph_relgraphconv.py::test_full_graph[None-8-True] SKIPPED [ 46%] tests/cugraph/cugraph-ops/test_cugraph_relgraphconv.py::test_full_graph[basis-None-False] SKIPPED [ 53%] tests/cugraph/cugraph-ops/test_cugraph_relgraphconv.py::test_full_graph[basis-None-True] SKIPPED [ 60%] tests/cugraph/cugraph-ops/test_cugraph_relgraphconv.py::test_full_graph[basis-8-False] SKIPPED [ 66%] tests/cugraph/cugraph-ops/test_cugraph_relgraphconv.py::test_full_graph[basis-8-True] SKIPPED [ 73%] tests/cugraph/cugraph-ops/test_cugraph_relgraphconv.py::test_mfg[None-None] SKIPPED [ 80%] tests/cugraph/cugraph-ops/test_cugraph_relgraphconv.py::test_mfg[None-8] SKIPPED [ 86%] tests/cugraph/cugraph-ops/test_cugraph_relgraphconv.py::test_mfg[basis-None] SKIPPED [ 93%] tests/cugraph/cugraph-ops/test_cugraph_relgraphconv.py::test_mfg[basis-8] SKIPPED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1817 /root/jenkins/workspace/dgl_PR-4483/python/dgl/backend/backend.py:1817: DeprecationWarning: invalid escape sequence \P """Segment reduction operator. -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4483/pytest_cugraph.xml -- ============================= slowest 20 durations ============================= 12.77s call tests/cugraph/test_basics.py::test_to_cugraph_conversion 0.05s call tests/cugraph/test_basics.py::test_from_cugraph_conversion (18 durations < 0.005s hidden. Use -vv to show these durations.) ================== 3 passed, 12 skipped, 1 warning in 19.49s =================== [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 5ad467c41904ba91ab43ba951ea86e8f71bb8bea76bc597bc504e803d750008e $ docker rm -f 5ad467c41904ba91ab43ba951ea86e8f71bb8bea76bc597bc504e803d750008e [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] [Pipeline] // stage [Pipeline] } PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] Client [1126] waits on 172.17.0.9:59505 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:57:35] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 22 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.480 GB part 0 has 502 nodes of type game and 490 are inside the partition part 0 has 261 nodes of type user and 251 are inside the partition part 0 has 508 edges of type ('user', 'buys', 'game') and 496 are inside the partition part 1 has 520 nodes of type game and 510 are inside the partition part 1 has 261 nodes of type user and 249 are inside the partition part 1 has 514 edges of type ('user', 'buys', 'game') and 504 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.480 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] load test_sampling start graph service on server 0 for part 0 [05:57:36] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:36] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:10976]... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] load test_sampling start graph service on server 1 for part 1 [05:57:37] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:37] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:10978]... [05:57:37] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:37] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype0] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype1] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype0] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype1] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id SKIPPED (NCCL only runs on ...) [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_support SKIPPED (NCCL only run...) [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] PASSED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] SKIPPED [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype0] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype1] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_batched_heterograph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_subgraph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype0] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype1] SKIPPED [ 13%] tests/compute/test_pin_memory.py::test_pin_unpin SKIPPED (Need gpu f...) [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype1] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] PASSED [ 13%] tests/compute/test_random.py::test_random_choice PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype1] PASSED [ 15%]PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype0] PASSED [ 18%]PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] tests/compute/test_readout.py::test_softmax[g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g3-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype1] PASSED [ 19%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] SKIPPED [ 19%] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec PASSED [ 20%] tests/compute/test_sampling.py::test_pack_traces PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_mask PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] Client [1126] waits on 172.17.0.9:38615 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] Server (1) shutdown. Server (0) shutdown.Server is exiting... Server is exiting... Done sampling PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] PASSED [ 13%] tests/distributed/test_distributed_sampling.py::test_standalone_sampling NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.024 seconds, peak memory: 1.480 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 13%] tests/distributed/test_distributed_sampling.py::test_rpc_in_subgraph NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:57:41] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 2 parts and get 260 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.480 GB part 0 has 1512 nodes and 1354 are inside the partition part 0 has 5630 edges and 5370 are inside the partition part 1 has 1552 nodes and 1354 are inside the partition part 1 has 5446 edges and 5186 are inside the partition Save partitions: 0.014 seconds, peak memory: 1.480 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] load test_in_subgraph start graph service on server 0 for part 0 [05:57:42] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:42] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17623]... PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 21%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 21%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 21%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_heterograph PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-False] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-True] load test_in_subgraph [05:57:43] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:43] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. start graph service on server 1 for part 1 [05:57:43] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:43] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17625]... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-False] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-True] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_restricted_formats PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_graph PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] Client [1126] waits on 172.17.0.9:50443 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 14%] tests/distributed/test_distributed_sampling.py::test_standalone_etype_sampling NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.002 seconds, peak memory: 1.480 GB There are 21112 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.025 seconds, peak memory: 1.480 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... PASSED [ 15%] tests/distributed/test_mp_dataloader.py::test_standalone NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Save partitions: 0.019 seconds, peak memory: 1.480 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Client[-1] in group[-1] is exiting... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] PASSED [ 16%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-0-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:57:50] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.480 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.016 seconds, peak memory: 1.480 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g0] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [05:57:51] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:51] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:23746]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [05:57:52] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:52] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:23749]... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [05:57:53] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:53] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:23752]... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] [05:57:54] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:54] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] Client [2004] waits on 172.17.0.9:49099 Machine (0) group (0) client (0) connect to server successfuly! NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] Client[0] in group[0] is exiting... Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] PASSED [ 17%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-4-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:57:58] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.480 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.018 seconds, peak memory: 1.480 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [05:57:59] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:57:59] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17223]... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [05:58:00] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:00] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17226]... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [05:58:01] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:01] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17229]... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] [05:58:02] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:02] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] [05:58:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [05:58:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [05:58:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [05:58:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] Client [2038] waits on 172.17.0.9:45123 Client [2034] waits on 172.17.0.9:45031 Client [2039] waits on 172.17.0.9:54269 Client [2041] waits on 172.17.0.9:34265 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Client [2040] waits on 172.17.0.9:39475 Machine (0) group (0) client (1) connect to server successfuly! NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Client[2] in group[0] is exiting... Client[3] in group[0] is exiting... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] Client[4] in group[0] is exiting... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] Client[1] in group[0] is exiting... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] Client[0] in group[0] is exiting... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g0] PASSED [ 17%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-0-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:58:10] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.480 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.018 seconds, peak memory: 1.480 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] server: #clients=1 load test_sampling PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] start graph service on server 0 for part 0 [05:58:11] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:11] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:24719]... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype0-0.001-0.5-idtype0] SKIPPED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype0-0.001-0.5-idtype1] SKIPPED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype1-0.004-2.0-idtype0] SKIPPED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype1-0.004-2.0-idtype1] SKIPPED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g1] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [05:58:12] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:12] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:24722]... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g0] PASSED [ 42%]PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g1] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g0] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [05:58:13] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:13] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:24725]... PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g1] [05:58:14] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:14] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g1] PASSED [ 50%]PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] Client [2140] waits on 172.17.0.9:35817 Machine (0) group (0) client (0) connect to server successfuly! NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g0] PASSED [ 18%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-4-3] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g0] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:58:19] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.480 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.017 seconds, peak memory: 1.480 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [05:58:20] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:20] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:29309]... PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [05:58:21] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:21] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:29312]... PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g0] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [05:58:22] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:22] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:29315]... PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g1] PASSED [ 77%]PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g0] [05:58:23] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:23] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] [05:58:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [05:58:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] [05:58:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [05:58:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 88%]PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-8] SKIPPED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-8] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-16] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-64] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-256] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-8] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-16] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-64] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-256] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 94%] tests/compute/test_sparse.py::test_use_libxsmm_switch PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] Client [2170] waits on 172.17.0.9:49679 Client [2177] waits on 172.17.0.9:55299 Client [2175] waits on 172.17.0.9:57073 Client [2176] waits on 172.17.0.9:47751 Client [2174] waits on 172.17.0.9:55551 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly!Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Client[1] in group[0] is exiting... Client[3] in group[0] is exiting... PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] Client[4] in group[0] is exiting... PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing Client[0] in group[0] is exiting... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device1] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected PASSED [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_adj PASSED [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max Client[2] in group[0] is exiting... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 96%] tests/compute/test_transform.py::test_partition_with_halo PASSED [ 96%] tests/compute/test_transform.py::test_metis_partition[idtype0] SKIPPED [ 96%] tests/compute/test_transform.py::test_metis_partition[idtype1] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 19%] tests/distributed/test_mp_dataloader.py::test_dataloader[node-0-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.480 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.480 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.480 GB [05:58:31] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.480 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.480 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.480 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.018 seconds, peak memory: 1.480 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_drop_node[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_shortest_dist[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_shortest_dist[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_to_levi[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_to_levi[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] ============================== warnings summary =============================== tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_serialize.py: 10 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 10 warnings tests/compute/test_traversal.py: 2 warnings C:\Jenkins\workspace\dgl_PR-4483\python\dgl\heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py::test_update_all_0deg[idtype0] tests/compute/test_basics.py::test_update_all_0deg[idtype1] tests/compute/test_basics.py::test_pull_0deg[idtype0] tests/compute/test_basics.py::test_pull_0deg[idtype1] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] C:\Jenkins\workspace\dgl_PR-4483\python\dgl\core.py:85: DGLWarning: The input graph for the user-defined edge function does not contain valid edges "The input graph for the user-defined edge function " tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] C:\Jenkins\workspace\dgl_PR-4483\python\dgl\heterograph_index.py:858: FutureWarning: Adjacency matrix by default currently returns edge IDs. As a result there is one 0 entry which is not eliminated. In the next release it will return 1s by default, and 0 will be eliminated otherwise. FutureWarning, tests/compute/test_csrmm.py: 68 warnings tests/compute/test_data.py: 17 warnings tests/compute/test_heterograph.py: 8 warnings tests/compute/test_transform.py: 9 warnings c:\program files\python36\lib\site-packages\numpy\matrixlib\defmatrix.py:69: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. return matrix(data, dtype=dtype, copy=False) tests/compute/test_data.py::test_citation_graph c:\program files\python36\lib\site-packages\scipy\sparse\lil.py:512: FutureWarning: future versions will not create a writeable array from broadcast_array. Set the writable flag explicitly to avoid this warning. if not i.flags.writeable or i.dtype not in (np.int32, np.int64): tests/compute/test_data.py::test_citation_graph c:\program files\python36\lib\site-packages\scipy\sparse\lil.py:514: FutureWarning: future versions will not create a writeable array from broadcast_array. Set the writable flag explicitly to avoid this warning. if not j.flags.writeable or j.dtype not in (np.int32, np.int64): tests/compute/test_data.py::test_citation_graph tests/compute/test_data.py::test_citation_graph tests/compute/test_data.py::test_citation_graph tests/compute/test_data.py::test_citation_graph tests/compute/test_data.py::test_citation_graph tests/compute/test_data.py::test_citation_graph tests/compute/test_data.py::test_citation_graph tests/compute/test_data.py::test_citation_graph c:\program files\python36\lib\site-packages\scipy\sparse\lil.py:356: DeprecationWarning: Numpy has detected that you (may be) writing to an array with overlapping memory from np.broadcast_arrays. If this is intentional set the WRITEABLE flag True or make a copy immediately before writing. i, j, x) tests/compute/test_data.py::test_citation_graph C:\Jenkins\workspace\dgl_PR-4483\python\dgl\data\citation_graph.py:262: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset c:\program files\python36\lib\site-packages\numpy\lib\arraysetops.py:576: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison mask &= (ar1 != a) tests/compute/test_data.py::test_csvdataset C:\Jenkins\workspace\dgl_PR-4483\python\dgl\data\csv_dataset_base.py:379: DGLWarning: Unamed column is found. Ignored... dgl_warning("Unamed column is found. Ignored...") tests/compute/test_data.py::test_as_nodepred_ogb tests/compute/test_data.py::test_as_nodepred_ogb c:\program files\python36\lib\importlib\_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject return f(*args, **kwds) tests/compute/test_graph.py::test_query C:\Jenkins\workspace\dgl_PR-4483\python\dgl\heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py: 20 warnings C:\Jenkins\workspace\dgl_PR-4483\tests\compute\test_heterograph.py:1128: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(src_i)) == nid[src[i]] tests/compute/test_heterograph.py: 20 warnings C:\Jenkins\workspace\dgl_PR-4483\tests\compute\test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] C:\Jenkins\workspace\dgl_PR-4483\python\dgl\backend\pytorch\tensor.py:498: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the gradient for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more information. return x.grad tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] C:\Jenkins\workspace\dgl_PR-4483\python\dgl\_ffi\_ctypes\function.py:139: ComplexWarning: Casting complex values to real discards the imaginary part values[i].v_float64 = arg tests/compute/test_serialize.py: 10 warnings tests/compute/test_transform.py: 1 warning C:\Jenkins\workspace\dgl_PR-4483\python\dgl\heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 C:\Jenkins\workspace\dgl_PR-4483\python\dgl\data\graph_serialize.py:196: DGLWarning: You are loading a graph file saved by old version of dgl. Please consider saving it again with the current format. Please consider saving it again with the current format." tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] C:\Jenkins\workspace\dgl_PR-4483\python\dgl\transforms\functional.py:1263: DGLWarning: share_ndata argument has been renamed to copy_ndata. dgl_warning('share_ndata argument has been renamed to copy_ndata.') tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] C:\Jenkins\workspace\dgl_PR-4483\python\dgl\transforms\functional.py:1266: DGLWarning: share_edata argument has been renamed to copy_edata. dgl_warning('share_edata argument has been renamed to copy_edata.')PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] tests/compute/test_transform.py::test_simple_graph C:\Jenkins\workspace\dgl_PR-4483\python\dgl\transforms\functional.py:1315: DGLWarning: dgl.to_simple_graph is renamed to dgl.to_simple in v0.5. dgl_warning('dgl.to_simple_graph is renamed to dgl.to_simple in v0.5.') tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] C:\Jenkins\workspace\dgl_PR-4483\python\dgl\backend\pytorch\tensor.py:52: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:180.) return th.as_tensor(data, dtype=dtype) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html --- generated xml file: C:\Jenkins\workspace\dgl_PR-4483\pytest_compute.xml --- ============================ slowest 100 durations ============================ 208.93s call tests/compute/test_data.py::test_reddit 128.85s call tests/compute/test_data.py::test_fakenews 81.32s call tests/compute/test_data.py::test_gin 62.50s call tests/compute/test_data.py::test_as_graphpred_ogb 46.95s call tests/compute/test_data.py::test_as_graphpred 25.09s call tests/compute/test_data.py::test_tudataset_regression 20.28s call tests/compute/test_data.py::test_as_graphpred_reprocess 19.86s call tests/compute/test_data.py::test_gnn_benchmark 18.75s call tests/compute/test_kernel.py::test_all_binary_builtins 16.75s call tests/compute/test_data.py::test_as_linkpred_ogb 9.56s call tests/compute/test_data.py::test_as_nodepred_ogb 7.97s call tests/compute/test_data.py::test_wiki_cs 7.95s call tests/compute/test_data.py::test_fraud 5.16s call tests/compute/test_data.py::test_citation_graph 5.13s call tests/compute/test_data.py::test_flickr 4.24s call tests/compute/test_data.py::test_add_nodepred_split 3.39s call tests/compute/test_data.py::test_explain_syn 1.50s call tests/compute/test_heterograph.py::test_forking_pickler 1.48s call tests/compute/test_shared_mem.py::test_multi_process[idtype0] 1.47s call tests/compute/test_shared_mem.py::test_multi_process[idtype1] 1.12s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] 1.10s call tests/compute/test_transform.py::test_reorder_nodes 1.06s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] 0.72s call tests/compute/test_data.py::test_csvdataset 0.68s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 0.66s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 0.64s call tests/compute/test_graph.py::test_query 0.59s call tests/compute/test_kernel.py::test_copy_src_reduce 0.58s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.54s call tests/compute/test_data.py::test_as_nodepred2 0.51s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-False] 0.49s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-False] 0.48s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-True] 0.48s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-True] 0.41s call tests/compute/test_heterograph.py::test_remove_nodes[idtype1] 0.39s call tests/compute/test_heterograph.py::test_query[idtype0] 0.37s call tests/compute/test_heterograph.py::test_query[idtype1] 0.33s call tests/compute/test_data.py::test_as_nodepred1 0.30s call tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] 0.27s call tests/compute/test_data.py::test_as_linkpred 0.26s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.24s call tests/compute/test_heterograph.py::test_updates[idtype0] 0.23s call tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] 0.23s call tests/compute/test_basics.py::test_update_routines[idtype0] 0.23s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.19s call tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite 0.19s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.18s call tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] 0.18s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.18s call tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] 0.18s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.18s call tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous 0.18s call tests/compute/test_heterograph.py::test_level2[idtype1] 0.16s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.16s call tests/compute/test_sampling.py::test_sample_neighbors_mask 0.16s call tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-256] 0.16s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.16s call tests/compute/test_sort.py::test_sort_with_tag[idtype1] 0.16s call tests/compute/test_heterograph.py::test_level2[idtype0] 0.15s call tests/compute/test_basics.py::test_pull_0deg[idtype0] 0.15s call tests/compute/test_sort.py::test_sort_with_tag[idtype0] 0.15s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 0.15s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.15s call tests/compute/test_basics.py::test_update_routines[idtype1] 0.15s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 0.14s call tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype1] 0.14s call tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype0] 0.14s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] 0.14s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] 0.13s call tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] 0.12s call tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype0] 0.12s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.12s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 0.12s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] 0.12s call tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] 0.12s call tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] 0.12s call tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] 0.12s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] 0.12s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] 0.12s call tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] 0.12s call tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype1] 0.12s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] 0.11s call tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] 0.11s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-False] 0.11s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-False] 0.10s call tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype0] 0.10s call tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype0] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-True] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-False] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-False] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-True] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-False] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-True] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-True] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-True] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] 0.10s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] ========= 2393 passed, 80 skipped, 264 warnings in 750.96s (0:12:30) ========== PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [05:58:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19115]... [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU (Win64) Example test) [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Fetching changes from the remote Git repository Cleaning workspace PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [05:58:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19118]... > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4483\.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [05:58:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19121]... Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] [05:58:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] Commit message: "revert the test code being reverted in #4956" Cleaning workspace PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4483>git submodule update --recursive --init PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype0] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype1] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype0] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype1] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id SKIPPED (NCCL only runs on ...) [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_support SKIPPED (NCCL only run...) [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] PASSED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] SKIPPED [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g0-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype0] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-idtype1] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype0] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_graph[g12-idtype1] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_batched_heterograph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_subgraph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype0] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[idtype1] SKIPPED [ 13%] tests/compute/test_pin_memory.py::test_pin_unpin SKIPPED (Need gpu f...) [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[idtype1] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] PASSED [ 13%] tests/compute/test_random.py::test_random_choice PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-idtype1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-idtype1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g6-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-idtype1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-idtype1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype0] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-idtype1] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g3-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-idtype1] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype0] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[idtype1] PASSED [ 19%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] SKIPPED [ 19%] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec PASSED [ 20%] tests/compute/test_sampling.py::test_pack_traces PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_mask PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] Client [2276] waits on 172.17.0.9:35613 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g0] [Pipeline] unstash PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] [Pipeline] echo Unpacked build\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll from dgl-cpu-win64 [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { [Pipeline] bat PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4483>CALL tests\scripts\task_example_test.bat cpu PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 21%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 21%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 21%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_heterograph PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] PASSED [ 21%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-True] C:\Jenkins\workspace\dgl_PR-4483\python\dgl\heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tensor([0.0050, 0.0079, 0.0095, 0.0098, 0.0094, 0.0099, 0.0083, 0.0068, 0.0112, 0.0095, 0.0064, 0.0124, 0.0064, 0.0062, 0.0063, 0.0050, 0.0111, 0.0126, 0.0080, 0.0110, 0.0062, 0.0050, 0.0080, 0.0095, 0.0063, 0.0100, 0.0082, 0.0114, 0.0096, 0.0085, 0.0096, 0.0181, 0.0078, 0.0146, 0.0113, 0.0062, 0.0048, 0.0146, 0.0088, 0.0065, 0.0082, 0.0157, 0.0095, 0.0197, 0.0110, 0.0129, 0.0161, 0.0062, 0.0082, 0.0095, 0.0131, 0.0174, 0.0115, 0.0102, 0.0079, 0.0143, 0.0130, 0.0127, 0.0110, 0.0068, 0.0114, 0.0130, 0.0123, 0.0158, 0.0066, 0.0084, 0.0049, 0.0113, 0.0081, 0.0129, 0.0035, 0.0145, 0.0082, 0.0095, 0.0098, 0.0100, 0.0100, 0.0035, 0.0149, 0.0129, 0.0015, 0.0080, 0.0049, 0.0063, 0.0168, 0.0079, 0.0095, 0.0110, 0.0130, 0.0144, 0.0082, 0.0133, 0.0069, 0.0104, 0.0131, 0.0103, 0.0099, 0.0101, 0.0153, 0.0065]) PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[coo-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csr-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[csc-False] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-True] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-False] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats4-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-True] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats5-False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-True] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g0] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-False] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g0] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_restricted_formats PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_graph PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[idtype1] PASSED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] PASSED [ 23%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] Training with DGL built-in GraphConv module. Downloading C:\Jenkins\workspace\dgl_PR-4483\cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to C:\Jenkins\workspace\dgl_PR-4483\cora_v2 Finished data loading and preprocessing. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done saving data into cached files. Training... Epoch 00000 | Loss 1.9458 | Accuracy 0.1280 Epoch 00001 | Loss 1.9401 | Accuracy 0.1280 Epoch 00002 | Loss 1.9349 | Accuracy 0.2780 Epoch 00003 | Loss 1.9263 | Accuracy 0.4120 Epoch 00004 | Loss 1.9175 | Accuracy 0.4860 Epoch 00005 | Loss 1.9072 | Accuracy 0.4540 Epoch 00006 | Loss 1.8974 | Accuracy 0.4720 Epoch 00007 | Loss 1.8849 | Accuracy 0.4940 Epoch 00008 | Loss 1.8749 | Accuracy 0.5260 Epoch 00009 | Loss 1.8656 | Accuracy 0.5480 Epoch 00010 | Loss 1.8505 | Accuracy 0.5720 Epoch 00011 | Loss 1.8298 | Accuracy 0.6020 Epoch 00012 | Loss 1.8230 | Accuracy 0.6180 Epoch 00013 | Loss 1.8068 | Accuracy 0.6360 Epoch 00014 | Loss 1.7938 | Accuracy 0.6480 Epoch 00015 | Loss 1.7849 | Accuracy 0.6660 Epoch 00016 | Loss 1.7679 | Accuracy 0.6860 Epoch 00017 | Loss 1.7487 | Accuracy 0.6940 Epoch 00018 | Loss 1.7263 | Accuracy 0.6960 Epoch 00019 | Loss 1.7099 | Accuracy 0.7000 Epoch 00020 | Loss 1.6932 | Accuracy 0.7120 Epoch 00021 | Loss 1.6606 | Accuracy 0.7080 Epoch 00022 | Loss 1.6529 | Accuracy 0.7140 Epoch 00023 | Loss 1.6374 | Accuracy 0.7120 Epoch 00024 | Loss 1.6054 | Accuracy 0.7100 Epoch 00025 | Loss 1.5902 | Accuracy 0.7100 Epoch 00026 | Loss 1.5978 | Accuracy 0.7100 Epoch 00027 | Loss 1.5626 | Accuracy 0.7060 Epoch 00028 | Loss 1.5567 | Accuracy 0.7120 Epoch 00029 | Loss 1.4733 | Accuracy 0.7140 Epoch 00030 | Loss 1.5041 | Accuracy 0.7160 Epoch 00031 | Loss 1.5014 | Accuracy 0.7220 Epoch 00032 | Loss 1.4505 | Accuracy 0.7300 Epoch 00033 | Loss 1.4250 | Accuracy 0.7360 Epoch 00034 | Loss 1.3989 | Accuracy 0.7380 Epoch 00035 | Loss 1.4149 | Accuracy 0.7440 Epoch 00036 | Loss 1.3699 | Accuracy 0.7420 Epoch 00037 | Loss 1.3359 | Accuracy 0.7440 Epoch 00038 | Loss 1.3058 | Accuracy 0.7500 Epoch 00039 | Loss 1.3015 | Accuracy 0.7560 Epoch 00040 | Loss 1.2671 | Accuracy 0.7580 Epoch 00041 | Loss 1.2469 | Accuracy 0.7580 Epoch 00042 | Loss 1.2266 | Accuracy 0.7560 Epoch 00043 | Loss 1.2185 | Accuracy 0.7540 Epoch 00044 | Loss 1.1896 | Accuracy 0.7600 Epoch 00045 | Loss 1.1861 | Accuracy 0.7620 Epoch 00046 | Loss 1.1380 | Accuracy 0.7620 Epoch 00047 | Loss 1.1304 | Accuracy 0.7580 Epoch 00048 | Loss 1.0789 | Accuracy 0.7580 Epoch 00049 | Loss 1.0832 | Accuracy 0.7560 Epoch 00050 | Loss 1.0512 | Accuracy 0.7560 Epoch 00051 | Loss 1.0097 | Accuracy 0.7540 Epoch 00052 | Loss 1.0222 | Accuracy 0.7620 Epoch 00053 | Loss 0.9951 | Accuracy 0.7680 Epoch 00054 | Loss 1.0151 | Accuracy 0.7700 Epoch 00055 | Loss 0.9821 | Accuracy 0.7680 Epoch 00056 | Loss 0.9438 | Accuracy 0.7720 Epoch 00057 | Loss 0.9243 | Accuracy 0.7780 Epoch 00058 | Loss 0.9427 | Accuracy 0.7740 Epoch 00059 | Loss 0.8896 | Accuracy 0.7780 Epoch 00060 | Loss 0.8841 | Accuracy 0.7760 Epoch 00061 | Loss 0.8525 | Accuracy 0.7760 Epoch 00062 | Loss 0.8710 | Accuracy 0.7780 Epoch 00063 | Loss 0.8226 | Accuracy 0.7800 Epoch 00064 | Loss 0.8252 | Accuracy 0.7780 Epoch 00065 | Loss 0.8382 | Accuracy 0.7820 Epoch 00066 | Loss 0.7932 | Accuracy 0.7800 Epoch 00067 | Loss 0.7696 | Accuracy 0.7840 Epoch 00068 | Loss 0.7995 | Accuracy 0.7820 Epoch 00069 | Loss 0.7825 | Accuracy 0.7820 Epoch 00070 | Loss 0.7519 | Accuracy 0.7840 Epoch 00071 | Loss 0.7317 | Accuracy 0.7820 Epoch 00072 | Loss 0.7095 | Accuracy 0.7840 Epoch 00073 | Loss 0.6973 | Accuracy 0.7860 Epoch 00074 | Loss 0.7148 | Accuracy 0.7860 Epoch 00075 | Loss 0.7013 | Accuracy 0.7860 Epoch 00076 | Loss 0.7053 | Accuracy 0.7840 Epoch 00077 | Loss 0.6737 | Accuracy 0.7860 Epoch 00078 | Loss 0.7274 | Accuracy 0.7860 Epoch 00079 | Loss 0.6904 | Accuracy 0.7840 Epoch 00080 | Loss 0.6377 | Accuracy 0.7860 Epoch 00081 | Loss 0.6544 | Accuracy 0.7880 Epoch 00082 | Loss 0.6326 | Accuracy 0.7880 Epoch 00083 | Loss 0.6332 | Accuracy 0.7860 Epoch 00084 | Loss 0.6777 | Accuracy 0.7880 Epoch 00085 | Loss 0.5957 | Accuracy 0.7820 Epoch 00086 | Loss 0.6367 | Accuracy 0.7800 Epoch 00087 | Loss 0.5583 | Accuracy 0.7820 Epoch 00088 | Loss 0.5909 | Accuracy 0.7860 Epoch 00089 | Loss 0.6166 | Accuracy 0.7860 Epoch 00090 | Loss 0.6205 | Accuracy 0.7840 Epoch 00091 | Loss 0.5391 | Accuracy 0.7840 Epoch 00092 | Loss 0.5252 | Accuracy 0.7840 Epoch 00093 | Loss 0.5668 | Accuracy 0.7880 Epoch 00094 | Loss 0.5347 | Accuracy 0.7900 Epoch 00095 | Loss 0.5470 | Accuracy 0.7900 Epoch 00096 | Loss 0.5228 | Accuracy 0.7920 Epoch 00097 | Loss 0.5271 | Accuracy 0.7940 Epoch 00098 | Loss 0.5063 | Accuracy 0.7940 Epoch 00099 | Loss 0.5108 | Accuracy 0.7940 Epoch 00100 | Loss 0.5084 | Accuracy 0.7900 Epoch 00101 | Loss 0.5299 | Accuracy 0.7840 Epoch 00102 | Loss 0.5245 | Accuracy 0.7840 Epoch 00103 | Loss 0.5507 | Accuracy 0.7820 Epoch 00104 | Loss 0.4708 | Accuracy 0.7820 Epoch 00105 | Loss 0.5224 | Accuracy 0.7860 Epoch 00106 | Loss 0.5213 | Accuracy 0.7860 Epoch 00107 | Loss 0.4604 | Accuracy 0.7940 Epoch 00108 | Loss 0.4627 | Accuracy 0.7940 Epoch 00109 | Loss 0.4938 | Accuracy 0.7920 Epoch 00110 | Loss 0.4805 | Accuracy 0.7880 Epoch 00111 | Loss 0.4981 | Accuracy 0.7880 Epoch 00112 | Loss 0.5234 | Accuracy 0.7880 Epoch 00113 | Loss 0.4517 | Accuracy 0.7840 Epoch 00114 | Loss 0.4534 | Accuracy 0.7840 Epoch 00115 | Loss 0.4596 | Accuracy 0.7860 Epoch 00116 | Loss 0.4303 | Accuracy 0.7860 Epoch 00117 | Loss 0.4275 | Accuracy 0.7920 Epoch 00118 | Loss 0.4198 | Accuracy 0.7940 Epoch 00119 | Loss 0.4244 | Accuracy 0.7960 Epoch 00120 | Loss 0.4504 | Accuracy 0.7980 Epoch 00121 | Loss 0.4145 | Accuracy 0.7940 Epoch 00122 | Loss 0.4605 | Accuracy 0.7920 Epoch 00123 | Loss 0.4440 | Accuracy 0.7940 Epoch 00124 | Loss 0.4592 | Accuracy 0.7940 Epoch 00125 | Loss 0.4371 | Accuracy 0.7940 Epoch 00126 | Loss 0.4070 | Accuracy 0.7940 Epoch 00127 | Loss 0.4042 | Accuracy 0.7960 Epoch 00128 | Loss 0.4514 | Accuracy 0.7960 Epoch 00129 | Loss 0.4373 | Accuracy 0.8000 Epoch 00130 | Loss 0.4131 | Accuracy 0.7980 Epoch 00131 | Loss 0.4233 | Accuracy 0.7980 Epoch 00132 | Loss 0.4224 | Accuracy 0.7920 Epoch 00133 | Loss 0.4168 | Accuracy 0.7920 Epoch 00134 | Loss 0.3854 | Accuracy 0.7940 Epoch 00135 | Loss 0.4215 | Accuracy 0.7960 Epoch 00136 | Loss 0.4115 | Accuracy 0.7940 Epoch 00137 | Loss 0.4090 | Accuracy 0.7920 Epoch 00138 | Loss 0.4166 | Accuracy 0.7920 Epoch 00139 | Loss 0.3498 | Accuracy 0.7960 Epoch 00140 | Loss 0.4162 | Accuracy 0.7960 Epoch 00141 | Loss 0.3742 | Accuracy 0.7960 Epoch 00142 | Loss 0.3908 | Accuracy 0.7940 Epoch 00143 | Loss 0.3739 | Accuracy 0.8000 Epoch 00144 | Loss 0.3641 | Accuracy 0.7980 Epoch 00145 | Loss 0.4045 | Accuracy 0.8000 Epoch 00146 | Loss 0.3925 | Accuracy 0.7960 Epoch 00147 | Loss 0.3857 | Accuracy 0.7940 Epoch 00148 | Loss 0.3935 | Accuracy 0.7940 Epoch 00149 | Loss 0.3723 | Accuracy 0.7920 Epoch 00150 | Loss 0.3777 | Accuracy 0.7860 Epoch 00151 | Loss 0.4116 | Accuracy 0.7860 Epoch 00152 | Loss 0.3710 | Accuracy 0.7880 Epoch 00153 | Loss 0.3800 | Accuracy 0.7940 Epoch 00154 | Loss 0.3637 | Accuracy 0.8000 Epoch 00155 | Loss 0.3628 | Accuracy 0.8020 Epoch 00156 | Loss 0.3534 | Accuracy 0.7980 Epoch 00157 | Loss 0.3634 | Accuracy 0.7960 Epoch 00158 | Loss 0.3730 | Accuracy 0.7960 Epoch 00159 | Loss 0.3551 | Accuracy 0.7940 Epoch 00160 | Loss 0.3507 | Accuracy 0.7940 Epoch 00161 | Loss 0.3713 | Accuracy 0.7940 Epoch 00162 | Loss 0.3192 | Accuracy 0.7900 Epoch 00163 | Loss 0.3995 | Accuracy 0.7880 Epoch 00164 | Loss 0.3550 | Accuracy 0.7900 Epoch 00165 | Loss 0.3520 | Accuracy 0.7900 Epoch 00166 | Loss 0.3571 | Accuracy 0.7940 Epoch 00167 | Loss 0.3362 | Accuracy 0.7920 Epoch 00168 | Loss 0.3290 | Accuracy 0.7940 c:\program files\python36\lib\site-packages\scipy\sparse\lil.py:512: FutureWarning: future versions will not create a writeable array from broadcast_array. Set the writable flag explicitly to avoid this warning. if not i.flags.writeable or i.dtype not in (np.int32, np.int64): c:\program files\python36\lib\site-packages\scipy\sparse\lil.py:514: FutureWarning: future versions will not create a writeable array from broadcast_array. Set the writable flag explicitly to avoid this warning. if not j.flags.writeable or j.dtype not in (np.int32, np.int64): Epoch 00169 | Loss 0.3176 | Accuracy 0.7960 Epoch 00170 | Loss 0.3252 | Accuracy 0.7960 Epoch 00171 | Loss 0.3379 | Accuracy 0.7940 Epoch 00172 | Loss 0.3632 | Accuracy 0.7940 Epoch 00173 | Loss 0.3561 | Accuracy 0.7920 Epoch 00174 | Loss 0.3466 | Accuracy 0.7920 Epoch 00175 | Loss 0.3449 | Accuracy 0.7940 Epoch 00176 | Loss 0.3309 | Accuracy 0.7900 Epoch 00177 | Loss 0.3359 | Accuracy 0.7960 Epoch 00178 | Loss 0.3183 | Accuracy 0.7980 Epoch 00179 | Loss 0.3318 | Accuracy 0.8000 Epoch 00180 | Loss 0.3109 | Accuracy 0.8000 Epoch 00181 | Loss 0.3234 | Accuracy 0.7980 Epoch 00182 | Loss 0.2880 | Accuracy 0.7940 Epoch 00183 | Loss 0.3086 | Accuracy 0.7900 Epoch 00184 | Loss 0.3028 | Accuracy 0.7920 Epoch 00185 | Loss 0.3038 | Accuracy 0.7920 Epoch 00186 | Loss 0.3424 | Accuracy 0.7860 Epoch 00187 | Loss 0.3164 | Accuracy 0.7880 Epoch 00188 | Loss 0.3100 | Accuracy 0.7860 Epoch 00189 | Loss 0.3236 | Accuracy 0.7940 Epoch 00190 | Loss 0.3170 | Accuracy 0.7960 Epoch 00191 | Loss 0.3004 | Accuracy 0.8000 Epoch 00192 | Loss 0.3586 | Accuracy 0.8100 Epoch 00193 | Loss 0.3250 | Accuracy 0.8080 Epoch 00194 | Loss 0.3620 | Accuracy 0.8040 Epoch 00195 | Loss 0.3072 | Accuracy 0.8020 Epoch 00196 | Loss 0.3260 | Accuracy 0.8000 Epoch 00197 | Loss 0.3159 | Accuracy 0.7960 Epoch 00198 | Loss 0.3205 | Accuracy 0.7980 Epoch 00199 | Loss 0.3031 | Accuracy 0.7860 Testing... Test accuracy 0.8060 PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] [Pipeline] } PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] [Pipeline] // timeout [Pipeline] } PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] Converting to homogeneous graph takes 0.008s, peak mem: 1.810 GB Convert a graph into a bidirected graph: 0.017 seconds, peak memory: 1.810 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.810 GB [05:58:54] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152549 edge cuts Metis partitioning: 0.188 seconds, peak memory: 1.810 GB Assigning nodes to METIS partitions takes 0.206s, peak mem: 1.810 GB Reshuffle nodes and edges: 0.022 seconds Split the graph: 0.055 seconds Construct subgraphs: 0.049 seconds Splitting the graph into partitions takes 0.126s, peak mem: 1.810 GB part 0 has 9947 nodes of type n1 and 3137 are inside the partition part 0 has 9943 nodes of type n2 and 3140 are inside the partition part 0 has 9977 nodes of type n3 and 3140 are inside the partition part 0 has 47270 edges of type ('n1', 'r1', 'n2') and 31146 are inside the partition part 0 has 47593 edges of type ('n1', 'r2', 'n3') and 31103 are inside the partition part 0 has 47367 edges of type ('n2', 'r3', 'n3') and 31130 are inside the partition part 1 has 9972 nodes of type n1 and 3431 are inside the partition part 1 has 9973 nodes of type n2 and 3434 are inside the partition part 1 has 9991 nodes of type n3 and 3440 are inside the partition part 1 has 51654 edges of type ('n1', 'r1', 'n2') and 34423 are inside the partition part 1 has 51785 edges of type ('n1', 'r2', 'n3') and 34398 are inside the partition part 1 has 52012 edges of type ('n2', 'r3', 'n3') and 34758 are inside the partition part 2 has 9967 nodes of type n1 and 3432 are inside the partition part 2 has 9982 nodes of type n2 and 3436 are inside the partition part 2 has 9999 nodes of type n3 and 3440 are inside the partition part 2 has 51810 edges of type ('n1', 'r1', 'n2') and 34531 are inside the partition part 2 has 51969 edges of type ('n1', 'r2', 'n3') and 34699 are inside the partition part 2 has 51689 edges of type ('n2', 'r3', 'n3') and 34412 are inside the partition Save partitions: 0.038 seconds, peak memory: 1.810 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=1 load test_sampling start graph service on server 0 for part 0 [05:58:55] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:55] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:10212]... server: #clients=1 load test_sampling start graph service on server 1 for part 1 [05:58:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:10215]... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [05:58:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:10218]... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] [05:58:58] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:58:58] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp4-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g0] Client [2314] waits on 172.17.0.9:54265 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g0] PASSED [ 20%] tests/distributed/test_mp_dataloader.py::test_dataloader[node-4-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.810 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.810 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.810 GB [05:59:02] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.810 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 1.810 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.810 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.018 seconds, peak memory: 1.810 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [05:59:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:15231]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] server: #clients=5 load test_sampling PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] start graph service on server 1 for part 1 [05:59:04] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:04] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:15234]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [05:59:05] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:05] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:15237]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] [05:59:06] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:06] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] [05:59:07] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:07] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [05:59:07] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:07] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [05:59:07] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:07] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g0] [05:59:07] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:07] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] Client [2350] waits on 172.17.0.9:37067 Client [2352] waits on 172.17.0.9:55473 Machine (0) group (0) client (0) connect to server successfuly! Client [2351] waits on 172.17.0.9:52497Client [2344] waits on 172.17.0.9:43413 Client [2353] waits on 172.17.0.9:39231 Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g0] Client[2] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g0] Client[3] in group[0] is exiting... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g0] Client[4] in group[0] is exiting... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g0] Client[1] in group[0] is exiting... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] Server (2) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] Converting to homogeneous graph takes 0.008s, peak mem: 1.810 GB Convert a graph into a bidirected graph: 0.017 seconds, peak memory: 1.810 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.810 GB [05:59:29] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 151883 edge cuts Metis partitioning: 0.187 seconds, peak memory: 1.810 GB Assigning nodes to METIS partitions takes 0.205s, peak mem: 1.810 GB Reshuffle nodes and edges: 0.021 seconds Split the graph: 0.058 seconds Construct subgraphs: 0.053 seconds Splitting the graph into partitions takes 0.132s, peak mem: 1.810 GB part 0 has 9942 nodes of type n1 and 3137 are inside the partition part 0 has 9970 nodes of type n2 and 3138 are inside the partition part 0 has 9963 nodes of type n3 and 3140 are inside the partition part 0 has 47577 edges of type ('n1', 'r1', 'n2') and 31278 are inside the partition part 0 has 47652 edges of type ('n1', 'r2', 'n3') and 31446 are inside the partition part 0 has 47556 edges of type ('n2', 'r3', 'n3') and 31470 are inside the partition part 1 has 9984 nodes of type n1 and 3432 are inside the partition part 1 has 9976 nodes of type n2 and 3436 are inside the partition part 1 has 9994 nodes of type n3 and 3440 are inside the partition part 1 has 51235 edges of type ('n1', 'r1', 'n2') and 34199 are inside the partition part 1 has 51594 edges of type ('n1', 'r2', 'n3') and 34243 are inside the partition part 1 has 51705 edges of type ('n2', 'r3', 'n3') and 34285 are inside the partition part 2 has 9961 nodes of type n1 and 3431 are inside the partition part 2 has 9977 nodes of type n2 and 3436 are inside the partition part 2 has 9989 nodes of type n3 and 3440 are inside the partition part 2 has 51737 edges of type ('n1', 'r1', 'n2') and 34623 are inside the partition part 2 has 51821 edges of type ('n1', 'r2', 'n3') and 34511 are inside the partition part 2 has 51606 edges of type ('n2', 'r3', 'n3') and 34545 are inside the partition Save partitions: 0.037 seconds, peak memory: 1.810 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=5 load test_sampling start graph service on server 0 for part 0 [05:59:30] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:30] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:23848]... server: #clients=5 load test_sampling start graph service on server 1 for part 1 [05:59:31] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:31] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:23851]... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [05:59:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:23854]... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] [05:59:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] [[05:59:34] 05:59:34/root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc141:: Sender with NetType~141socket: is created.Sender with NetType~ socket is created. [05:59:34] [/root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc05:59:34:] 161/root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc: :Receiver with NetType~161socket: is created.Receiver with NetType~ socket is created. [05:59:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [05:59:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] Client [2468] waits on 172.17.0.9:45429 Client [2469] waits on 172.17.0.9:52615 Client [2460] waits on 172.17.0.9:52085 Client [2466] waits on 172.17.0.9:38265 Client [2467] waits on 172.17.0.9:50299 Machine (0) group (0) client (1) connect to server successfuly!Machine (0) group (0) client (4) connect to server successfuly!Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g1] Client[3] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] Client[2] in group[0] is exiting... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] Client[1] in group[0] is exiting... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] Client[4] in group[0] is exiting... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] Server (2) shutdown. Server is exiting... PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g0] PASSED [ 21%] tests/distributed/test_mp_dataloader.py::test_dataloader[edge-0-3] PASSED [ 28%] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.810 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.810 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.810 GB [05:59:42] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.810 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.810 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.810 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.018 seconds, peak memory: 1.810 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [05:59:43] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:43] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:21149]... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] server: #clients=1 load test_sampling PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] start graph service on server 1 for part 1 [05:59:44] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:44] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:21152]... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [05:59:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:21155]... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] [05:59:46] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [05:59:46] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] Client [2568] waits on 172.17.0.9:52259 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] Server (1) shutdown.Server (2) shutdown. Server is exiting... Server is exiting... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] Converting to homogeneous graph takes 0.008s, peak mem: 1.848 GB Convert a graph into a bidirected graph: 0.016 seconds, peak memory: 1.848 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.848 GB [06:00:06] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152330 edge cuts Metis partitioning: 0.186 seconds, peak memory: 1.848 GB Assigning nodes to METIS partitions takes 0.203s, peak mem: 1.848 GB Reshuffle nodes and edges: 0.016 seconds Split the graph: 0.047 seconds Construct subgraphs: 0.054 seconds Splitting the graph into partitions takes 0.117s, peak mem: 1.848 GB part 0 has 9960 nodes of type n1 and 3137 are inside the partition part 0 has 9969 nodes of type n2 and 3139 are inside the partition part 0 has 9969 nodes of type n3 and 3142 are inside the partition part 0 has 47460 edges of type ('n1', 'r1', 'n2') and 31365 are inside the partition part 0 has 47824 edges of type ('n1', 'r2', 'n3') and 31455 are inside the partition part 0 has 47642 edges of type ('n2', 'r3', 'n3') and 31362 are inside the partition part 1 has 9977 nodes of type n1 and 3431 are inside the partition part 1 has 9981 nodes of type n2 and 3435 are inside the partition part 1 has 9989 nodes of type n3 and 3438 are inside the partition part 1 has 51547 edges of type ('n1', 'r1', 'n2') and 34262 are inside the partition part 1 has 51884 edges of type ('n1', 'r2', 'n3') and 34544 are inside the partition part 1 has 51543 edges of type ('n2', 'r3', 'n3') and 34397 are inside the partition part 2 has 9977 nodes of type n1 and 3432 are inside the partition part 2 has 9984 nodes of type n2 and 3436 are inside the partition part 2 has 9987 nodes of type n3 and 3440 are inside the partition part 2 has 51547 edges of type ('n1', 'r1', 'n2') and 34473 are inside the partition part 2 has 51640 edges of type ('n1', 'r2', 'n3') and 34201 are inside the partition part 2 has 51843 edges of type ('n2', 'r3', 'n3') and 34541 are inside the partition Save partitions: 0.035 seconds, peak memory: 1.848 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [06:00:07] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:07] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19105]... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g0] server: #clients=1 load test_sampling PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] start graph service on server 1 for part 1 [06:00:08] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:08] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19108]... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [06:00:09] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:09] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19111]... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] [06:00:10] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:10] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] Client [2608] waits on 172.17.0.9:44963 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 21%] tests/distributed/test_mp_dataloader.py::test_dataloader[edge-4-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.848 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.848 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.848 GB [06:00:14] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.848 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.848 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.848 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.017 seconds, peak memory: 1.848 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [06:00:15] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:15] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:15094]... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] server: #clients=5 load test_sampling PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] start graph service on server 1 for part 1 [06:00:16] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:16] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:15097]... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [06:00:17] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:17] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:15100]... PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] [06:00:18] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:18] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] [06:00:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:00:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:00:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:00:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] Client [2644] waits on 172.17.0.9:57477 Client [2636] waits on 172.17.0.9:53417 Client [2643] waits on 172.17.0.9:40807 Client [2642] waits on 172.17.0.9:46419Client [2645] waits on 172.17.0.9:45525 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] Client[3] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] Client[0] in group[0] is exiting... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] Client[4] in group[0] is exiting... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] Client[1] in group[0] is exiting... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] Converting to homogeneous graph takes 0.015s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.017 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.852 GB [06:00:41] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 151830 edge cuts Metis partitioning: 0.199 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.218s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.022 seconds Split the graph: 0.065 seconds Construct subgraphs: 0.056 seconds Splitting the graph into partitions takes 0.144s, peak mem: 1.852 GB part 0 has 9947 nodes of type n1 and 3134 are inside the partition part 0 has 9951 nodes of type n2 and 3138 are inside the partition part 0 has 9980 nodes of type n3 and 3141 are inside the partition part 0 has 47516 edges of type ('n1', 'r1', 'n2') and 31263 are inside the partition part 0 has 47559 edges of type ('n1', 'r2', 'n3') and 31276 are inside the partition part 0 has 47474 edges of type ('n2', 'r3', 'n3') and 31239 are inside the partition part 1 has 9976 nodes of type n1 and 3433 are inside the partition part 1 has 9977 nodes of type n2 and 3436 are inside the partition part 1 has 9994 nodes of type n3 and 3439 are inside the partition part 1 has 51717 edges of type ('n1', 'r1', 'n2') and 34531 are inside the partition part 1 has 51813 edges of type ('n1', 'r2', 'n3') and 34503 are inside the partition part 1 has 51743 edges of type ('n2', 'r3', 'n3') and 34543 are inside the partition part 2 has 9968 nodes of type n1 and 3433 are inside the partition part 2 has 9974 nodes of type n2 and 3436 are inside the partition part 2 has 9996 nodes of type n3 and 3440 are inside the partition part 2 has 51251 edges of type ('n1', 'r1', 'n2') and 34306 are inside the partition part 2 has 51633 edges of type ('n1', 'r2', 'n3') and 34421 are inside the partition part 2 has 51724 edges of type ('n2', 'r3', 'n3') and 34518 are inside the partition Save partitions: 0.034 seconds, peak memory: 1.852 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=5 load test_sampling start graph service on server 0 for part 0 [06:00:43] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:43] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17055]... PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [06:00:44] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:44] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17058]... PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [06:00:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17061]... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] [06:00:46] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:46] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] [06:00:47] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:47] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:00:47] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:47] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:00:47] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:47] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:00:47] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:47] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g0] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] Client [2759] waits on 172.17.0.9:60005Client [2752] waits on 172.17.0.9:55489Client [2760] waits on 172.17.0.9:48027Client [2758] waits on 172.17.0.9:35595 Client [2761] waits on 172.17.0.9:60481 Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] Client[2] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] Client[3] in group[0] is exiting... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] Client[1] in group[0] is exiting... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g0] Client[4] in group[0] is exiting... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 22%] tests/distributed/test_mp_dataloader.py::test_neg_dataloader[0-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:00:54] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.016 seconds, peak memory: 1.852 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g0] server: #clients=1 PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-g1] load test_sampling start graph service on server 0 for part 0 [06:00:55] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:55] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:21029]... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g0] PASSED [ 37%]PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [06:00:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:21032]... PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [06:00:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:21035]... PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] [06:00:58] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:00:58] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype0-0.001-0.5-idtype0] SKIPPED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype0-0.001-0.5-idtype1] SKIPPED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype1-0.004-2.0-idtype0] SKIPPED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype1-0.004-2.0-idtype1] SKIPPED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g1] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g0] Client [2860] waits on 172.17.0.9:34091 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp5-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g0] Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g0] PASSED [ 39%]PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g1] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype0-0.001-0.5-idtype0] SKIPPED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype0-0.001-0.5-idtype1] SKIPPED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype1-0.004-2.0-idtype0] SKIPPED [ 40%] tests/compute/test_sparse.py::test_half_spmm[dtype1-0.004-2.0-idtype1] SKIPPED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g0] PASSED [ 41%]PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g0] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp0-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g0] PASSED [ 42%]PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g1] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g1] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g0] Converting to homogeneous graph takes 0.008s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.016 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.852 GB [06:01:18] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152517 edge cuts Metis partitioning: 0.209 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.227s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.022 seconds Split the graph: 0.058 seconds Construct subgraphs: 0.058 seconds Splitting the graph into partitions takes 0.139s, peak mem: 1.852 GB part 0 has 9947 nodes of type n1 and 3136 are inside the partition part 0 has 9972 nodes of type n2 and 3138 are inside the partition part 0 has 9980 nodes of type n3 and 3140 are inside the partition part 0 has 47506 edges of type ('n1', 'r1', 'n2') and 31379 are inside the partition part 0 has 47968 edges of type ('n1', 'r2', 'n3') and 31460 are inside the partition part 0 has 47437 edges of type ('n2', 'r3', 'n3') and 31262 are inside the partition part 1 has 9970 nodes of type n1 and 3432 are inside the partition part 1 has 9970 nodes of type n2 and 3436 are inside the partition part 1 has 10003 nodes of type n3 and 3440 are inside the partition part 1 has 51532 edges of type ('n1', 'r1', 'n2') and 34221 are inside the partition part 1 has 51836 edges of type ('n1', 'r2', 'n3') and 34564 are inside the partition part 1 has 51818 edges of type ('n2', 'r3', 'n3') and 34537 are inside the partition part 2 has 9978 nodes of type n1 and 3432 are inside the partition part 2 has 9982 nodes of type n2 and 3436 are inside the partition part 2 has 9996 nodes of type n3 and 3440 are inside the partition part 2 has 51635 edges of type ('n1', 'r1', 'n2') and 34500 are inside the partition part 2 has 51625 edges of type ('n1', 'r2', 'n3') and 34176 are inside the partition part 2 has 51760 edges of type ('n2', 'r3', 'n3') and 34501 are inside the partition Save partitions: 0.039 seconds, peak memory: 1.852 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=1 load test_sampling start graph service on server 0 for part 0 [06:01:20] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:20] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13349]... PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g1] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [06:01:21] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:21] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13352]... PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g1] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [06:01:22] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:22] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13355]... PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g0] [06:01:23] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:23] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g0] PASSED [ 61%]PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g1] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g1] Client [2900] waits on 172.17.0.9:38297 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g1] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g0] PASSED [ 23%] tests/distributed/test_mp_dataloader.py::test_neg_dataloader[4-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:01:27] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 2708 nodes and 10556 edges into 3 parts and get 325 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.008s, peak mem: 1.852 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g1] part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.021 seconds, peak memory: 1.852 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp3-g1] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [06:01:28] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:28] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13039]... PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g0] server: #clients=5 load test_sampling PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g1] start graph service on server 1 for part 1 [06:01:29] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:29] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13042]... PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g0] PASSED [ 49%]PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g1] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g0] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [06:01:30] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:30] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13045]... PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g0] [06:01:31] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:31] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g0] [06:01:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:01:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g0] [[06:01:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc06:01:32:] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: 141Sender with NetType~: socketSender with NetType~ is created.socket is created. [06:01:32[] 06:01:32/root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc161:: 161Receiver with NetType~: socketReceiver with NetType~ is created.socket is created. PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] Client [2937] waits on 172.17.0.9:53809Client [2934] waits on 172.17.0.9:58043Client [2935] waits on 172.17.0.9:48283Client [2936] waits on 172.17.0.9:40655Client [2930] waits on 172.17.0.9:54909 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] Client[3] in group[0] is exiting... Client[4] in group[0] is exiting... PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g1] PASSED [ 85%]PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g0] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] Client[1] in group[0] is exiting... PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 87%]Client[0] in group[0] is exiting... PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g0] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g0] Client[2] in group[0] is exiting... PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype1] Server (0) shutdown. Server is exiting... Server (2) shutdown. Server (1) shutdown.Server is exiting... Server is exiting... PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g1] PASSED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-8] SKIPPED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-8] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-16] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-64] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-256] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-1] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-8] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-16] PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-64] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g0] PASSED [ 52%]PASSED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-256] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g0] PASSED [ 94%] tests/compute/test_sparse.py::test_use_libxsmm_switch PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g1] PASSED [ 94%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device0] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device1] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device2] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device0-parent_idx_device3] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[child_device1-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-device1] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected PASSED [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_adj PASSED [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max PASSED [ 96%] tests/compute/test_transform.py::test_partition_with_halo PASSED [ 96%] tests/compute/test_transform.py::test_metis_partition[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_metis_partition[idtype1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g1] Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4483@8 [Pipeline] { PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g0] [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_nodes PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g1] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4483@8 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g1] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_drop_node[idtype0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_shortest_dist[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_shortest_dist[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_to_levi[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_to_levi[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/backend/backend.py:1841: DeprecationWarning: invalid escape sequence \P """ ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:346 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_serialize.py: 10 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 10 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py::test_update_all_0deg[idtype0] tests/compute/test_basics.py::test_update_all_0deg[idtype1] tests/compute/test_basics.py::test_pull_0deg[idtype0] tests/compute/test_basics.py::test_pull_0deg[idtype1] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/core.py:85: DGLWarning: The input graph for the user-defined edge function does not contain valid edges "The input graph for the user-defined edge function " tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/heterograph_index.py:858: FutureWarning: Adjacency matrix by default currently returns edge IDs. As a result there is one 0 entry which is not eliminated. In the next release it will return 1s by default, and 0 will be eliminated otherwise. FutureWarning, tests/compute/test_data.py::test_citation_graph /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/data/citation_graph.py:262: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4483@6/tests/compute/test_data.py:1509: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations node_ids = np.arange(num_nodes, dtype=np.float) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4483@6/tests/compute/test_data.py:1549: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations src_ids = np.random.randint(num_nodes, size=num_edges).astype(np.float) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4483@6/tests/compute/test_data.py:1550: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations dst_ids = np.random.randint(num_nodes, size=num_edges).astype(np.float) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4483@6/tests/compute/test_data.py:1583: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations graph_ids = np.arange(num_graphs).astype(np.float) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4483@6/tests/compute/test_data.py:611: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations node_ids = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4483@6/tests/compute/test_data.py:612: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations src_ids = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4483@6/tests/compute/test_data.py:613: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations dst_ids = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4483@6/tests/compute/test_data.py:614: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations ngraph_ids = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4483@6/tests/compute/test_data.py:615: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations egraph_ids = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4483@6/tests/compute/test_data.py:616: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations u_indices = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/numpy/lib/arraysetops.py:604: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison mask &= (ar1 != a) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/data/csv_dataset_base.py:379: DGLWarning: Unamed column is found. Ignored... dgl_warning("Unamed column is found. Ignored...") tests/compute/test_graph.py::test_query /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py::test_create[idtype0] /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/backend/pytorch/tensor.py:52: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at ../torch/csrc/utils/tensor_new.cpp:201.) return th.as_tensor(data, dtype=dtype) tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4483@6/tests/compute/test_heterograph.py:1128: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(src_i)) == nid[src[i]] tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4483@6/tests/compute/test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/_tensor.py:1083: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at aten/src/ATen/core/TensorBody.h:477.) return self._grad tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/sampling/negative.py:118: ComplexWarning: Casting complex values to real discards the imaginary part redundancy, tests/compute/test_serialize.py: 10 warnings tests/compute/test_transform.py: 1 warning /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/data/graph_serialize.py:196: DGLWarning: You are loading a graph file saved by old version of dgl. Please consider saving it again with the current format. Please consider saving it again with the current format." tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/transforms/functional.py:1263: DGLWarning: share_ndata argument has been renamed to copy_ndata. dgl_warning('share_ndata argument has been renamed to copy_ndata.') tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/transforms/functional.py:1266: DGLWarning: share_edata argument has been renamed to copy_edata. dgl_warning('share_edata argument has been renamed to copy_edata.') tests/compute/test_transform.py::test_simple_graph /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/transforms/functional.py:1315: DGLWarning: dgl.to_simple_graph is renamed to dgl.to_simple in v0.5. dgl_warning('dgl.to_simple_graph is renamed to dgl.to_simple in v0.5.') tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/backend/pytorch/tensor.py:52: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:172.) return th.as_tensor(data, dtype=dtype) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4483@6/pytest_compute.xml - ============================ slowest 100 durations ============================= 100.27s call tests/compute/test_data.py::test_reddit 96.93s call tests/compute/test_kernel.py::test_all_binary_builtins 70.51s call tests/compute/test_data.py::test_fakenews 30.66s call tests/compute/test_data.py::test_as_graphpred 26.24s call tests/compute/test_data.py::test_as_graphpred_ogb 21.47s call tests/compute/test_data.py::test_gin 11.77s call tests/compute/test_data.py::test_tudataset_regression 10.61s call tests/compute/test_data.py::test_as_linkpred_ogb 8.99s call tests/compute/test_data.py::test_as_graphpred_reprocess 7.99s call tests/compute/test_data.py::test_gnn_benchmark 6.29s call tests/compute/test_data.py::test_as_nodepred_ogb 5.56s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 5.34s call tests/compute/test_data.py::test_fraud 4.21s call tests/compute/test_kernel.py::test_copy_src_reduce 4.12s call tests/compute/test_graph.py::test_query 3.79s call tests/compute/test_data.py::test_citation_graph 3.75s call tests/compute/test_data.py::test_explain_syn 3.70s call tests/compute/test_data.py::test_wiki_cs 3.28s call tests/compute/test_heterograph.py::test_query[idtype0] 3.18s call tests/compute/test_data.py::test_add_nodepred_split 3.06s call tests/compute/test_kernel.py::test_copy_edge_reduce 2.25s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] 2.08s call tests/compute/test_data.py::test_flickr 1.74s call tests/compute/test_heterograph.py::test_query[idtype1] 1.72s call tests/compute/test_heterograph.py::test_level2[idtype0] 1.66s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] 1.48s call tests/compute/test_transform.py::test_metis_partition[idtype1] 1.36s call tests/compute/test_heterograph.py::test_level2[idtype1] 1.31s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 1.28s call tests/compute/test_heterograph.py::test_forking_pickler 1.22s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 1.21s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-False] 0.93s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.92s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-False] 0.85s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] 0.82s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.80s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-True] 0.75s call tests/compute/test_data.py::test_csvdataset 0.74s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.73s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] 0.71s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.69s call tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-256] 0.66s call tests/compute/test_heterograph.py::test_updates[idtype0] 0.66s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] 0.65s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] 0.64s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] 0.64s call tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] 0.64s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] 0.63s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.63s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g1] 0.60s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.60s call tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype0] 0.60s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] 0.60s call tests/compute/test_transform.py::test_reorder_nodes 0.60s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] 0.60s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g1] 0.59s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] 0.58s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] 0.58s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] 0.57s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] 0.57s call tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] 0.56s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] 0.56s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] 0.56s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g1] 0.56s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] 0.56s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] 0.56s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] 0.55s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] 0.55s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] 0.55s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.55s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] 0.55s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] 0.54s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.54s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp0-g1] 0.54s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] 0.54s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] 0.53s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g0] 0.53s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] 0.53s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] 0.52s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] 0.52s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] 0.52s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] 0.52s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] 0.52s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] 0.51s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] 0.51s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] 0.51s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp4-g0] 0.51s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] 0.51s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] 0.51s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] 0.50s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] 0.50s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] 0.50s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] 0.50s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] 0.50s call tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] 0.50s call tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] 0.50s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] 0.50s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] 0.50s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] 0.50s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] ========== 2396 passed, 77 skipped, 171 warnings in 664.45s (0:11:04) ========== PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g1] Cleaning workspace Fetching without tags PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g0] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4483/head:refs/remotes/origin/PR-4483 # timeout=10 > git config --add remote.origin.fetch +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 No valid HEAD. Skipping the resetting > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4483@6 collecting ... PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g1] Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g0] Commit message: "revert the test code being reverted in #4956" Cleaning workspace PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp3-g1] > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g0] [Pipeline] sh PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g1] + docker pull dgllib/dgl-ci-cpu:v221216 PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g0] v221216: Pulling from dgllib/dgl-ci-cpu Digest: sha256:0559bb6a2ad7b63bc2ec2c385a60319c4aee0d0eebf23ae442171f63aad70294 Status: Image is up to date for dgllib/dgl-ci-cpu:v221216 docker.io/dgllib/dgl-ci-cpu:v221216 [Pipeline] } Converting to homogeneous graph takes 0.009s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.019 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.852 GB [06:01:51] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152428 edge cuts Metis partitioning: 0.230 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.250s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.026 seconds Split the graph: 0.076 seconds Construct subgraphs: 0.068 seconds Splitting the graph into partitions takes 0.171s, peak mem: 1.852 GB part 0 has 9950 nodes of type n1 and 3135 are inside the partition part 0 has 9966 nodes of type n2 and 3138 are inside the partition part 0 has 9966 nodes of type n3 and 3140 are inside the partition part 0 has 47402 edges of type ('n1', 'r1', 'n2') and 31420 are inside the partition part 0 has 47727 edges of type ('n1', 'r2', 'n3') and 31341 are inside the partition part 0 has 47420 edges of type ('n2', 'r3', 'n3') and 31016 are inside the partition part 1 has 9984 nodes of type n1 and 3433 are inside the partition part 1 has 9987 nodes of type n2 and 3436 are inside the partition part 1 has 9991 nodes of type n3 and 3440 are inside the partition part 1 has 51393 edges of type ('n1', 'r1', 'n2') and 34118 are inside the partition part 1 has 52026 edges of type ('n1', 'r2', 'n3') and 34658 are inside the partition part 1 has 51826 edges of type ('n2', 'r3', 'n3') and 34811 are inside the partition part 2 has 9975 nodes of type n1 and 3432 are inside the partition part 2 has 9973 nodes of type n2 and 3436 are inside the partition part 2 has 9993 nodes of type n3 and 3440 are inside the partition part 2 has 51710 edges of type ('n1', 'r1', 'n2') and 34562 are inside the partition part 2 has 51644 edges of type ('n1', 'r2', 'n3') and 34201 are inside the partition part 2 has 51880 edges of type ('n2', 'r3', 'n3') and 34473 are inside the partition Save partitions: 0.045 seconds, peak memory: 1.852 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g1] [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh collected 4172 items tests/pytorch/test_dataloader.py::test_graph_dataloader[None] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_graph_dataloader[16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g1] + docker inspect -f . dgllib/dgl-ci-cpu:v221216 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g0] dgl-manual-large-cpu does not seem to be running inside a container server: #clients=5 load test_sampling start graph service on server 0 for part 0 [06:01:53] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:53] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:22449]... $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4483@8 -v /root/jenkins/workspace/dgl_PR-4483@8:/root/jenkins/workspace/dgl_PR-4483@8:rw,z -v /root/jenkins/workspace/dgl_PR-4483@8@tmp:/root/jenkins/workspace/dgl_PR-4483@8@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v221216 cat PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[4] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g0] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [06:01:54] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:54] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:22452]... $ docker top f045ac75f81cace7dd0197bdaa19fb68d892bed9f897dbd3aea1951f0c3f446b -eo pid,comm PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g1] ERROR: The container started but didn't run the expected command. Please double check your ENTRYPOINT does execute the command passed as docker run argument, as required by official docker images (see https://github.com/docker-library/official-images#consistency for entrypoint consistency requirements). Alternatively you can force image entrypoint to be disabled by adding option `--entrypoint=''`. [Pipeline] { [Pipeline] stage [Pipeline] { (DGL-Go CPU test) [Pipeline] sh PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[0] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dgl_sparse dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git server: #clients=5 load test_sampling using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@343519dc; decorates RemoteLauncher[hudson.remoting.Channel@653504b6:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g0] Fetching without tags PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] start graph service on server 2 for part 2 [06:01:55] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:55] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:22455]... PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g1] Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g1] Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483@8/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g0] [06:01:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g1] [Pipeline] sh PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] + git submodule update --recursive --init PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g1] PASSED [ 56%]Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/pcg' (https://github.com/imneme/pcg-cpp.git) registered for path 'third_party/pcg' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/METIS'... tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/dlpack'... PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g1] [06:01:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:01:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:01:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:01:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:01:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/dmlc-core'... PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/googletest'... PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/libxsmm'... PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g0] Client [3050] waits on 172.17.0.9:47991 Client [3049] waits on 172.17.0.9:49213Client [3044] waits on 172.17.0.9:53777 Client [3051] waits on 172.17.0.9:43297 Client [3048] waits on 172.17.0.9:37499 Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g1] Client[4] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] Client[3] in group[0] is exiting... PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] Client[2] in group[0] is exiting... PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g1] Client[1] in group[0] is exiting... PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] Server (0) shutdown. Server is exiting... PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g1] PASSED [ 24%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-0-1] Converting to homogeneous graph takes 0.002s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] server: #clients=1 load test start graph service on server 0 for part 0 [06:02:07] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:07] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:13169]... PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g1] [06:02:08] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:08] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-uva_cpu_indices-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-pure_gpu-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-pure_gpu-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] Client [3144] waits on 172.17.0.9:33483 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 25%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-0-4] Converting to homogeneous graph takes 0.002s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] server: #clients=1 load test start graph service on server 0 for part 0 [06:02:13] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:13] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:21763]... PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] [06:02:14] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:14] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/nccl'... PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/pcg'... PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/phmap'... PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g0] Client [3158] waits on 172.17.0.9:55773 Machine (0) group (0) client (0) connect to server successfuly! Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/tensorpipe'... PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g0] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g1] PASSED [ 26%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-1-1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/thrust'... PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g0] Converting to homogeneous graph takes 0.002s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/tvm'... server: #clients=2 load test start graph service on server 0 for part 0 [06:02:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:21270]... PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g1] [06:02:20] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:20] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g1] [06:02:21] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:21] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype1] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype0] SKIPPED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-neighbor2-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-pure_gpu-neighbor2-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] Client [3176] waits on 172.17.0.9:54615 Client [3172] waits on 172.17.0.9:47671 Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g1] PASSED [ 2%]PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g0] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] Client[0] in group[0] is exiting... Client[1] in group[0] is exiting... PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/xbyak'... PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/METIS/GKlib'... PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype0] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler0-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] Server (0) shutdown. Server is exiting... PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g0] PASSED [ 26%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-1-4] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] Converting to homogeneous graph takes 0.003s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype0] Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/tensorpipe/third_party/googletest'... PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g0] server: #clients=2 load test start graph service on server 0 for part 0 [06:02:29] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:29] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:29782]... PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/tensorpipe/third_party/libnop'... PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/tensorpipe/third_party/libuv'... [06:02:30] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:30] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] [06:02:31] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:31] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/tensorpipe/third_party/pybind11'... PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g1] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g0] Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] Client [3206] waits on 172.17.0.9:50755 Client [3200] waits on 172.17.0.9:40009 Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/thrust/dependencies/cub'... PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-True] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-self-True] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-False] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/tvm/3rdparty/dlpack'... PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-False] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/tvm/3rdparty/rang'... PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-False] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-False] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4483@8/third_party/tvm/3rdparty/vta-hw'... PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-self-True] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g0] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' PASSED [ 4%] tests/pytorch/test_dist_optim.py::test_sparse_opt PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash Client[0] in group[0] is exiting... Client[1] in group[0] is exiting... PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g1] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so, build/dgl_sparse/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { [Pipeline] sh PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g0] + bash tests/scripts/task_go_test.sh PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g1] ~/jenkins/workspace/dgl_PR-4483@8/dglgo ~/jenkins/workspace/dgl_PR-4483@8 PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g0] WARNING: Skipping dglgo as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv Server (0) shutdown. Server is exiting... PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g1] running install running bdist_egg running egg_info creating dglgo.egg-info writing dglgo.egg-info/PKG-INFO writing dependency_links to dglgo.egg-info/dependency_links.txt writing entry points to dglgo.egg-info/entry_points.txt writing requirements to dglgo.egg-info/requires.txt writing top-level names to dglgo.egg-info/top_level.txt writing manifest file 'dglgo.egg-info/SOURCES.txt' reading manifest file 'dglgo.egg-info/SOURCES.txt' writing manifest file 'dglgo.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib creating build/lib/recipes copying recipes/__init__.py -> build/lib/recipes creating build/lib/dglgo copying dglgo/__init__.py -> build/lib/dglgo creating build/lib/dglgo/pipeline copying dglgo/pipeline/__init__.py -> build/lib/dglgo/pipeline creating build/lib/dglgo/utils copying dglgo/utils/early_stop.py -> build/lib/dglgo/utils copying dglgo/utils/optimizer_config.py -> build/lib/dglgo/utils copying dglgo/utils/enter_config.py -> build/lib/dglgo/utils copying dglgo/utils/yaml_dump.py -> build/lib/dglgo/utils copying dglgo/utils/__init__.py -> build/lib/dglgo/utils copying dglgo/utils/factory.py -> build/lib/dglgo/utils copying dglgo/utils/base_model.py -> build/lib/dglgo/utils creating build/lib/dglgo/apply_pipeline copying dglgo/apply_pipeline/__init__.py -> build/lib/dglgo/apply_pipeline creating build/lib/dglgo/model copying dglgo/model/__init__.py -> build/lib/dglgo/model creating build/lib/dglgo/cli copying dglgo/cli/config_apply_cli.py -> build/lib/dglgo/cli copying dglgo/cli/config_cli.py -> build/lib/dglgo/cli copying dglgo/cli/train_cli.py -> build/lib/dglgo/cli copying dglgo/cli/cli.py -> build/lib/dglgo/cli copying dglgo/cli/export_cli.py -> build/lib/dglgo/cli copying dglgo/cli/recipe_cli.py -> build/lib/dglgo/cli copying dglgo/cli/__init__.py -> build/lib/dglgo/cli copying dglgo/cli/apply_cli.py -> build/lib/dglgo/cli creating build/lib/dglgo/pipeline/nodepred_sample copying dglgo/pipeline/nodepred_sample/__init__.py -> build/lib/dglgo/pipeline/nodepred_sample copying dglgo/pipeline/nodepred_sample/gen.py -> build/lib/dglgo/pipeline/nodepred_sample creating build/lib/dglgo/pipeline/graphpred copying dglgo/pipeline/graphpred/__init__.py -> build/lib/dglgo/pipeline/graphpred copying dglgo/pipeline/graphpred/gen.py -> build/lib/dglgo/pipeline/graphpred creating build/lib/dglgo/pipeline/linkpred copying dglgo/pipeline/linkpred/__init__.py -> build/lib/dglgo/pipeline/linkpred copying dglgo/pipeline/linkpred/gen.py -> build/lib/dglgo/pipeline/linkpred creating build/lib/dglgo/pipeline/nodepred copying dglgo/pipeline/nodepred/__init__.py -> build/lib/dglgo/pipeline/nodepred copying dglgo/pipeline/nodepred/gen.py -> build/lib/dglgo/pipeline/nodepred creating build/lib/dglgo/apply_pipeline/nodepred_sample copying dglgo/apply_pipeline/nodepred_sample/__init__.py -> build/lib/dglgo/apply_pipeline/nodepred_sample copying dglgo/apply_pipeline/nodepred_sample/gen.py -> build/lib/dglgo/apply_pipeline/nodepred_sample creating build/lib/dglgo/apply_pipeline/graphpred copying dglgo/apply_pipeline/graphpred/__init__.py -> build/lib/dglgo/apply_pipeline/graphpred copying dglgo/apply_pipeline/graphpred/gen.py -> build/lib/dglgo/apply_pipeline/graphpred creating build/lib/dglgo/apply_pipeline/nodepred copying dglgo/apply_pipeline/nodepred/__init__.py -> build/lib/dglgo/apply_pipeline/nodepred copying dglgo/apply_pipeline/nodepred/gen.py -> build/lib/dglgo/apply_pipeline/nodepred creating build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/sage.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/sgc.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/gcn.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/gin.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/__init__.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/gat.py -> build/lib/dglgo/model/node_encoder creating build/lib/dglgo/model/graph_encoder copying dglgo/model/graph_encoder/gin_ogbg.py -> build/lib/dglgo/model/graph_encoder copying dglgo/model/graph_encoder/__init__.py -> build/lib/dglgo/model/graph_encoder copying dglgo/model/graph_encoder/pna.py -> build/lib/dglgo/model/graph_encoder creating build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/bilinear.py -> build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/dot.py -> build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/ele.py -> build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/__init__.py -> build/lib/dglgo/model/edge_encoder copying recipes/graphpred_hiv_gin.yaml -> build/lib/recipes copying recipes/graphpred_hiv_pna.yaml -> build/lib/recipes copying recipes/graphpred_pcba_gin.yaml -> build/lib/recipes copying recipes/linkpred_citation2_sage.yaml -> build/lib/recipes copying recipes/linkpred_collab_sage.yaml -> build/lib/recipes copying recipes/linkpred_cora_sage.yaml -> build/lib/recipes copying recipes/nodepred-ns_arxiv_gcn.yaml -> build/lib/recipes copying recipes/nodepred-ns_product_sage.yaml -> build/lib/recipes copying recipes/nodepred_citeseer_gat.yaml -> build/lib/recipes copying recipes/nodepred_citeseer_gcn.yaml -> build/lib/recipes copying recipes/nodepred_citeseer_sage.yaml -> build/lib/recipes copying recipes/nodepred_cora_gat.yaml -> build/lib/recipes copying recipes/nodepred_cora_gcn.yaml -> build/lib/recipes copying recipes/nodepred_cora_sage.yaml -> build/lib/recipes copying recipes/nodepred_pubmed_gat.yaml -> build/lib/recipes copying recipes/nodepred_pubmed_gcn.yaml -> build/lib/recipes copying recipes/nodepred_pubmed_sage.yaml -> build/lib/recipes copying dglgo/pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/lib/dglgo/pipeline/nodepred_sample copying dglgo/pipeline/graphpred/graphpred.jinja-py -> build/lib/dglgo/pipeline/graphpred copying dglgo/pipeline/linkpred/linkpred.jinja-py -> build/lib/dglgo/pipeline/linkpred copying dglgo/pipeline/nodepred/nodepred.jinja-py -> build/lib/dglgo/pipeline/nodepred copying dglgo/apply_pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/lib/dglgo/apply_pipeline/nodepred_sample copying dglgo/apply_pipeline/graphpred/graphpred.jinja-py -> build/lib/dglgo/apply_pipeline/graphpred copying dglgo/apply_pipeline/nodepred/nodepred.jinja-py -> build/lib/dglgo/apply_pipeline/nodepred creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/graphpred_hiv_pna.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_cora_gat.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_cora_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_citeseer_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_pubmed_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_pubmed_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/linkpred_citation2_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/linkpred_cora_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred-ns_product_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_pubmed_gat.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/graphpred_pcba_gin.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/graphpred_hiv_gin.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_citeseer_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_cora_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred-ns_arxiv_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/__init__.py -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/linkpred_collab_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_citeseer_gat.yaml -> build/bdist.linux-x86_64/egg/recipes creating build/bdist.linux-x86_64/egg/dglgo creating build/bdist.linux-x86_64/egg/dglgo/pipeline creating build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample copying build/lib/dglgo/pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample copying build/lib/dglgo/pipeline/nodepred_sample/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample copying build/lib/dglgo/pipeline/nodepred_sample/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample creating build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred copying build/lib/dglgo/pipeline/graphpred/graphpred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred copying build/lib/dglgo/pipeline/graphpred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred copying build/lib/dglgo/pipeline/graphpred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred creating build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred copying build/lib/dglgo/pipeline/linkpred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred copying build/lib/dglgo/pipeline/linkpred/linkpred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred copying build/lib/dglgo/pipeline/linkpred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred creating build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/nodepred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/nodepred/nodepred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/nodepred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline creating build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/early_stop.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/optimizer_config.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/enter_config.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/yaml_dump.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/factory.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/base_model.py -> build/bdist.linux-x86_64/egg/dglgo/utils creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample copying build/lib/dglgo/apply_pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample copying build/lib/dglgo/apply_pipeline/nodepred_sample/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample copying build/lib/dglgo/apply_pipeline/nodepred_sample/gen.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred copying build/lib/dglgo/apply_pipeline/graphpred/graphpred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred copying build/lib/dglgo/apply_pipeline/graphpred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred copying build/lib/dglgo/apply_pipeline/graphpred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/nodepred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/nodepred/nodepred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/nodepred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline creating build/bdist.linux-x86_64/egg/dglgo/model creating build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/sage.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/sgc.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/gcn.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/gin.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/gat.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder creating build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder copying build/lib/dglgo/model/graph_encoder/gin_ogbg.py -> build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder copying build/lib/dglgo/model/graph_encoder/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder copying build/lib/dglgo/model/graph_encoder/pna.py -> build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder creating build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/bilinear.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/dot.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/ele.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model creating build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/config_apply_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/config_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/train_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/export_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/recipe_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/apply_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/__init__.py -> build/bdist.linux-x86_64/egg/dglgo byte-compiling build/bdist.linux-x86_64/egg/recipes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/early_stop.py to early_stop.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/optimizer_config.py to optimizer_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/enter_config.py to enter_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/yaml_dump.py to yaml_dump.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/base_model.py to base_model.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/sage.py to sage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/sgc.py to sgc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/gcn.py to gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/gin.py to gin.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/gat.py to gat.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder/gin_ogbg.py to gin_ogbg.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder/pna.py to pna.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/bilinear.py to bilinear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/dot.py to dot.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/ele.py to ele.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/config_apply_cli.py to config_apply_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/config_cli.py to config_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/train_cli.py to train_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/cli.py to cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/export_cli.py to export_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/recipe_cli.py to recipe_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/apply_cli.py to apply_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/__init__.py to __init__.cpython-37.pyc creating build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/entry_points.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, zip_safe flag not set; analyzing archive contents... dglgo.apply_pipeline.graphpred.__pycache__.gen.cpython-37: module references __file__ dglgo.apply_pipeline.nodepred.__pycache__.gen.cpython-37: module references __file__ dglgo.apply_pipeline.nodepred_sample.__pycache__.gen.cpython-37: module references __file__ dglgo.cli.__pycache__.recipe_cli.cpython-37: module references __file__ dglgo.pipeline.graphpred.__pycache__.gen.cpython-37: module references __file__ dglgo.pipeline.linkpred.__pycache__.gen.cpython-37: module references __file__ dglgo.pipeline.nodepred.__pycache__.gen.cpython-37: module references __file__ dglgo.pipeline.nodepred_sample.__pycache__.gen.cpython-37: module references __file__ dglgo.utils.__pycache__.factory.cpython-37: module references __file__ creating dist creating 'dist/dglgo-0.0.2-py3.7.egg' and adding 'build/bdist.linux-x86_64/egg' to it PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g0] removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dglgo-0.0.2-py3.7.egg creating /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg Extracting dglgo-0.0.2-py3.7.egg to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding dglgo 0.0.2 to easy-install.pth file Installing dgl script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg Processing dependencies for dglgo==0.0.2 Searching for rdkit-pypi Reading https://pypi.org/simple/rdkit-pypi/ PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g1] PASSED [ 27%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-4-1] Converting to homogeneous graph takes 0.002s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g1] server: #clients=5 load test start graph service on server 0 for part 0 [06:02:43] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:43] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:18667]... PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-e-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g0] [06:02:44] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:44] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g1] Downloading https://files.pythonhosted.org/packages/56/97/a2473b630dd3137ee854e0b20a8e7e0f1279952314386777b229d8b8ce43/rdkit_pypi-2022.9.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=3910bb09037402312b4cdddcbe613e0ef561b2024c466de3944ce501d6ce762d Best match: rdkit-pypi 2022.9.3 Processing rdkit_pypi-2022.9.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing rdkit_pypi-2022.9.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] [06:02:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:02:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:02:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:02:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Adding rdkit-pypi 2022.9.3 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/rdkit_pypi-2022.9.3-py3.7-linux-x86_64.egg Searching for PyYAML>=5.1 Reading https://pypi.org/simple/PyYAML/ PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] Downloading https://files.pythonhosted.org/packages/eb/5f/6e6fe6904e1a9c67bc2ca5629a69e7a5a0b17f079da838bab98a1e548b25/PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl#sha256=231710d57adfd809ef5d34183b8ed1eeae3f76459c18fb4a0b373ad56bedcdd9 PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g0] Best match: PyYAML 6.0 Processing PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl Installing PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding PyYAML 6.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/PyYAML-6.0-py3.7-linux-x86_64.egg Searching for ruamel.yaml>=0.17.20 Reading https://pypi.org/simple/ruamel.yaml/ PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g0] Client [3238] waits on 172.17.0.9:57249 Client [3237] waits on 172.17.0.9:55885Client [3239] waits on 172.17.0.9:42041 Client [3232] waits on 172.17.0.9:35339Client [3236] waits on 172.17.0.9:37001 Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp0-g1] Client[0] in group[0] is exiting... Client[1] in group[0] is exiting... PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g1] Client[3] in group[0] is exiting... PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g1] Client[4] in group[0] is exiting... PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp3-g1] Client[2] in group[0] is exiting... PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-v-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g1] Server (0) shutdown. Server is exiting... PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g0] PASSED [ 28%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-4-4] Converting to homogeneous graph takes 0.002s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g0] server: #clients=5 load test start graph service on server 0 for part 0 [06:02:54] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:54] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:11423]... PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g0] [06:02:55] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:55] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g1] [06:02:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:02:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:02:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:02:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:02:56] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-e-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g0] Client [3297] waits on 172.17.0.9:58061 Client [3298] waits on 172.17.0.9:49161 Client [3290] waits on 172.17.0.9:45115Client [3296] waits on 172.17.0.9:37241 Client [3299] waits on 172.17.0.9:41997 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g0] PASSED [ 4%] tests/pytorch/test_geometry.py::test_fps PASSED [ 4%] tests/pytorch/test_geometry.py::test_fps_start_idx PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce-blas] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-euclidean-kd-tree] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce-blas] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g1] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-bruteforce] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[False-cosine-kd-tree] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g0] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce-blas] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g1] PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-bruteforce] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g0] Client[2] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-euclidean-kd-tree] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g1] Downloading https://files.pythonhosted.org/packages/9e/cb/938214ac358fbef7058343b3765c79a1b7ed0c366f7f992ce7ff38335652/ruamel.yaml-0.17.21-py3-none-any.whl#sha256=742b35d3d665023981bd6d16b3d24248ce5df75fdb4e2924e93a05c1f8b61ca7 Best match: ruamel.yaml 0.17.21 Processing ruamel.yaml-0.17.21-py3-none-any.whl Installing ruamel.yaml-0.17.21-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding ruamel.yaml 0.17.21 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/ruamel.yaml-0.17.21-py3.7.egg Searching for pydantic>=1.9.0 Reading https://pypi.org/simple/pydantic/ PASSED [ 4%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-bruteforce] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[True-cosine-kd-tree] Client[4] in group[0] is exiting... PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-euclidean-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[False-cosine-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[True-euclidean-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-blas] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cuda[True-cosine-bruteforce-sharemem] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-True-g6-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g0-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g1-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g2-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g3-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g4-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g5-idtype1] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_edge_coarsening[True-False-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-True-g6-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g0-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g1-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g2-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 6%] tests/pytorch/test_ipc.py::test_torch_ipc PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g1] Client[3] in group[0] is exiting... PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g0] Client[1] in group[0] is exiting... PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[2] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g3-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g4-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-both-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g1-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g2-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g3-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g4-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g5-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype0] PASSED [ 7%]PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g1] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g6-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-right-g7-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g0-idtype1] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype0] PASSED [ 7%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-left-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g6-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-none-g7-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g0-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g1-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g2-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g3-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g4-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g5-idtype1] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype0] PASSED [ 8%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-both-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-right-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g2-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g3-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g4-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g5-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g6-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-True-False-left-g7-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g0-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g1-idtype1] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g2-idtype1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype0] PASSED [ 9%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-none-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-both-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g0-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g1-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g2-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g3-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g4-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g5-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g6-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype0] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-right-g7-idtype1] PASSED [ 10%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-True-left-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g5-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g6-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-none-g7-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g0-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g1-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g2-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g3-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype0] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g4-idtype1] PASSED [ 11%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-both-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g0-idtype1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-right-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g2-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g3-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g4-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g5-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g6-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[1-False-False-left-g7-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g0-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype0] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g1-idtype1] PASSED [ 12%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-none-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-both-g7-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g0-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g1-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g2-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g3-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g4-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g5-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype0] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g6-idtype1] PASSED [ 13%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-right-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype0] Server (0) shutdown. Server is exiting... PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-True-left-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g3-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g4-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g5-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g6-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-none-g7-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g0-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g1-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g2-idtype1] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype0] PASSED [ 14%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-both-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-right-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g0-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g1-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g2-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g3-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g4-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g5-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g6-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-True-False-left-g7-idtype1] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype0] PASSED [ 15%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-none-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g5-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g6-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-both-g7-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g0-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g1-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g2-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g3-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g4-idtype1] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype0] PASSED [ 16%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-right-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-True-left-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g2-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g3-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g4-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g5-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g6-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-none-g7-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g0-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype0] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g1-idtype1] PASSED [ 17%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-both-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype0] PASSED [ 18%]PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g0] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-right-g7-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g0-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g1-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g2-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g3-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g4-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g5-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype0] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g6-idtype1] PASSED [ 18%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv[2-False-False-left-g7-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-True-False-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[1-False-False-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-True-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-True-False-right-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-none-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype0] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-both-g0-idtype1] PASSED [ 19%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight[2-False-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-True-right-g0-idtype1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-True-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[1-False-False-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-True-right-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-none-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype0] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-both-g0-idtype1] PASSED [ 20%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-True-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-both-g0-idtype1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_e_weight_norm[2-False-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g0-idtype1] PASSED [ 29%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-0-1] Converting to homogeneous graph takes 0.002s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-none-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-True-right-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-none-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-both-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-True-False-right-g1-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g0-idtype1] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype0] PASSED [ 21%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-True-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[1-False-False-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-both-g1-idtype1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-True-right-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-none-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g0-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-both-g1-idtype1] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype0] PASSED [ 22%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-True-False-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-none-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-True-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-none-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-both-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g0-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_graph_conv_bi[2-False-False-right-g1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_tagconv[1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g1] PASSED [ 23%] tests/pytorch/test_nn.py::test_tagconv[2] PASSED [ 23%] tests/pytorch/test_nn.py::test_set2set Downloading https://files.pythonhosted.org/packages/6f/6a/a3b9a51b886eeee570ddb32ae64a8d2fd00cd25cb1daaf82260188d2d1e4/pydantic-1.10.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=fdf88ab63c3ee282c76d652fc86518aacb737ff35796023fae56a65ced1a5978 Best match: pydantic 1.10.4 Processing pydantic-1.10.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing pydantic-1.10.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding pydantic 1.10.4 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pydantic-1.10.4-py3.7-linux-x86_64.egg Searching for numpydoc>=1.1.0 Reading https://pypi.org/simple/numpydoc/ Downloading https://files.pythonhosted.org/packages/c4/81/ad9b8837442ff451eca82515b41ac425f87acff7e2fc016fd1bda13fc01a/numpydoc-1.5.0-py3-none-any.whl#sha256=c997759fb6fc32662801cece76491eedbc0ec619b514932ffd2b270ae89c07f9 Best match: numpydoc 1.5.0 Processing numpydoc-1.5.0-py3-none-any.whl Installing numpydoc-1.5.0-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding numpydoc 1.5.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/numpydoc-1.5.0-py3.7.egg Searching for autopep8>=1.6.0 Reading https://pypi.org/simple/autopep8/ PASSED [ 23%] tests/pytorch/test_nn.py::test_glob_att_pool PASSED [ 23%] tests/pytorch/test_nn.py::test_simple_pool PASSED [ 23%] tests/pytorch/test_nn.py::test_set_trans Downloading https://files.pythonhosted.org/packages/82/f8/9cc97232fb1612327525903296f5e4d8ba1c4acc3469c18afdeba839ce62/autopep8-2.0.1-py2.py3-none-any.whl#sha256=be5bc98c33515b67475420b7b1feafc8d32c1a69862498eda4983b45bffd2687 Best match: autopep8 2.0.1 Processing autopep8-2.0.1-py2.py3-none-any.whl Installing autopep8-2.0.1-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding autopep8 2.0.1 to easy-install.pth file Installing autopep8 script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/autopep8-2.0.1-py3.7.egg Searching for isort>=5.10.1 Reading https://pypi.org/simple/isort/ PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g0] server: #clients=1 load test start graph service on server 0 for part 0 [06:03:09] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:09] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:25054]... PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[8-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[8-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[32-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn[32-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[1-idtype1] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype0] PASSED [ 23%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[10-idtype1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g1] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_rgcn_default_nbasis[40-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype0] [06:03:09] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:09] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g0] Downloading https://files.pythonhosted.org/packages/8c/1e/635dcb1f08392eef8d66b55359a245371d984dd0f30927e90c8cd7ba0a9b/isort-6.0.0b2-py3-none-any.whl#sha256=cde11e804641edbe1b6b95d56582eb541f27eebc77864c6015545944bb0e9c76 Best match: isort 6.0.0b2 Processing isort-6.0.0b2-py3-none-any.whl Installing isort-6.0.0b2-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding isort 6.0.0b2 to easy-install.pth file Installing isort script to /opt/conda/envs/pytorch-ci/bin Installing isort-identify-imports script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/isort-6.0.0b2-py3.7.egg Searching for typer>=0.4.0 Reading https://pypi.org/simple/typer/ PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g1] Downloading https://files.pythonhosted.org/packages/0d/44/56c3f48d2bb83d76f5c970aef8e2c3ebd6a832f09e3621c5395371fe6999/typer-0.7.0-py3-none-any.whl#sha256=b5e704f4e48ec263de1c0b3a2387cd405a13767d2f907f44c1a08cbad96f606d Best match: typer 0.7.0 Processing typer-0.7.0-py3-none-any.whl Installing typer-0.7.0-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding typer 0.7.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/typer-0.7.0-py3.7.egg Searching for ruamel.yaml.clib>=0.2.6 Reading https://pypi.org/simple/ruamel.yaml.clib/ PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g0-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g2-idtype1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g3-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g4-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g5-idtype1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[1-5-g6-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 24%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g5-idtype1] Downloading https://files.pythonhosted.org/packages/38/d9/12fd19480b081d0930b82fe15ed1f9e400aa06530b9f722149bb2580a913/ruamel.yaml.clib-0.2.7-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl#sha256=c3ca1fbba4ae962521e5eb66d72998b51f0f4d0f608d3c0347a48e1af262efa7 PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g1-idtype1] Best match: ruamel.yaml.clib 0.2.7 Processing ruamel.yaml.clib-0.2.7-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl Installing ruamel.yaml.clib-0.2.7-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding ruamel.yaml.clib 0.2.7 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/ruamel.yaml.clib-0.2.7-py3.7-linux-x86_64.egg Searching for Jinja2>=2.10 Reading https://pypi.org/simple/Jinja2/ PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp1-g1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g2-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g3-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype0] Downloading https://files.pythonhosted.org/packages/bc/c3/f068337a370801f372f2f8f6bad74a5c140f6fda3d9de154052708dd3c65/Jinja2-3.1.2-py3-none-any.whl#sha256=6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61 PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g4-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g5-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv[4-5-g6-idtype1] Best match: Jinja2 3.1.2 Processing Jinja2-3.1.2-py3-none-any.whl Installing Jinja2-3.1.2-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding Jinja2 3.1.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Jinja2-3.1.2-py3.7.egg Searching for sphinx>=4.2 Reading https://pypi.org/simple/sphinx/ PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp2-g1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] Client [3352] waits on 172.17.0.9:50157 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g0-idtype1] Server (0) shutdown. Server is exiting... PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp4-g1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g1-idtype1] PASSED [ 30%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-0-4] Converting to homogeneous graph takes 0.002s, peak mem: 1.852 GB Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. Downloading https://files.pythonhosted.org/packages/89/ea/7ca493912693b1a46420cba13be885b3a1d758990c72f5d2b51916ce092f/sphinx-6.1.2-py3-none-any.whl#sha256=2add7555f702f3e70654e04ac352d14974c8deb4a1e0785860914cd1269688f9 Best match: sphinx 6.1.2 Processing sphinx-6.1.2-py3-none-any.whl Installing sphinx-6.1.2-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp3-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-u-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g2-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype0] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g3-idtype1] PASSED [ 25%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype0] Adding sphinx 6.1.2 to easy-install.pth file Installing sphinx-apidoc script to /opt/conda/envs/pytorch-ci/bin Installing sphinx-autogen script to /opt/conda/envs/pytorch-ci/bin Installing sphinx-build script to /opt/conda/envs/pytorch-ci/bin Installing sphinx-quickstart script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinx-6.1.2-py3.7.egg Searching for pycodestyle>=2.10.0 Reading https://pypi.org/simple/pycodestyle/ PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp0-g1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g4-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype0] Downloading https://files.pythonhosted.org/packages/a2/54/001fdc0d69e8d0bb86c3423a6fa6dfada8cc26317c2635ab543e9ac411bd/pycodestyle-2.10.0-py2.py3-none-any.whl#sha256=8a4eaf0d0495c7395bdab3589ac2db602797d76207242c17d470186815706610 Best match: pycodestyle 2.10.0 Processing pycodestyle-2.10.0-py2.py3-none-any.whl Installing pycodestyle-2.10.0-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding pycodestyle 2.10.0 to easy-install.pth file Installing pycodestyle script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pycodestyle-2.10.0-py3.7.egg Searching for MarkupSafe>=2.0 Reading https://pypi.org/simple/MarkupSafe/ PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g5-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-1-g6-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g0-idtype1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g2-idtype1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g3-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype0] server: #clients=1 load test start graph service on server 0 for part 0 [06:03:15] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:15] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:27571]... PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp2-g1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g4-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g5-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[1-5-g6-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g0-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g2-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g3-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype0] [06:03:15] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:15] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g4-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g5-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-1-g6-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g0-idtype1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g1-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g2-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype0] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g3-idtype1] PASSED [ 26%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g4-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype0] Downloading https://files.pythonhosted.org/packages/9f/83/b221ce5a0224f409b9f02b0dc6cb0b921c46033f4870d64fa3e8a96af701/MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=e72591e9ecd94d7feb70c1cbd7be7b3ebea3f548870aa91e2732960fa4d57a37 Best match: MarkupSafe 2.1.1 Processing MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding MarkupSafe 2.1.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/MarkupSafe-2.1.1-py3.7-linux-x86_64.egg Searching for imagesize>=1.3 Reading https://pypi.org/simple/imagesize/ PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g5-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv[4-5-g6-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g0] Downloading https://files.pythonhosted.org/packages/ff/62/85c4c919272577931d407be5ba5d71c20f0b616d31a0befe0ae45bb79abd/imagesize-1.4.1-py2.py3-none-any.whl#sha256=0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b Best match: imagesize 1.4.1 Processing imagesize-1.4.1-py2.py3-none-any.whl Installing imagesize-1.4.1-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding imagesize 1.4.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/imagesize-1.4.1-py3.7.egg Searching for alabaster<0.8,>=0.7 Reading https://pypi.org/simple/alabaster/ PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-1-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[1-2-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g1] Downloading https://files.pythonhosted.org/packages/10/ad/00b090d23a222943eb0eda509720a404f531a439e803f6538f35136cae9e/alabaster-0.7.12-py2.py3-none-any.whl#sha256=446438bdcca0e05bd45ea2de1668c1d9b032e1a9154c2c259092d77031ddd359 Best match: alabaster 0.7.12 Processing alabaster-0.7.12-py2.py3-none-any.whl Installing alabaster-0.7.12-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding alabaster 0.7.12 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/alabaster-0.7.12-py3.7.egg Searching for babel>=2.9 Reading https://pypi.org/simple/babel/ PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-1-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g0] Downloading https://files.pythonhosted.org/packages/92/f7/86301a69926e11cd52f73396d169554d09b20b1723a040c2dcc1559ef588/Babel-2.11.0-py3-none-any.whl#sha256=1ad3eca1c885218f6dce2ab67291178944f810a10a9b5f3cb8382a5a232b64fe PASSED [ 27%] tests/pytorch/test_nn.py::test_gatv2_conv_bi[4-2-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp2-g1] Best match: Babel 2.11.0 Processing Babel-2.11.0-py3-none-any.whl Installing Babel-2.11.0-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g2-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g3-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g4-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-1-g5-idtype1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g0] Adding Babel 2.11.0 to easy-install.pth file Installing pybabel script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Babel-2.11.0-py3.7.egg Searching for snowballstemmer>=2.0 Reading https://pypi.org/simple/snowballstemmer/ Downloading https://files.pythonhosted.org/packages/ed/dc/c02e01294f7265e63a7315fe086dd1df7dacb9f840a804da846b96d01b96/snowballstemmer-2.2.0-py2.py3-none-any.whl#sha256=c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g0-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g1-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g2-idtype1] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype0] PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g3-idtype1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g1] Best match: snowballstemmer 2.2.0 Processing snowballstemmer-2.2.0-py2.py3-none-any.whl Installing snowballstemmer-2.2.0-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding snowballstemmer 2.2.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/snowballstemmer-2.2.0-py3.7.egg Searching for docutils<0.20,>=0.18 Reading https://pypi.org/simple/docutils/ PASSED [ 27%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-1-5-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g1-idtype1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g0] Downloading https://files.pythonhosted.org/packages/93/69/e391bd51bc08ed9141ecd899a0ddb61ab6465309f1eb470905c0c8868081/docutils-0.19-py3-none-any.whl#sha256=5e1de4d849fee02c63b040a4a3fd567f4ab104defd8a5511fbbc24a8a017efbc Best match: docutils 0.19 Processing docutils-0.19-py3-none-any.whl Installing docutils-0.19-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding docutils 0.19 to easy-install.pth file Installing rst2html4.py script to /opt/conda/envs/pytorch-ci/bin Installing rstpep2html.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2man.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2xetex.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2s5.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2pseudoxml.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2html5.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2odt.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2latex.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2html.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2odt_prepstyles.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2xml.py script to /opt/conda/envs/pytorch-ci/bin Installing docutils script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/docutils-0.19-py3.7.egg Searching for Pygments>=2.13 Reading https://pypi.org/simple/Pygments/ PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g3-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-1-g5-idtype1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp4-g1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g2-idtype1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g0] Downloading https://files.pythonhosted.org/packages/0b/42/d9d95cc461f098f204cd20c85642ae40fbff81f74c300341b8d0e0df14e0/Pygments-2.14.0-py3-none-any.whl#sha256=fa7bd7bd2771287c0de303af8bfdfc731f51bd2c6a47ab69d117138893b82717 Best match: Pygments 2.14.0 Processing Pygments-2.14.0-py3-none-any.whl Installing Pygments-2.14.0-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Client [3366] waits on 172.17.0.9:44649 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g3-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[1-5-5-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g0-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp0-g1] Adding Pygments 2.14.0 to easy-install.pth file Installing pygmentize script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Pygments-2.14.0-py3.7.egg Searching for sphinxcontrib-qthelp Reading https://pypi.org/simple/sphinxcontrib-qthelp/ Downloading https://files.pythonhosted.org/packages/2b/14/05f9206cf4e9cfca1afb5fd224c7cd434dcc3a433d6d9e4e0264d29c6cdb/sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl#sha256=bd9fc24bcb748a8d51fd4ecaade681350aa63009a347a8c14e637895444dfab6 Best match: sphinxcontrib-qthelp 1.0.3 Processing sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl Installing sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g1-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g2-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g3-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] Adding sphinxcontrib-qthelp 1.0.3 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinxcontrib_qthelp-1.0.3-py3.7.egg Searching for sphinxcontrib-serializinghtml>=1.1.5 Reading https://pypi.org/simple/sphinxcontrib-serializinghtml/ Downloading https://files.pythonhosted.org/packages/c6/77/5464ec50dd0f1c1037e3c93249b040c8fc8078fdda97530eeb02424b6eea/sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl#sha256=352a9a00ae864471d3a7ead8d7d79f5fc0b57e8b3f95e9867eb9eb28999b92fd PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g4-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-1-g5-idtype1] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype0] PASSED [ 28%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g2-idtype1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g1] Best match: sphinxcontrib-serializinghtml 1.1.5 Processing sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl Installing sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding sphinxcontrib-serializinghtml 1.1.5 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinxcontrib_serializinghtml-1.1.5-py3.7.egg Searching for sphinxcontrib-htmlhelp>=2.0.0 Reading https://pypi.org/simple/sphinxcontrib-htmlhelp/ Downloading https://files.pythonhosted.org/packages/63/40/c854ef09500e25f6432dcbad0f37df87fd7046d376272292d8654cc71c95/sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl#sha256=d412243dfb797ae3ec2b59eca0e52dac12e75a241bf0e4eb861e450d06c6ed07 PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-1-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g0-idtype1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g0] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Best match: sphinxcontrib-htmlhelp 2.0.0 Processing sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl Installing sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding sphinxcontrib-htmlhelp 2.0.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinxcontrib_htmlhelp-2.0.0-py3.7.egg Searching for sphinxcontrib-jsmath Reading https://pypi.org/simple/sphinxcontrib-jsmath/ Downloading https://files.pythonhosted.org/packages/c2/42/4c8646762ee83602e3fb3fbe774c2fac12f317deb0b5dbeeedd2d3ba4b77/sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl#sha256=2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178 PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g2-idtype1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-g1] PASSED [ 30%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-1-1] Converting to homogeneous graph takes 0.002s, peak mem: 1.852 GB Best match: sphinxcontrib-jsmath 1.0.1 Processing sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl Installing sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding sphinxcontrib-jsmath 1.0.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinxcontrib_jsmath-1.0.1-py3.7.egg Searching for sphinxcontrib-devhelp Reading https://pypi.org/simple/sphinxcontrib-devhelp/ Downloading https://files.pythonhosted.org/packages/c5/09/5de5ed43a521387f18bdf5f5af31d099605c992fd25372b2b9b825ce48ee/sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl#sha256=8165223f9a335cc1af7ffe1ed31d2871f325254c0423bc0c4c7cd1c1e4734a2e PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-1-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g0-idtype1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. Best match: sphinxcontrib-devhelp 1.0.2 Processing sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl Installing sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding sphinxcontrib-devhelp 1.0.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinxcontrib_devhelp-1.0.2-py3.7.egg Searching for sphinxcontrib-applehelp Reading https://pypi.org/simple/sphinxcontrib-applehelp/ Downloading https://files.pythonhosted.org/packages/dc/47/86022665a9433d89a66f5911b558ddff69861766807ba685de2e324bd6ed/sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl#sha256=806111e5e962be97c29ec4c1e7fe277bfd19e9652fb1a4392105b43e01af885a Best match: sphinxcontrib-applehelp 1.0.2 Processing sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl Installing sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g1-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g2-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g3-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g1] Adding sphinxcontrib-applehelp 1.0.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinxcontrib_applehelp-1.0.2-py3.7.egg Searching for scikit-learn==1.0.2 Best match: scikit-learn 1.0.2 Adding scikit-learn 1.0.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for ogb==1.3.5 Best match: ogb 1.3.5 Adding ogb 1.3.5 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for threadpoolctl==3.1.0 Best match: threadpoolctl 3.1.0 Adding threadpoolctl 3.1.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for joblib==1.2.0 Best match: joblib 1.2.0 Adding joblib 1.2.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for scipy==1.7.3 Best match: scipy 1.7.3 Adding scipy 1.7.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for numpy==1.21.6 Best match: numpy 1.21.6 Adding numpy 1.21.6 to easy-install.pth file Installing f2py script to /opt/conda/envs/pytorch-ci/bin Installing f2py3 script to /opt/conda/envs/pytorch-ci/bin Installing f2py3.7 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for Pillow==9.3.0 Best match: Pillow 9.3.0 Adding Pillow 9.3.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for outdated==0.2.2 Best match: outdated 0.2.2 Adding outdated 0.2.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for urllib3==1.26.13 Best match: urllib3 1.26.13 Adding urllib3 1.26.13 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for six==1.16.0 Best match: six 1.16.0 Adding six 1.16.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for pandas==1.1.5 Best match: pandas 1.1.5 Adding pandas 1.1.5 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for tqdm==4.64.1 Best match: tqdm 4.64.1 Adding tqdm 4.64.1 to easy-install.pth file Installing tqdm script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for torch==1.12.0+cpu Best match: torch 1.12.0+cpu Adding torch 1.12.0+cpu to easy-install.pth file Installing convert-caffe2-to-onnx script to /opt/conda/envs/pytorch-ci/bin Installing convert-onnx-to-caffe2 script to /opt/conda/envs/pytorch-ci/bin Installing torchrun script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for typing-extensions==4.4.0 Best match: typing-extensions 4.4.0 Adding typing-extensions 4.4.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for tomli==2.0.1 Best match: tomli 2.0.1 Adding tomli 2.0.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for click==8.1.3 Best match: click 8.1.3 Adding click 8.1.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for littleutils==0.2.2 Best match: littleutils 0.2.2 Adding littleutils 0.2.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for setuptools==65.5.0 Best match: setuptools 65.5.0 Adding setuptools 65.5.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for pytz==2022.6 Best match: pytz 2022.6 Adding pytz 2022.6 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for python-dateutil==2.8.2 Best match: python-dateutil 2.8.2 Adding python-dateutil 2.8.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for importlib-metadata==5.1.0 Best match: importlib-metadata 5.1.0 Adding importlib-metadata 5.1.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for packaging==22.0 Best match: packaging 22.0 Adding packaging 22.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for certifi==2022.9.24 Best match: certifi 2022.9.24 Adding certifi 2022.9.24 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for idna==3.4 Best match: idna 3.4 Adding idna 3.4 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.1 Best match: charset-normalizer 2.1.1 Adding charset-normalizer 2.1.1 to easy-install.pth file Installing normalizer script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for zipp==3.11.0 Best match: zipp 3.11.0 Adding zipp 3.11.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Finished processing dependencies for dglgo==0.0.2 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: post1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: qthelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: qthelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: qthelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: qthelp-1.0.3 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: serializinghtml-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: serializinghtml-1.1.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: serializinghtml-1.1.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: serializinghtml-1.1.3 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: serializinghtml-1.1.4 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: serializinghtml-1.1.5 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: htmlhelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: htmlhelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: htmlhelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: htmlhelp-1.0.3 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: htmlhelp-2.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: jsmath-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: jsmath-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: devhelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: devhelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: devhelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: applehelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: applehelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:126: PkgResourcesDeprecationWarning: applehelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, ~/jenkins/workspace/dgl_PR-4483@8 PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g4-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv[4-5-5-g5-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g0-idtype1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-1-g1-idtype1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g0-idtype1] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype0] PASSED [ 29%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-1-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp0-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp3-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-v-shp4-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-1-g1-idtype1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g1] Collecting psutil Downloading psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 280.2/280.2 kB 9.5 MB/s eta 0:00:00 server: #clients=2 load test start graph service on server 0 for part 0 [06:03:21] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:21] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:14090]... PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[1-5-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g0] Installing collected packages: psutil PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-1-g1-idtype1] Successfully installed psutil-5.9.4 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-1-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-1-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4483@8 collecting ... [06:03:22] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:22] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g0-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_egat_conv_bi[4-5-5-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g0-idtype1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g1-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g2-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g3-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g4-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g5-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g6-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[mean-g7-idtype1] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype0] PASSED [ 30%] tests/pytorch/test_nn.py::test_sage_conv[pool-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[pool-g7-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g5-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g6-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[gcn-g7-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g0-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp3-g1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g1-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype0] [06:03:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g2-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g3-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g4-idtype1] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype0] PASSED [ 31%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g5-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp0-g1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g6-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv[lstm-g7-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g1-idtype1] collected 13 items tests/go/test_model.py::test_gcn[g0] PASSED [ 7%] tests/go/test_model.py::test_gcn_block[g0] PASSED [ 15%] tests/go/test_model.py::test_gat[g0] PASSED [ 23%] tests/go/test_model.py::test_gat_block[g0] PASSED [ 30%] tests/go/test_model.py::test_gin[g0] PASSED [ 38%] tests/go/test_model.py::test_sage[g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[1-lstm-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 32%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g1-idtype1] PASSED [ 46%] tests/go/test_model.py::test_sage_block[g0] PASSED [ 53%] tests/go/test_model.py::test_sgc[g0] PASSED [ 61%] tests/go/test_model.py::test_bilinear PASSED [ 69%] tests/go/test_model.py::test_ele PASSED [ 76%] tests/go/test_model.py::test_ogbg_gin[True] PASSED [ 84%] tests/go/test_model.py::test_ogbg_gin[False] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv_bi[2-lstm-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sage_conv2[2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 92%] tests/go/test_model.py::test_pna PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 33%] tests/pytorch/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 33%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4483@8/python/dgl/backend/backend.py:1841: DeprecationWarning: invalid escape sequence \P """ ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:346 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): tests/go/test_model.py::test_gcn[g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg/dglgo/model/node_encoder/gcn.py:59: DGLWarning: The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size. dgl_warning("The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size.") tests/go/test_model.py::test_gat[g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg/dglgo/model/node_encoder/gat.py:72: DGLWarning: The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size. "The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size.") tests/go/test_model.py::test_gin[g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg/dglgo/model/node_encoder/gin.py:52: DGLWarning: The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size. "The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size.") tests/go/test_model.py::test_sage[g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg/dglgo/model/node_encoder/sage.py:52: DGLWarning: The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size. dgl_warning("The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size.") tests/go/test_model.py::test_sgc[g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg/dglgo/model/node_encoder/sgc.py:42: DGLWarning: The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size. dgl_warning("The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size.") -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html --- generated xml file: /root/jenkins/workspace/dgl_PR-4483@8/pytest_go.xml ---- ============================ slowest 100 durations ============================= 0.26s call tests/go/test_model.py::test_pna 0.10s call tests/go/test_model.py::test_ogbg_gin[True] 0.06s call tests/go/test_model.py::test_gcn[g0] 0.05s call tests/go/test_model.py::test_sgc[g0] 0.05s call tests/go/test_model.py::test_sage_block[g0] 0.04s call tests/go/test_model.py::test_gat[g0] 0.03s call tests/go/test_model.py::test_ogbg_gin[False] 0.03s call tests/go/test_model.py::test_sage[g0] 0.02s call tests/go/test_model.py::test_gin[g0] 0.01s call tests/go/test_model.py::test_gcn_block[g0] 0.01s call tests/go/test_model.py::test_gat_block[g0] (28 durations < 0.005s hidden. Use -vv to show these durations.) ======================= 13 passed, 15 warnings in 3.25s ======================== PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp3-g1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype0] [Pipeline] } [Pipeline] // timeout [Pipeline] } PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_appnp_conv_e_weight[g5-idtype1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype0] Client [3382] waits on 172.17.0.9:49561 Client [3386] waits on 172.17.0.9:41949 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g4-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[True-g5-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g0-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g1-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g2-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype0] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g3-idtype1] PASSED [ 34%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gcn2conv_e_weight[False-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype0] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 f045ac75f81cace7dd0197bdaa19fb68d892bed9f897dbd3aea1951f0c3f446b PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_sgconv_e_weight[g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g0-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_tagconv_e_weight[g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp1-g1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 35%] tests/pytorch/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g0-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g1-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g2-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g3-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g4-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g5-idtype1] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype0] PASSED [ 36%] tests/pytorch/test_nn.py::test_gine_conv[g6-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gine_conv[g7-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g4-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g5-idtype1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv[g6-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_agnn_conv_bi[g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g0-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g1-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g2-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype0] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g3-idtype1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype0] Client[1] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 37%] tests/pytorch/test_nn.py::test_gated_graph_conv[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gated_graph_conv_one_etype[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g3-idtype1] $ docker rm -f f045ac75f81cace7dd0197bdaa19fb68d892bed9f897dbd3aea1951f0c3f446b PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g4-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g5-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv[g6-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv_bi[g0-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_nn_conv_bi[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g0-idtype1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp3-g1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g1-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g2-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g3-idtype1] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype0] PASSED [ 38%] tests/pytorch/test_nn.py::test_gmm_conv[g4-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv[g5-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g0-idtype1] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g0] [Pipeline] } PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_gmm_conv_bi[g1-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-both-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-right-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g0-none-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-both-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-right-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g1-none-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-both-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-right-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g2-none-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-both-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-right-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g3-none-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-both-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-right-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g4-none-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-both-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype0] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-right-idtype1] PASSED [ 39%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g5-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g6-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[1-g7-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g0-none-idtype1] [Pipeline] // stage [Pipeline] } PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp4-g1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g1-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g2-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-both-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype0] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-right-idtype1] PASSED [ 40%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g4-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-both-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-right-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g5-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-both-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-right-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g6-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-both-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-right-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_graph_conv[2-g7-none-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g1-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g2-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g3-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g4-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g5-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g6-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g7-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g8-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[1-g9-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype0] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g0-idtype1] PASSED [ 41%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g6-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g7-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g8-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_dense_sage_conv[2-g9-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 42%] tests/pytorch/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp0-g1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g2-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype0] Server (0) shutdown. Server is exiting... PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-1-g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g0-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g1-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g2-idtype1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp1-g1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g3-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g4-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g5-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[1-2-g6-idtype1] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype0] PASSED [ 43%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp2-g1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g4-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-1-g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g0-idtype1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g2-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g3-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g4-idtype1] PASSED [ 31%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-1-4] Converting to homogeneous graph takes 0.002s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp3-g1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g5-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv[4-2-g6-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype0] PASSED [ 44%]PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-1-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[1-2-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g0-idtype1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-1-g1-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g0-idtype1] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype0] PASSED [ 44%] tests/pytorch/test_nn.py::test_dotgat_conv_bi[4-2-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_cheb_conv[1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp0-g1] PASSED [ 45%] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g0] server: #clients=2 load test start graph service on server 0 for part 0 [06:03:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:33] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:22403]... PASSED [ 45%] tests/pytorch/test_nn.py::test_sequential PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g1-idtype1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp1-g1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g3-idtype1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp2-g1] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g4-idtype1] [06:03:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 81%]PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_atomic_conv[g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g5-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g6-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[1-g7-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g0-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g1-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g2-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g3-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype0] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g4-idtype1] PASSED [ 45%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g5-idtype1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g0] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g6-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_cf_conv[3-g7-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-sum-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-max-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-min-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-mean-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-stack-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp3-g1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[False-myagg-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-sum-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-max-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-min-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-mean-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-stack-idtype1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype0] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_conv[True-myagg-idtype1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_linear[1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_linear[2] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_linear[100] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_embedding[1] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_embedding[2] PASSED [ 46%] tests/pytorch/test_nn.py::test_hetero_embedding[100] PASSED [ 46%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-e-shp4-g1] [06:03:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp0-g1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-u-shp4-g1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp1-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp3-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-v-shp4-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp0-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp1-g1] Client [3410] waits on 172.17.0.9:55375Client [3416] waits on 172.17.0.9:45307 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp2-g1] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g0] PASSED [ 46%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp3-g1] PASSED [ 46%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-v-e-shp4-g1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp0-g1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp2-g1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g1] Client[1] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g0] Server (0) shutdown. Server is exiting... PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp4-g1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-e-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp1-g1] PASSED [ 32%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-4-1] Converting to homogeneous graph takes 0.002s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g1] server: #clients=5 load test start graph service on server 0 for part 0 [06:03:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:12582]... PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] [06:03:49] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:49] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp1-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp4-g1] [06:03:50] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:50] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:03:50] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:50] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:03:50] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:50] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:03:50] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:03:50] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp0-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp1-g1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] PASSED [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] Client [3442] waits on 172.17.0.9:58771Client [3451] waits on 172.17.0.9:58161 Client [3450] waits on 172.17.0.9:53819 Client [3449] waits on 172.17.0.9:46425 Client [3448] waits on 172.17.0.9:41509 Machine (0) group (0) client (1) connect to server successfuly!Machine (0) group (0) client (0) connect to server successfuly!Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] Client[4] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] Client[1] in group[0] is exiting... PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] Client[2] in group[0] is exiting... PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] Client[3] in group[0] is exiting... PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g0] Server (0) shutdown. Server is exiting... PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp2-g1] PASSED [ 33%] tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-4-4] Converting to homogeneous graph takes 0.002s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 10000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] server: #clients=5 load test start graph service on server 0 for part 0 [06:04:00] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:00] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:28089]... PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] [06:04:01] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:01] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] [06:04:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:04:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] [06:04:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:04:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] Client [3510] waits on 172.17.0.9:59335Client [3504] waits on 172.17.0.9:54907 Client [3511] waits on 172.17.0.9:52105Client [3508] waits on 172.17.0.9:41523 Client [3509] waits on 172.17.0.9:44605 Machine (0) group (0) client (0) connect to server successfuly!Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-v-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] Client[3] in group[0] is exiting... Client[0] in group[0] is exiting... PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] Client[1] in group[0] is exiting... PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] Client[4] in group[0] is exiting... PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] Client[2] in group[0] is exiting... PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp0-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp1-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp2-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp3-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-e-shp4-g1] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] PASSED [ 47%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] Server (0) shutdown. Server is exiting... PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] PASSED [ 34%] tests/distributed/test_new_kvstore.py::test_partition_policy PASSED [ 34%] tests/distributed/test_new_kvstore.py::test_kv_store PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' Sleep 5 seconds to test client re-connect. /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' Sleep 5 seconds to test client re-connect. /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' [06:04:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' [06:04:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] PASSED [ 91%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-src-g0] PASSED [ 47%] tests/pytorch/test_nn.py::test_heterognnexplainer[1-5-idtype0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[sum] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 47%] tests/pytorch/test_nn.py::test_heterognnexplainer[2-5-idtype0-g0] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-1-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-8-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-16-idtype1] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype0] SKIPPED [ 92%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype2-0.003-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype3-0.0001-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-8] SKIPPED [ 93%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype0-0.01-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype1-0.02-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype2-0.003-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-1] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-8] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-16] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-64] SKIPPED [ 94%] tests/compute/test_sparse.py::test_gather_mm_idx_b[dtype3-0.0001-256] SKIPPED [ 94%] tests/compute/test_sparse.py::test_use_libxsmm_switch SKIPPED (Only ...) [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] [06:04:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19607]... [06:04:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19606]... PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] Client [3565] waits on 172.17.0.9:55327 Client [3566] waits on 172.17.0.9:42001 Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! ['data_2', 'data_0', 'data_0_1', 'data_0_3', 'data_1', 'data_0_2'] ['data_0_1', 'data_0', 'data_0_3', 'data_1', 'data_0_2', 'data_2'] PASSED [ 94%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] add... PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] add... Client[1] in group[0] is exiting... Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] Server (1) shutdown. Server is exiting... PASSED [ 35%] tests/distributed/test_new_kvstore.py::test_kv_multi_role /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' [06:04:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:21851]... [06:04:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:21850]... /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' [06:04:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:04:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:32] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] [06:04:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:04:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:04:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:04:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:34] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] Client [3615] waits on 172.17.0.9:43145 Client [3603] waits on 172.17.0.9:45845 Client [3604] waits on 172.17.0.9:33451Client [3614] waits on 172.17.0.9:37715Client [3620] waits on 172.17.0.9:51397Client [3619] waits on 172.17.0.9:48225 Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_jumping_knowledge PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_predictor[dot] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_predictor[cos] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_predictor[ele] PASSED [ 47%] tests/pytorch/test_nn.py::test_edge_predictor[cat] PASSED [ 47%] tests/pytorch/test_nn.py::test_ke_score_funcs PASSED [ 47%] tests/pytorch/test_nn.py::test_twirls PASSED [ 47%] tests/pytorch/test_nn.py::test_typed_linear[None-None-4] PASSED [ 47%] tests/pytorch/test_nn.py::test_typed_linear[None-None-32] PASSED [ 47%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-4] PASSED [ 47%] tests/pytorch/test_nn.py::test_typed_linear[basis-4-32] PASSED [ 47%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-4] PASSED [ 47%] tests/pytorch/test_nn.py::test_typed_linear[bdd-4-32] PASSED [ 47%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_hgt[1-4-idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_radius_graph[True-True] PASSED [ 47%] tests/pytorch/test_nn.py::test_radius_graph[True-False] PASSED [ 47%] tests/pytorch/test_nn.py::test_radius_graph[False-True] PASSED [ 47%] tests/pytorch/test_nn.py::test_radius_graph[False-False] PASSED [ 47%] tests/pytorch/test_nn.py::test_group_rev_res[idtype0] PASSED [ 47%] tests/pytorch/test_nn.py::test_group_rev_res[idtype1] PASSED [ 47%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-16-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[16-32-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-16-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[10-32-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-16-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_egnn_conv[0-32-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 48%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype1] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 49%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-16] [06:04:42] /root/jenkins/workspace/dgl_PR-4483@5/src/runtime/semaphore_wrapper.cc:75: sem_timedwait timed out after 5000 milliseconds. [06:04:42] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/network/socket_communicator.cc:278: Timed out when trying to receive rpc meta data after 5000 milliseconds. [06:04:42] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 5000 ms. Retrying ... i: 0 role: default trainer rank: 1, global rank: 1 Client[3] in group[0] is exiting... i: 1 role: default trainer rank: 0, global rank: 0 Client[0] in group[0] is exiting... Client[1] in group[0] is exiting... Client[4] in group[0] is exiting... Client[2] in group[0] is exiting... Client[5] in group[0] is exiting... PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-16] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device0] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device1] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device2] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device3] SKIPPED [ 95%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device1] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/gpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/gpu:0] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 36%] tests/distributed/test_partition.py::test_partition[None-True-1-1-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 37%] tests/distributed/test_partition.py::test_partition[None-True-1-1-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 38%] tests/distributed/test_partition.py::test_partition[None-True-1-4-metis] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:45] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 342 nodes and 250 are inside the partition part 0 has 335 edges and 270 are inside the partition part 1 has 327 nodes and 250 are inside the partition part 1 has 305 edges and 244 are inside the partition part 2 has 337 nodes and 250 are inside the partition part 2 has 319 edges and 257 are inside the partition part 3 has 340 nodes and 250 are inside the partition part 3 has 297 edges and 229 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:45] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.008s, peak mem: 1.852 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 39%] tests/distributed/test_partition.py::test_partition[None-True-1-4-random] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 633 nodes and 260 are inside the partition part 0 has 606 edges and 263 are inside the partition part 1 has 608 nodes and 239 are inside the partition part 1 has 568 edges and 239 are inside the partition part 2 has 638 nodes and 271 are inside the partition part 2 has 575 edges and 265 are inside the partition part 3 has 588 nodes and 230 are inside the partition part 3 has 520 edges and 233 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.009s, peak mem: 1.852 GB part 0 has 669 nodes of type n1 and 246 are inside the partition part 0 has 642 nodes of type n2 and 252 are inside the partition part 0 has 547 nodes of type n3 and 279 are inside the partition part 0 has 448 edges of type ('n1', 'r1', 'n2') and 277 are inside the partition part 0 has 480 edges of type ('n1', 'r2', 'n3') and 300 are inside the partition part 0 has 431 edges of type ('n2', 'r1', 'n1') and 239 are inside the partition part 0 has 443 edges of type ('n2', 'r3', 'n3') and 274 are inside the partition part 1 has 653 nodes of type n1 and 269 are inside the partition part 1 has 656 nodes of type n2 and 253 are inside the partition part 1 has 546 nodes of type n3 and 248 are inside the partition part 1 has 452 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 1 has 462 edges of type ('n1', 'r2', 'n3') and 261 are inside the partition part 1 has 437 edges of type ('n2', 'r1', 'n1') and 254 are inside the partition part 1 has 429 edges of type ('n2', 'r3', 'n3') and 236 are inside the partition part 2 has 619 nodes of type n1 and 254 are inside the partition part 2 has 653 nodes of type n2 and 261 are inside the partition part 2 has 542 nodes of type n3 and 223 are inside the partition part 2 has 453 edges of type ('n1', 'r1', 'n2') and 257 are inside the partition part 2 has 398 edges of type ('n1', 'r2', 'n3') and 205 are inside the partition part 2 has 426 edges of type ('n2', 'r1', 'n1') and 258 are inside the partition part 2 has 447 edges of type ('n2', 'r3', 'n3') and 228 are inside the partition part 3 has 634 nodes of type n1 and 231 are inside the partition part 3 has 656 nodes of type n2 and 244 are inside the partition part 3 has 576 nodes of type n3 and 270 are inside the partition part 3 has 417 edges of type ('n1', 'r1', 'n2') and 227 are inside the partition part 3 has 441 edges of type ('n1', 'r2', 'n3') and 254 are inside the partition part 3 has 446 edges of type ('n2', 'r1', 'n1') and 259 are inside the partition part 3 has 480 edges of type ('n2', 'r3', 'n3') and 292 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 39%] tests/distributed/test_partition.py::test_partition[None-True-4-1-metis] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected PASSED [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_graph Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:45] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:46] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 40%] tests/distributed/test_partition.py::test_partition[None-True-4-1-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:46] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:46] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 41%] tests/distributed/test_partition.py::test_partition[None-True-4-4-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:46] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.852 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:46] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.018 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.020s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.008s, peak mem: 1.852 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 42%] tests/distributed/test_partition.py::test_partition[None-True-4-4-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 609 nodes and 255 are inside the partition part 0 has 548 edges and 248 are inside the partition part 1 has 648 nodes and 264 are inside the partition part 1 has 611 edges and 290 are inside the partition part 2 has 590 nodes and 227 are inside the partition part 2 has 525 edges and 221 are inside the partition part 3 has 616 nodes and 254 are inside the partition part 3 has 567 edges and 241 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.009s, peak mem: 1.852 GB part 0 has 671 nodes of type n1 and 254 are inside the partition part 0 has 654 nodes of type n2 and 268 are inside the partition part 0 has 586 nodes of type n3 and 273 are inside the partition part 0 has 434 edges of type ('n1', 'r1', 'n2') and 247 are inside the partition part 0 has 471 edges of type ('n1', 'r2', 'n3') and 284 are inside the partition part 0 has 448 edges of type ('n2', 'r1', 'n1') and 246 are inside the partition part 0 has 483 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 1 has 637 nodes of type n1 and 254 are inside the partition part 1 has 645 nodes of type n2 and 240 are inside the partition part 1 has 571 nodes of type n3 and 257 are inside the partition part 1 has 443 edges of type ('n1', 'r1', 'n2') and 263 are inside the partition part 1 has 459 edges of type ('n1', 'r2', 'n3') and 239 are inside the partition part 1 has 441 edges of type ('n2', 'r1', 'n1') and 264 are inside the partition part 1 has 435 edges of type ('n2', 'r3', 'n3') and 252 are inside the partition part 2 has 681 nodes of type n1 and 232 are inside the partition part 2 has 639 nodes of type n2 and 268 are inside the partition part 2 has 529 nodes of type n3 and 246 are inside the partition part 2 has 458 edges of type ('n1', 'r1', 'n2') and 289 are inside the partition part 2 has 443 edges of type ('n1', 'r2', 'n3') and 278 are inside the partition part 2 has 440 edges of type ('n2', 'r1', 'n1') and 220 are inside the partition part 2 has 458 edges of type ('n2', 'r3', 'n3') and 265 are inside the partition part 3 has 627 nodes of type n1 and 260 are inside the partition part 3 has 660 nodes of type n2 and 234 are inside the partition part 3 has 546 nodes of type n3 and 244 are inside the partition part 3 has 434 edges of type ('n1', 'r1', 'n2') and 211 are inside the partition part 3 has 423 edges of type ('n1', 'r2', 'n3') and 219 are inside the partition part 3 has 444 edges of type ('n2', 'r1', 'n1') and 280 are inside the partition part 3 has 429 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 43%] tests/distributed/test_partition.py::test_partition[None-False-1-1-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 96%] tests/compute/test_transform.py::test_khop_adj PASSED [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 43%] tests/distributed/test_partition.py::test_partition[None-False-1-1-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 96%] tests/compute/test_transform.py::test_partition_with_halo Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 44%] tests/distributed/test_partition.py::test_partition[None-False-1-4-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:47] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.852 GB part 0 has 342 nodes and 250 are inside the partition part 0 has 335 edges and 270 are inside the partition part 1 has 327 nodes and 250 are inside the partition part 1 has 305 edges and 244 are inside the partition part 2 has 337 nodes and 250 are inside the partition part 2 has 319 edges and 257 are inside the partition part 3 has 340 nodes and 250 are inside the partition part 3 has 297 edges and 229 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:47] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.008s, peak mem: 1.852 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.852 GB PASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 45%] tests/distributed/test_partition.py::test_partition[None-False-1-4-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 622 nodes and 257 are inside the partition part 0 has 562 edges and 261 are inside the partition part 1 has 600 nodes and 236 are inside the partition part 1 has 537 edges and 227 are inside the partition part 2 has 622 nodes and 259 are inside the partition part 2 has 587 edges and 269 are inside the partition part 3 has 599 nodes and 248 are inside the partition part 3 has 539 edges and 243 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.009s, peak mem: 1.852 GB part 0 has 663 nodes of type n1 and 250 are inside the partition part 0 has 657 nodes of type n2 and 255 are inside the partition part 0 has 557 nodes of type n3 and 262 are inside the partition part 0 has 417 edges of type ('n1', 'r1', 'n2') and 231 are inside the partition part 0 has 456 edges of type ('n1', 'r2', 'n3') and 268 are inside the partition part 0 has 462 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 0 has 489 edges of type ('n2', 'r3', 'n3') and 288 are inside the partition part 1 has 651 nodes of type n1 and 257 are inside the partition part 1 has 665 nodes of type n2 and 257 are inside the partition part 1 has 541 nodes of type n3 and 258 are inside the partition part 1 has 464 edges of type ('n1', 'r1', 'n2') and 261 are inside the partition part 1 has 439 edges of type ('n1', 'r2', 'n3') and 255 are inside the partition part 1 has 447 edges of type ('n2', 'r1', 'n1') and 268 are inside the partition part 1 has 435 edges of type ('n2', 'r3', 'n3') and 252 are inside the partition part 2 has 652 nodes of type n1 and 240 are inside the partition part 2 has 635 nodes of type n2 and 240 are inside the partition part 2 has 565 nodes of type n3 and 267 are inside the partition part 2 has 464 edges of type ('n1', 'r1', 'n2') and 266 are inside the partition part 2 has 471 edges of type ('n1', 'r2', 'n3') and 268 are inside the partition part 2 has 407 edges of type ('n2', 'r1', 'n1') and 240 are inside the partition part 2 has 429 edges of type ('n2', 'r3', 'n3') and 256 are inside the partition part 3 has 634 nodes of type n1 and 253 are inside the partition part 3 has 652 nodes of type n2 and 258 are inside the partition part 3 has 541 nodes of type n3 and 233 are inside the partition part 3 has 434 edges of type ('n1', 'r1', 'n2') and 252 are inside the partition part 3 has 427 edges of type ('n1', 'r2', 'n3') and 229 are inside the partition part 3 has 427 edges of type ('n2', 'r1', 'n1') and 240 are inside the partition part 3 has 426 edges of type ('n2', 'r3', 'n3') and 234 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 46%] tests/distributed/test_partition.py::test_partition[None-False-4-1-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:47] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:47] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 47%] tests/distributed/test_partition.py::test_partition[None-False-4-1-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:48] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:48] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.008s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 47%] tests/distributed/test_partition.py::test_partition[None-False-4-4-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:48] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.852 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partitionPASSED [ 50%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 96%] tests/compute/test_transform.py::test_metis_partition[idtype0] part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:48] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.017 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.019s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.008s, peak mem: 1.852 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 48%] tests/distributed/test_partition.py::test_partition[None-False-4-4-random] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 96%] tests/compute/test_transform.py::test_metis_partition[idtype1] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 610 nodes and 240 are inside the partition part 0 has 561 edges and 261 are inside the partition part 1 has 613 nodes and 262 are inside the partition part 1 has 556 edges and 234 are inside the partition part 2 has 594 nodes and 243 are inside the partition part 2 has 542 edges and 227 are inside the partition part 3 has 626 nodes and 255 are inside the partition part 3 has 594 edges and 278 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.009s, peak mem: 1.852 GB part 0 has 693 nodes of type n1 and 230 are inside the partition part 0 has 648 nodes of type n2 and 277 are inside the partition part 0 has 557 nodes of type n3 and 258 are inside the partition part 0 has 460 edges of type ('n1', 'r1', 'n2') and 294 are inside the partition part 0 has 444 edges of type ('n1', 'r2', 'n3') and 269 are inside the partition part 0 has 468 edges of type ('n2', 'r1', 'n1') and 238 are inside the partition part 0 has 457 edges of type ('n2', 'r3', 'n3') and 249 are inside the partition part 1 has 691 nodes of type n1 and 275 are inside the partition part 1 has 669 nodes of type n2 and 253 are inside the partition part 1 has 547 nodes of type n3 and 249 are inside the partition part 1 has 449 edges of type ('n1', 'r1', 'n2') and 241 are inside the partition part 1 has 452 edges of type ('n1', 'r2', 'n3') and 273 are inside the partition part 1 has 475 edges of type ('n2', 'r1', 'n1') and 272 are inside the partition part 1 has 449 edges of type ('n2', 'r3', 'n3') and 242 are inside the partition part 2 has 624 nodes of type n1 and 234 are inside the partition part 2 has 642 nodes of type n2 and 237 are inside the partition part 2 has 545 nodes of type n3 and 253 are inside the partition part 2 has 409 edges of type ('n1', 'r1', 'n2') and 229 are inside the partition part 2 has 413 edges of type ('n1', 'r2', 'n3') and 219 are inside the partition part 2 has 416 edges of type ('n2', 'r1', 'n1') and 244 are inside the partition part 2 has 444 edges of type ('n2', 'r3', 'n3') and 274 are inside the partition part 3 has 639 nodes of type n1 and 261 are inside the partition part 3 has 675 nodes of type n2 and 243 are inside the partition part 3 has 557 nodes of type n3 and 260 are inside the partition part 3 has 467 edges of type ('n1', 'r1', 'n2') and 246 are inside the partition part 3 has 456 edges of type ('n1', 'r2', 'n3') and 259 are inside the partition part 3 has 439 edges of type ('n2', 'r1', 'n1') and 256 are inside the partition part 3 has 446 edges of type ('n2', 'r3', 'n3') and 265 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 49%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-1-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 50%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-1-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 51%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-4-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:49] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.852 GB part 0 has 342 nodes and 250 are inside the partition part 0 has 335 edges and 270 are inside the partition part 1 has 327 nodes and 250 are inside the partition part 1 has 305 edges and 244 are inside the partition part 2 has 337 nodes and 250 are inside the partition part 2 has 319 edges and 257 are inside the partition part 3 has 340 nodes and 250 are inside the partition part 3 has 297 edges and 229 are inside the partition Save partitions: 0.005 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:49] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.008s, peak mem: 1.852 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.010 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 52%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-4-random] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.852 GB part 0 has 625 nodes and 246 are inside the partition part 0 has 568 edges and 266 are inside the partition part 1 has 622 nodes and 255 are inside the partition part 1 has 587 edges and 273 are inside the partition part 2 has 602 nodes and 242 are inside the partition part 2 has 539 edges and 224 are inside the partition part 3 has 616 nodes and 257 are inside the partition part 3 has 548 edges and 237 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-16] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.009s, peak mem: 1.852 GB part 0 has 641 nodes of type n1 and 249 are inside the partition part 0 has 647 nodes of type n2 and 236 are inside the partition part 0 has 551 nodes of type n3 and 270 are inside the partition part 0 has 439 edges of type ('n1', 'r1', 'n2') and 239 are inside the partition part 0 has 472 edges of type ('n1', 'r2', 'n3') and 295 are inside the partition part 0 has 430 edges of type ('n2', 'r1', 'n1') and 258 are inside the partition part 0 has 448 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 1 has 662 nodes of type n1 and 255 are inside the partition part 1 has 668 nodes of type n2 and 264 are inside the partition part 1 has 545 nodes of type n3 and 247 are inside the partition part 1 has 435 edges of type ('n1', 'r1', 'n2') and 244 are inside the partition part 1 has 445 edges of type ('n1', 'r2', 'n3') and 260 are inside the partition part 1 has 462 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 1 has 449 edges of type ('n2', 'r3', 'n3') and 259 are inside the partition part 2 has 607 nodes of type n1 and 228 are inside the partition part 2 has 641 nodes of type n2 and 256 are inside the partition part 2 has 545 nodes of type n3 and 236 are inside the partition part 2 has 422 edges of type ('n1', 'r1', 'n2') and 243 are inside the partition part 2 has 410 edges of type ('n1', 'r2', 'n3') and 229 are inside the partition part 2 has 431 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 2 has 450 edges of type ('n2', 'r3', 'n3') and 231 are inside the partition part 3 has 665 nodes of type n1 and 268 are inside the partition part 3 has 649 nodes of type n2 and 254 are inside the partition part 3 has 551 nodes of type n3 and 267 are inside the partition part 3 has 472 edges of type ('n1', 'r1', 'n2') and 284 are inside the partition part 3 has 427 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 447 edges of type ('n2', 'r1', 'n1') and 248 are inside the partition part 3 has 446 edges of type ('n2', 'r3', 'n3') and 272 are inside the partition Save partitions: 0.010 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 52%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-1-metis] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:49] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:49] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 53%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-1-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:49] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:49] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 54%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-4-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:49] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:50] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.014 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.015s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.852 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 55%] tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-4-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 575 nodes and 228 are inside the partition part 0 has 518 edges and 217 are inside the partition part 1 has 624 nodes and 243 are inside the partition part 1 has 559 edges and 237 are inside the partition part 2 has 635 nodes and 265 are inside the partition part 2 has 604 edges and 279 are inside the partition part 3 has 638 nodes and 264 are inside the partition part 3 has 576 edges and 267 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 646 nodes of type n1 and 250 are inside the partition part 0 has 657 nodes of type n2 and 262 are inside the partition part 0 has 573 nodes of type n3 and 265 are inside the partition part 0 has 442 edges of type ('n1', 'r1', 'n2') and 252 are inside the partition part 0 has 470 edges of type ('n1', 'r2', 'n3') and 286 are inside the partition part 0 has 447 edges of type ('n2', 'r1', 'n1') and 252 are inside the partition part 0 has 456 edges of type ('n2', 'r3', 'n3') and 249 are inside the partition part 1 has 643 nodes of type n1 and 279 are inside the partition part 1 has 668 nodes of type n2 and 244 are inside the partition part 1 has 589 nodes of type n3 and 278 are inside the partition part 1 has 481 edges of type ('n1', 'r1', 'n2') and 241 are inside the partition part 1 has 481 edges of type ('n1', 'r2', 'n3') and 273 are inside the partition part 1 has 454 edges of type ('n2', 'r1', 'n1') and 281 are inside the partition part 1 has 443 edges of type ('n2', 'r3', 'n3') and 258 are inside the partition part 2 has 644 nodes of type n1 and 238 are inside the partition part 2 has 618 nodes of type n2 and 245 are inside the partition part 2 has 537 nodes of type n3 and 244 are inside the partition part 2 has 450 edges of type ('n1', 'r1', 'n2') and 285 are inside the partition part 2 has 432 edges of type ('n1', 'r2', 'n3') and 255 are inside the partition part 2 has 410 edges of type ('n2', 'r1', 'n1') and 241 are inside the partition part 2 has 454 edges of type ('n2', 'r3', 'n3') and 255 are inside the partition part 3 has 628 nodes of type n1 and 233 are inside the partition part 3 has 636 nodes of type n2 and 259 are inside the partition part 3 has 530 nodes of type n3 and 233 are inside the partition part 3 has 396 edges of type ('n1', 'r1', 'n2') and 232 are inside the partition part 3 has 390 edges of type ('n1', 'r2', 'n3') and 206 are inside the partition part 3 has 437 edges of type ('n2', 'r1', 'n1') and 236 are inside the partition part 3 has 455 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 56%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-1-1-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 56%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-1-1-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 57%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-1-4-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:50] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 342 nodes and 250 are inside the partition part 0 has 335 edges and 270 are inside the partition part 1 has 327 nodes and 250 are inside the partition part 1 has 305 edges and 244 are inside the partition part 2 has 337 nodes and 250 are inside the partition part 2 has 319 edges and 257 are inside the partition part 3 has 340 nodes and 250 are inside the partition part 3 has 297 edges and 229 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:50] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.852 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 58%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-1-4-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 635 nodes and 255 are inside the partition part 0 has 561 edges and 228 are inside the partition part 1 has 642 nodes and 259 are inside the partition part 1 has 592 edges and 256 are inside the partition part 2 has 608 nodes and 241 are inside the partition part 2 has 549 edges and 244 are inside the partition part 3 has 626 nodes and 245 are inside the partition part 3 has 594 edges and 272 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 652 nodes of type n1 and 259 are inside the partition part 0 has 665 nodes of type n2 and 265 are inside the partition part 0 has 580 nodes of type n3 and 257 are inside the partition part 0 has 441 edges of type ('n1', 'r1', 'n2') and 247 are inside the partition part 0 has 487 edges of type ('n1', 'r2', 'n3') and 269 are inside the partition part 0 has 442 edges of type ('n2', 'r1', 'n1') and 256 are inside the partition part 0 has 454 edges of type ('n2', 'r3', 'n3') and 250 are inside the partition part 1 has 646 nodes of type n1 and 263 are inside the partition part 1 has 650 nodes of type n2 and 231 are inside the partition part 1 has 561 nodes of type n3 and 256 are inside the partition part 1 has 443 edges of type ('n1', 'r1', 'n2') and 252 are inside the partition part 1 has 439 edges of type ('n1', 'r2', 'n3') and 242 are inside the partition part 1 has 416 edges of type ('n2', 'r1', 'n1') and 253 are inside the partition part 1 has 445 edges of type ('n2', 'r3', 'n3') and 259 are inside the partition part 2 has 620 nodes of type n1 and 214 are inside the partition part 2 has 642 nodes of type n2 and 245 are inside the partition part 2 has 534 nodes of type n3 and 257 are inside the partition part 2 has 419 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 2 has 421 edges of type ('n1', 'r2', 'n3') and 261 are inside the partition part 2 has 417 edges of type ('n2', 'r1', 'n1') and 230 are inside the partition part 2 has 449 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition part 3 has 663 nodes of type n1 and 264 are inside the partition part 3 has 652 nodes of type n2 and 269 are inside the partition part 3 has 580 nodes of type n3 and 250 are inside the partition part 3 has 464 edges of type ('n1', 'r1', 'n2') and 269 are inside the partition part 3 has 453 edges of type ('n1', 'r2', 'n3') and 248 are inside the partition part 3 has 465 edges of type ('n2', 'r1', 'n1') and 271 are inside the partition part 3 has 459 edges of type ('n2', 'r3', 'n3') and 246 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 59%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-1-metis] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-16] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:50] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:50] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 60%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-1-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:50] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:51] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 60%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-4-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:51] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:51] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.014 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.015s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.852 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 61%] tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-4-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 615 nodes and 246 are inside the partition part 0 has 573 edges and 264 are inside the partition part 1 has 590 nodes and 247 are inside the partition part 1 has 528 edges and 234 are inside the partition part 2 has 614 nodes and 249 are inside the partition part 2 has 539 edges and 231 are inside the partition part 3 has 639 nodes and 258 are inside the partition part 3 has 605 edges and 271 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 654 nodes of type n1 and 256 are inside the partition part 0 has 645 nodes of type n2 and 247 are inside the partition part 0 has 550 nodes of type n3 and 230 are inside the partition part 0 has 446 edges of type ('n1', 'r1', 'n2') and 241 are inside the partition part 0 has 460 edges of type ('n1', 'r2', 'n3') and 238 are inside the partition part 0 has 446 edges of type ('n2', 'r1', 'n1') and 256 are inside the partition part 0 has 406 edges of type ('n2', 'r3', 'n3') and 231 are inside the partition part 1 has 651 nodes of type n1 and 252 are inside the partition part 1 has 664 nodes of type n2 and 248 are inside the partition part 1 has 559 nodes of type n3 and 266 are inside the partition part 1 has 451 edges of type ('n1', 'r1', 'n2') and 263 are inside the partition part 1 has 430 edges of type ('n1', 'r2', 'n3') and 244 are inside the partition part 1 has 433 edges of type ('n2', 'r1', 'n1') and 248 are inside the partition part 1 has 475 edges of type ('n2', 'r3', 'n3') and 274 are inside the partition part 2 has 677 nodes of type n1 and 252 are inside the partition part 2 has 657 nodes of type n2 and 258 are inside the partition part 2 has 593 nodes of type n3 and 279 are inside the partition part 2 has 453 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 2 has 473 edges of type ('n1', 'r2', 'n3') and 285 are inside the partition part 2 has 446 edges of type ('n2', 'r1', 'n1') and 252 are inside the partition part 2 has 462 edges of type ('n2', 'r3', 'n3') and 252 are inside the partition part 3 has 646 nodes of type n1 and 240 are inside the partition part 3 has 665 nodes of type n2 and 257 are inside the partition part 3 has 550 nodes of type n3 and 245 are inside the partition part 3 has 448 edges of type ('n1', 'r1', 'n2') and 257 are inside the partition part 3 has 439 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 453 edges of type ('n2', 'r1', 'n1') and 254 are inside the partition part 3 has 466 edges of type ('n2', 'r3', 'n3') and 273 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 62%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-1-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 63%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-1-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 64%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-4-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:51] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 342 nodes and 250 are inside the partition part 0 has 335 edges and 270 are inside the partition part 1 has 327 nodes and 250 are inside the partition part 1 has 305 edges and 244 are inside the partition part 2 has 337 nodes and 250 are inside the partition part 2 has 319 edges and 257 are inside the partition part 3 has 340 nodes and 250 are inside the partition part 3 has 297 edges and 229 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:51] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 65%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-4-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.852 GB part 0 has 604 nodes and 238 are inside the partition part 0 has 551 edges and 244 are inside the partition part 1 has 558 nodes and 221 are inside the partition part 1 has 494 edges and 202 are inside the partition part 2 has 637 nodes and 262 are inside the partition part 2 has 575 edges and 258 are inside the partition part 3 has 667 nodes and 279 are inside the partition part 3 has 627 edges and 296 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.852 GB part 0 has 665 nodes of type n1 and 245 are inside the partition part 0 has 668 nodes of type n2 and 277 are inside the partition part 0 has 552 nodes of type n3 and 243 are inside the partition part 0 has 499 edges of type ('n1', 'r1', 'n2') and 305 are inside the partition part 0 has 416 edges of type ('n1', 'r2', 'n3') and 231 are inside the partition part 0 has 442 edges of type ('n2', 'r1', 'n1') and 225 are inside the partition part 0 has 479 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 1 has 639 nodes of type n1 and 277 are inside the partition part 1 has 683 nodes of type n2 and 252 are inside the partition part 1 has 563 nodes of type n3 and 257 are inside the partition part 1 has 454 edges of type ('n1', 'r1', 'n2') and 244 are inside the partition part 1 has 434 edges of type ('n1', 'r2', 'n3') and 244 are inside the partition part 1 has 456 edges of type ('n2', 'r1', 'n1') and 289 are inside the partition part 1 has 455 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 2 has 662 nodes of type n1 and 235 are inside the partition part 2 has 643 nodes of type n2 and 237 are inside the partition part 2 has 565 nodes of type n3 and 278 are inside the partition part 2 has 402 edges of type ('n1', 'r1', 'n2') and 245 are inside the partition part 2 has 460 edges of type ('n1', 'r2', 'n3') and 296 are inside the partition part 2 has 426 edges of type ('n2', 'r1', 'n1') and 241 are inside the partition part 2 has 457 edges of type ('n2', 'r3', 'n3') and 264 are inside the partition part 3 has 626 nodes of type n1 and 243 are inside the partition part 3 has 652 nodes of type n2 and 244 are inside the partition part 3 has 566 nodes of type n3 and 242 are inside the partition part 3 has 410 edges of type ('n1', 'r1', 'n2') and 216 are inside the partition part 3 has 456 edges of type ('n1', 'r2', 'n3') and 249 are inside the partition part 3 has 454 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 3 has 450 edges of type ('n2', 'r3', 'n3') and 246 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 65%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-1-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:52] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:52] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 66%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-1-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:52] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:52] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 67%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-4-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:52] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:52] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.015 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.017s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 68%] tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-4-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 593 nodes and 233 are inside the partition part 0 has 518 edges and 224 are inside the partition part 1 has 624 nodes and 252 are inside the partition part 1 has 583 edges and 264 are inside the partition part 2 has 651 nodes and 265 are inside the partition part 2 has 629 edges and 290 are inside the partition part 3 has 610 nodes and 250 are inside the partition part 3 has 538 edges and 222 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.852 GB PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-16] part 0 has 621 nodes of type n1 and 247 are inside the partition part 0 has 638 nodes of type n2 and 253 are inside the partition part 0 has 537 nodes of type n3 and 215 are inside the partition part 0 has 467 edges of type ('n1', 'r1', 'n2') and 251 are inside the partition part 0 has 396 edges of type ('n1', 'r2', 'n3') and 200 are inside the partition part 0 has 432 edges of type ('n2', 'r1', 'n1') and 253 are inside the partition part 0 has 418 edges of type ('n2', 'r3', 'n3') and 206 are inside the partition part 1 has 632 nodes of type n1 and 254 are inside the partition part 1 has 642 nodes of type n2 and 240 are inside the partition part 1 has 554 nodes of type n3 and 268 are inside the partition part 1 has 422 edges of type ('n1', 'r1', 'n2') and 229 are inside the partition part 1 has 428 edges of type ('n1', 'r2', 'n3') and 242 are inside the partition part 1 has 444 edges of type ('n2', 'r1', 'n1') and 271 are inside the partition part 1 has 435 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 2 has 677 nodes of type n1 and 253 are inside the partition part 2 has 654 nodes of type n2 and 257 are inside the partition part 2 has 553 nodes of type n3 and 248 are inside the partition part 2 has 429 edges of type ('n1', 'r1', 'n2') and 255 are inside the partition part 2 has 459 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 443 edges of type ('n2', 'r1', 'n1') and 240 are inside the partition part 2 has 462 edges of type ('n2', 'r3', 'n3') and 274 are inside the partition part 3 has 684 nodes of type n1 and 246 are inside the partition part 3 has 662 nodes of type n2 and 260 are inside the partition part 3 has 575 nodes of type n3 and 289 are inside the partition part 3 has 466 edges of type ('n1', 'r1', 'n2') and 275 are inside the partition part 3 has 506 edges of type ('n1', 'r2', 'n3') and 321 are inside the partition part 3 has 446 edges of type ('n2', 'r1', 'n1') and 246 are inside the partition part 3 has 476 edges of type ('n2', 'r3', 'n3') and 293 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 69%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-1-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 69%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-1-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 70%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-4-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:52] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 342 nodes and 250 are inside the partition part 0 has 335 edges and 270 are inside the partition part 1 has 327 nodes and 250 are inside the partition part 1 has 305 edges and 244 are inside the partition part 2 has 337 nodes and 250 are inside the partition part 2 has 319 edges and 257 are inside the partition part 3 has 340 nodes and 250 are inside the partition part 3 has 297 edges and 229 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:52] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.852 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 71%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-4-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 565 nodes and 235 are inside the partition part 0 has 488 edges and 212 are inside the partition part 1 has 656 nodes and 272 are inside the partition part 1 has 598 edges and 292 are inside the partition part 2 has 584 nodes and 242 are inside the partition part 2 has 542 edges and 222 are inside the partition part 3 has 632 nodes and 251 are inside the partition part 3 has 601 edges and 274 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 51%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators2-32-32] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 664 nodes of type n1 and 261 are inside the partition part 0 has 660 nodes of type n2 and 264 are inside the partition part 0 has 576 nodes of type n3 and 251 are inside the partition part 0 has 448 edges of type ('n1', 'r1', 'n2') and 275 are inside the partition part 0 has 476 edges of type ('n1', 'r2', 'n3') and 256 are inside the partition part 0 has 464 edges of type ('n2', 'r1', 'n1') and 274 are inside the partition part 0 has 471 edges of type ('n2', 'r3', 'n3') and 277 are inside the partition part 1 has 670 nodes of type n1 and 268 are inside the partition part 1 has 675 nodes of type n2 and 253 are inside the partition part 1 has 580 nodes of type n3 and 268 are inside the partition part 1 has 466 edges of type ('n1', 'r1', 'n2') and 258 are inside the partition part 1 has 466 edges of type ('n1', 'r2', 'n3') and 249 are inside the partition part 1 has 465 edges of type ('n2', 'r1', 'n1') and 257 are inside the partition part 1 has 467 edges of type ('n2', 'r3', 'n3') and 282 are inside the partition part 2 has 643 nodes of type n1 and 250 are inside the partition part 2 has 662 nodes of type n2 and 251 are inside the partition part 2 has 562 nodes of type n3 and 252 are inside the partition part 2 has 426 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 2 has 425 edges of type ('n1', 'r2', 'n3') and 240 are inside the partition part 2 has 462 edges of type ('n2', 'r1', 'n1') and 279 are inside the partition part 2 has 437 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 626 nodes of type n1 and 221 are inside the partition part 3 has 634 nodes of type n2 and 242 are inside the partition part 3 has 528 nodes of type n3 and 249 are inside the partition part 3 has 424 edges of type ('n1', 'r1', 'n2') and 240 are inside the partition part 3 has 433 edges of type ('n1', 'r2', 'n3') and 275 are inside the partition part 3 has 392 edges of type ('n2', 'r1', 'n1') and 200 are inside the partition part 3 has 429 edges of type ('n2', 'r3', 'n3') and 241 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 72%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-1-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:53] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:53] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 73%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-1-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:53] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-32-32] Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:53] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 73%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-4-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:53] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:53] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.014 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.015s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.852 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 74%] tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-4-random] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 625 nodes and 259 are inside the partition part 0 has 574 edges and 247 are inside the partition part 1 has 607 nodes and 239 are inside the partition part 1 has 546 edges and 249 are inside the partition part 2 has 624 nodes and 256 are inside the partition part 2 has 572 edges and 268 are inside the partition part 3 has 583 nodes and 246 are inside the partition part 3 has 518 edges and 236 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 658 nodes of type n1 and 255 are inside the partition part 0 has 672 nodes of type n2 and 262 are inside the partition part 0 has 578 nodes of type n3 and 280 are inside the partition part 0 has 443 edges of type ('n1', 'r1', 'n2') and 257 are inside the partition part 0 has 441 edges of type ('n1', 'r2', 'n3') and 266 are inside the partition part 0 has 441 edges of type ('n2', 'r1', 'n1') and 254 are inside the partition part 0 has 503 edges of type ('n2', 'r3', 'n3') and 303 are inside the partition part 1 has 633 nodes of type n1 and 241 are inside the partition part 1 has 633 nodes of type n2 and 251 are inside the partition part 1 has 535 nodes of type n3 and 236 are inside the partition part 1 has 408 edges of type ('n1', 'r1', 'n2') and 243 are inside the partition part 1 has 424 edges of type ('n1', 'r2', 'n3') and 225 are inside the partition part 1 has 431 edges of type ('n2', 'r1', 'n1') and 237 are inside the partition part 1 has 442 edges of type ('n2', 'r3', 'n3') and 255 are inside the partition part 2 has 675 nodes of type n1 and 249 are inside the partition part 2 has 674 nodes of type n2 and 280 are inside the partition part 2 has 589 nodes of type n3 and 277 are inside the partition part 2 has 482 edges of type ('n1', 'r1', 'n2') and 276 are inside the partition part 2 has 480 edges of type ('n1', 'r2', 'n3') and 298 are inside the partition part 2 has 452 edges of type ('n2', 'r1', 'n1') and 246 are inside the partition part 2 has 464 edges of type ('n2', 'r3', 'n3') and 255 are inside the partition part 3 has 633 nodes of type n1 and 255 are inside the partition part 3 has 636 nodes of type n2 and 217 are inside the partition part 3 has 528 nodes of type n3 and 227 are inside the partition part 3 has 453 edges of type ('n1', 'r1', 'n2') and 234 are inside the partition part 3 has 419 edges of type ('n1', 'r2', 'n3') and 231 are inside the partition part 3 has 433 edges of type ('n2', 'r1', 'n1') and 273 are inside the partition part 3 has 395 edges of type ('n2', 'r3', 'n3') and 217 are inside the partition Save partitions: 0.007 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 75%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-1-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 76%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-1-random] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-16] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.002 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 77%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-4-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:54] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 342 nodes and 250 are inside the partition part 0 has 335 edges and 270 are inside the partition part 1 has 327 nodes and 250 are inside the partition part 1 has 305 edges and 244 are inside the partition part 2 has 337 nodes and 250 are inside the partition part 2 has 319 edges and 257 are inside the partition part 3 has 340 nodes and 250 are inside the partition part 3 has 297 edges and 229 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:54] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.852 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.008 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 78%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-4-random] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 647 nodes and 258 are inside the partition part 0 has 581 edges and 270 are inside the partition part 1 has 635 nodes and 250 are inside the partition part 1 has 585 edges and 255 are inside the partition part 2 has 609 nodes and 233 are inside the partition part 2 has 562 edges and 236 are inside the partition part 3 has 626 nodes and 259 are inside the partition part 3 has 560 edges and 239 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 648 nodes of type n1 and 255 are inside the partition part 0 has 656 nodes of type n2 and 249 are inside the partition part 0 has 567 nodes of type n3 and 267 are inside the partition part 0 has 409 edges of type ('n1', 'r1', 'n2') and 220 are inside the partition part 0 has 471 edges of type ('n1', 'r2', 'n3') and 279 are inside the partition part 0 has 463 edges of type ('n2', 'r1', 'n1') and 265 are inside the partition part 0 has 443 edges of type ('n2', 'r3', 'n3') and 252 are inside the partition part 1 has 653 nodes of type n1 and 249 are inside the partition part 1 has 644 nodes of type n2 and 231 are inside the partition part 1 has 559 nodes of type n3 and 273 are inside the partition part 1 has 435 edges of type ('n1', 'r1', 'n2') and 234 are inside the partition part 1 has 464 edges of type ('n1', 'r2', 'n3') and 273 are inside the partition part 1 has 432 edges of type ('n2', 'r1', 'n1') and 247 are inside the partition part 1 has 438 edges of type ('n2', 'r3', 'n3') and 269 are inside the partition part 2 has 652 nodes of type n1 and 238 are inside the partition part 2 has 649 nodes of type n2 and 269 are inside the partition part 2 has 578 nodes of type n3 and 264 are inside the partition part 2 has 480 edges of type ('n1', 'r1', 'n2') and 276 are inside the partition part 2 has 444 edges of type ('n1', 'r2', 'n3') and 259 are inside the partition part 2 has 420 edges of type ('n2', 'r1', 'n1') and 218 are inside the partition part 2 has 459 edges of type ('n2', 'r3', 'n3') and 259 are inside the partition part 3 has 642 nodes of type n1 and 258 are inside the partition part 3 has 681 nodes of type n2 and 261 are inside the partition part 3 has 539 nodes of type n3 and 216 are inside the partition part 3 has 469 edges of type ('n1', 'r1', 'n2') and 280 are inside the partition part 3 has 393 edges of type ('n1', 'r2', 'n3') and 209 are inside the partition part 3 has 471 edges of type ('n2', 'r1', 'n1') and 280 are inside the partition part 3 has 474 edges of type ('n2', 'r3', 'n3') and 250 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 78%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-1-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:54] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] [06:04:54] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.852 GB Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 79%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-1-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:54] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:54] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.852 GB Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 80%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-4-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:54] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:54] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.016 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.017s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.010 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 81%] tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-4-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 622 nodes and 261 are inside the partition part 0 has 575 edges and 260 are inside the partition part 1 has 616 nodes and 250 are inside the partition part 1 has 567 edges and 247 are inside the partition part 2 has 580 nodes and 241 are inside the partition part 2 has 518 edges and 238 are inside the partition part 3 has 608 nodes and 248 are inside the partition part 3 has 542 edges and 255 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.004 seconds Splitting the graph into partitions takes 0.007s, peak mem: 1.852 GB part 0 has 657 nodes of type n1 and 262 are inside the partition part 0 has 653 nodes of type n2 and 242 are inside the partition part 0 has 591 nodes of type n3 and 276 are inside the partition part 0 has 443 edges of type ('n1', 'r1', 'n2') and 223 are inside the partition part 0 has 479 edges of type ('n1', 'r2', 'n3') and 284 are inside the partition part 0 has 460 edges of type ('n2', 'r1', 'n1') and 271 are inside the partition part 0 has 471 edges of type ('n2', 'r3', 'n3') and 267 are inside the partition part 1 has 653 nodes of type n1 and 254 are inside the partition part 1 has 641 nodes of type n2 and 248 are inside the partition part 1 has 535 nodes of type n3 and 236 are inside the partition part 1 has 437 edges of type ('n1', 'r1', 'n2') and 253 are inside the partition part 1 has 441 edges of type ('n1', 'r2', 'n3') and 246 are inside the partition part 1 has 433 edges of type ('n2', 'r1', 'n1') and 254 are inside the partition part 1 has 430 edges of type ('n2', 'r3', 'n3') and 239 are inside the partition part 2 has 652 nodes of type n1 and 256 are inside the partition part 2 has 671 nodes of type n2 and 257 are inside the partition part 2 has 583 nodes of type n3 and 274 are inside the partition part 2 has 468 edges of type ('n1', 'r1', 'n2') and 270 are inside the partition part 2 has 453 edges of type ('n1', 'r2', 'n3') and 252 are inside the partition part 2 has 423 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 2 has 459 edges of type ('n2', 'r3', 'n3') and 290 are inside the partition part 3 has 646 nodes of type n1 and 228 are inside the partition part 3 has 621 nodes of type n2 and 263 are inside the partition part 3 has 528 nodes of type n3 and 234 are inside the partition part 3 has 433 edges of type ('n1', 'r1', 'n2') and 264 are inside the partition part 3 has 410 edges of type ('n1', 'r2', 'n3') and 238 are inside the partition part 3 has 448 edges of type ('n2', 'r1', 'n1') and 253 are inside the partition part 3 has 428 edges of type ('n2', 'r3', 'n3') and 234 are inside the partition Save partitions: 0.010 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 82%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-1-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 82%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-1-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 83%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-4-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:55] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 342 nodes and 250 are inside the partition part 0 has 335 edges and 270 are inside the partition part 1 has 327 nodes and 250 are inside the partition part 1 has 305 edges and 244 are inside the partition part 2 has 337 nodes and 250 are inside the partition part 2 has 319 edges and 257 are inside the partition part 3 has 340 nodes and 250 are inside the partition part 3 has 297 edges and 229 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:55] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 409 nodes of type n1 and 257 are inside the partition part 0 has 400 nodes of type n2 and 260 are inside the partition part 0 has 359 nodes of type n3 and 262 are inside the partition part 0 has 314 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 318 edges of type ('n1', 'r2', 'n3') and 267 are inside the partition part 0 has 325 edges of type ('n2', 'r1', 'n1') and 263 are inside the partition part 0 has 312 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition part 1 has 402 nodes of type n1 and 254 are inside the partition part 1 has 400 nodes of type n2 and 257 are inside the partition part 1 has 343 nodes of type n3 and 256 are inside the partition part 1 has 326 edges of type ('n1', 'r1', 'n2') and 268 are inside the partition part 1 has 287 edges of type ('n1', 'r2', 'n3') and 243 are inside the partition part 1 has 314 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 1 has 313 edges of type ('n2', 'r3', 'n3') and 268 are inside the partition part 2 has 371 nodes of type n1 and 237 are inside the partition part 2 has 362 nodes of type n2 and 233 are inside the partition part 2 has 320 nodes of type n3 and 240 are inside the partition part 2 has 272 edges of type ('n1', 'r1', 'n2') and 219 are inside the partition part 2 has 301 edges of type ('n1', 'r2', 'n3') and 257 are inside the partition part 2 has 308 edges of type ('n2', 'r1', 'n1') and 255 are inside the partition part 2 has 269 edges of type ('n2', 'r3', 'n3') and 230 are inside the partition part 3 has 381 nodes of type n1 and 252 are inside the partition part 3 has 418 nodes of type n2 and 260 are inside the partition part 3 has 348 nodes of type n3 and 262 are inside the partition part 3 has 333 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 300 edges of type ('n1', 'r2', 'n3') and 253 are inside the partition part 3 has 277 edges of type ('n2', 'r1', 'n1') and 231 are inside the partition part 3 has 315 edges of type ('n2', 'r3', 'n3') and 275 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 84%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-4-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 622 nodes and 259 are inside the partition part 0 has 553 edges and 253 are inside the partition part 1 has 633 nodes and 246 are inside the partition part 1 has 589 edges and 255 are inside the partition part 2 has 608 nodes and 241 are inside the partition part 2 has 553 edges and 252 are inside the partition part 3 has 625 nodes and 254 are inside the partition part 3 has 569 edges and 240 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 669 nodes of type n1 and 230 are inside the partition part 0 has 632 nodes of type n2 and 247 are inside the partition part 0 has 558 nodes of type n3 and 275 are inside the partition part 0 has 419 edges of type ('n1', 'r1', 'n2') and 249 are inside the partition part 0 has 459 edges of type ('n1', 'r2', 'n3') and 295 are inside the partition part 0 has 428 edges of type ('n2', 'r1', 'n1') and 224 are inside the partition part 0 has 461 edges of type ('n2', 'r3', 'n3') and 289 are inside the partition part 1 has 623 nodes of type n1 and 245 are inside the partition part 1 has 661 nodes of type n2 and 267 are inside the partition part 1 has 566 nodes of type n3 and 237 are inside the partition part 1 has 416 edges of type ('n1', 'r1', 'n2') and 228 are inside the partition part 1 has 412 edges of type ('n1', 'r2', 'n3') and 230 are inside the partition part 1 has 448 edges of type ('n2', 'r1', 'n1') and 251 are inside the partition part 1 has 476 edges of type ('n2', 'r3', 'n3') and 237 are inside the partition part 2 has 664 nodes of type n1 and 265 are inside the partition part 2 has 662 nodes of type n2 and 236 are inside the partition part 2 has 580 nodes of type n3 and 262 are inside the partition part 2 has 465 edges of type ('n1', 'r1', 'n2') and 259 are inside the partition part 2 has 465 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 434 edges of type ('n2', 'r1', 'n1') and 261 are inside the partition part 2 has 449 edges of type ('n2', 'r3', 'n3') and 253 are inside the partition part 3 has 671 nodes of type n1 and 260 are inside the partition part 3 has 688 nodes of type n2 and 260 are inside the partition part 3 has 567 nodes of type n3 and 246 are inside the partition part 3 has 480 edges of type ('n1', 'r1', 'n2') and 274 are inside the partition part 3 has 455 edges of type ('n1', 'r2', 'n3') and 244 are inside the partition part 3 has 443 edges of type ('n2', 'r1', 'n1') and 274 are inside the partition part 3 has 435 edges of type ('n2', 'r3', 'n3') and 251 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 85%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-1-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:55] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:55] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.852 GB Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 86%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-1-random] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:55] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 4 parts and get 106 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.852 GB Save partitions: 0.001 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:55] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 4 parts and get 814 edge cuts Metis partitioning: 0.005 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.852 GB Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 1 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 86%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-4-metis] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:55] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 1000 nodes and 1997 edges into 16 parts and get 174 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 328 nodes and 250 are inside the partition part 0 has 285 edges and 231 are inside the partition part 1 has 331 nodes and 251 are inside the partition part 1 has 303 edges and 245 are inside the partition part 2 has 339 nodes and 249 are inside the partition part 2 has 324 edges and 256 are inside the partition part 3 has 329 nodes and 250 are inside the partition part 3 has 333 edges and 268 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.852 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.852 GB [06:04:55] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 3030 nodes and 8140 edges into 16 parts and get 1176 edge cuts Metis partitioning: 0.014 seconds, peak memory: 1.852 GB Assigning nodes to METIS partitions takes 0.015s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.852 GB part 0 has 395 nodes of type n1 and 242 are inside the partition part 0 has 405 nodes of type n2 and 258 are inside the partition part 0 has 361 nodes of type n3 and 258 are inside the partition part 0 has 304 edges of type ('n1', 'r1', 'n2') and 242 are inside the partition part 0 has 303 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 0 has 310 edges of type ('n2', 'r1', 'n1') and 249 are inside the partition part 0 has 324 edges of type ('n2', 'r3', 'n3') and 263 are inside the partition PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] part 1 has 417 nodes of type n1 and 253 are inside the partition part 1 has 417 nodes of type n2 and 257 are inside the partition part 1 has 373 nodes of type n3 and 259 are inside the partition part 1 has 338 edges of type ('n1', 'r1', 'n2') and 281 are inside the partition part 1 has 341 edges of type ('n1', 'r2', 'n3') and 282 are inside the partition part 1 has 299 edges of type ('n2', 'r1', 'n1') and 232 are inside the partition part 1 has 335 edges of type ('n2', 'r3', 'n3') and 266 are inside the partition part 2 has 401 nodes of type n1 and 252 are inside the partition part 2 has 395 nodes of type n2 and 246 are inside the partition part 2 has 339 nodes of type n3 and 249 are inside the partition part 2 has 296 edges of type ('n1', 'r1', 'n2') and 250 are inside the partition part 2 has 305 edges of type ('n1', 'r2', 'n3') and 251 are inside the partition part 2 has 320 edges of type ('n2', 'r1', 'n1') and 262 are inside the partition part 2 has 303 edges of type ('n2', 'r3', 'n3') and 254 are inside the partition part 3 has 389 nodes of type n1 and 253 are inside the partition part 3 has 395 nodes of type n2 and 249 are inside the partition part 3 has 330 nodes of type n3 and 254 are inside the partition part 3 has 303 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 3 has 276 edges of type ('n1', 'r2', 'n3') and 236 are inside the partition part 3 has 325 edges of type ('n2', 'r1', 'n1') and 267 are inside the partition part 3 has 288 edges of type ('n2', 'r3', 'n3') and 247 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 87%] tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-4-random] Converting to homogeneous graph takes 0.000s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.852 GB part 0 has 580 nodes and 242 are inside the partition part 0 has 525 edges and 231 are inside the partition part 1 has 630 nodes and 258 are inside the partition part 1 has 572 edges and 261 are inside the partition part 2 has 622 nodes and 258 are inside the partition part 2 has 576 edges and 259 are inside the partition part 3 has 602 nodes and 242 are inside the partition part 3 has 545 edges and 249 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.852 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.852 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.006s, peak mem: 1.852 GB part 0 has 647 nodes of type n1 and 257 are inside the partition part 0 has 651 nodes of type n2 and 254 are inside the partition part 0 has 555 nodes of type n3 and 240 are inside the partition part 0 has 438 edges of type ('n1', 'r1', 'n2') and 237 are inside the partition part 0 has 436 edges of type ('n1', 'r2', 'n3') and 233 are inside the partition part 0 has 455 edges of type ('n2', 'r1', 'n1') and 248 are inside the partition part 0 has 470 edges of type ('n2', 'r3', 'n3') and 256 are inside the partition part 1 has 637 nodes of type n1 and 252 are inside the partition part 1 has 648 nodes of type n2 and 251 are inside the partition part 1 has 559 nodes of type n3 and 255 are inside the partition part 1 has 425 edges of type ('n1', 'r1', 'n2') and 239 are inside the partition part 1 has 436 edges of type ('n1', 'r2', 'n3') and 252 are inside the partition part 1 has 447 edges of type ('n2', 'r1', 'n1') and 257 are inside the partition part 1 has 419 edges of type ('n2', 'r3', 'n3') and 224 are inside the partition part 2 has 628 nodes of type n1 and 227 are inside the partition part 2 has 650 nodes of type n2 and 262 are inside the partition part 2 has 550 nodes of type n3 and 274 are inside the partition part 2 has 418 edges of type ('n1', 'r1', 'n2') and 261 are inside the partition part 2 has 438 edges of type ('n1', 'r2', 'n3') and 263 are inside the partition part 2 has 428 edges of type ('n2', 'r1', 'n1') and 225 are inside the partition part 2 has 463 edges of type ('n2', 'r3', 'n3') and 293 are inside the partition part 3 has 653 nodes of type n1 and 264 are inside the partition part 3 has 669 nodes of type n2 and 243 are inside the partition part 3 has 559 nodes of type n3 and 251 are inside the partition part 3 has 487 edges of type ('n1', 'r1', 'n2') and 273 are inside the partition part 3 has 463 edges of type ('n1', 'r2', 'n3') and 272 are inside the partition part 3 has 455 edges of type ('n2', 'r1', 'n1') and 280 are inside the partition part 3 has 449 edges of type ('n2', 'r3', 'n3') and 257 are inside the partition Save partitions: 0.009 seconds, peak memory: 1.852 GB There are 4070 edges in the graph and 0 edge cuts for 4 partitions. node n1: 1000, 1000 node n2: 1010, 1010 node n3: 1020, 1020 edge ('n1', 'r1', 'n2'): 1010, 1010 edge ('n1', 'r2', 'n3'): 1020, 1020 edge ('n2', 'r1', 'n1'): 1010, 1010 edge ('n2', 'r3', 'n3'): 1030, 1030 PASSED [ 88%] tests/distributed/test_partition.py::test_RangePartitionBook PASSED [ 89%] tests/distributed/test_partition.py::test_UnknownPartitionBook PASSED [ 90%] tests/distributed/test_rpc.py::test_rpc_timeout[socket] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_nodes PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] Sleep 1 seconds to test client re-connect. [06:04:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 52%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] Start server 0 [06:04:58] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:04:58] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:28918]... PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] SKIPPED (...) [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] SKIPPED (...) [ 97%]PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype1] SKIPPED (O...) [ 98%]PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-16] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_drop_node[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] SKIPPED (Only ...) [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_shortest_dist[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_shortest_dist[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_to_levi[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_to_levi[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%]PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 53%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers0-aggregators2-32-32] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/backend/backend.py:1841: DeprecationWarning: invalid escape sequence \P """ ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class IteratorBase(collections.Iterator, trackable.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class DatasetV2(collections.Iterable, tracking_base.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead. 'nearest': pil_image.NEAREST, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead. 'bilinear': pil_image.BILINEAR, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead. 'bicubic': pil_image.BICUBIC, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. if hasattr(pil_image, 'HAMMING'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. _PIL_INTERPOLATION_METHODS['hamming'] = pil_image.HAMMING ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. if hasattr(pil_image, 'BOX'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. _PIL_INTERPOLATION_METHODS['box'] = pil_image.BOX ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. if hasattr(pil_image, 'LANCZOS'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. _PIL_INTERPOLATION_METHODS['lanczos'] = pil_image.LANCZOS tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_serialize.py: 10 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 10 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py::test_update_all_0deg[idtype0] tests/compute/test_basics.py::test_update_all_0deg[idtype1] tests/compute/test_basics.py::test_pull_0deg[idtype0] tests/compute/test_basics.py::test_pull_0deg[idtype1] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/core.py:85: DGLWarning: The input graph for the user-defined edge function does not contain valid edges "The input graph for the user-defined edge function " tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/heterograph_index.py:858: FutureWarning: Adjacency matrix by default currently returns edge IDs. As a result there is one 0 entry which is not eliminated. In the next release it will return 1s by default, and 0 will be eliminated otherwise. FutureWarning, tests/compute/test_data.py::test_citation_graph /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/data/citation_graph.py:262: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/numpy/lib/arraysetops.py:565: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison mask &= (ar1 != a) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/data/csv_dataset_base.py:379: DGLWarning: Unamed column is found. Ignored... dgl_warning("Unamed column is found. Ignored...") tests/compute/test_graph.py::test_query /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4483@5/tests/compute/test_heterograph.py:1128: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(src_i)) == nid[src[i]] tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4483@5/tests/compute/test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/sampling/negative.py:118: ComplexWarning: Casting complex values to real discards the imaginary part redundancy, tests/compute/test_serialize.py: 10 warnings tests/compute/test_transform.py: 1 warning /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/data/graph_serialize.py:196: DGLWarning: You are loading a graph file saved by old version of dgl. Please consider saving it again with the current format. Please consider saving it again with the current format." tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/transforms/functional.py:1263: DGLWarning: share_ndata argument has been renamed to copy_ndata. dgl_warning('share_ndata argument has been renamed to copy_ndata.') tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/transforms/functional.py:1266: DGLWarning: share_edata argument has been renamed to copy_edata. dgl_warning('share_edata argument has been renamed to copy_edata.') tests/compute/test_transform.py::test_simple_graph /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/transforms/functional.py:1315: DGLWarning: dgl.to_simple_graph is renamed to dgl.to_simple in v0.5. dgl_warning('dgl.to_simple_graph is renamed to dgl.to_simple in v0.5.') -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4483@5/pytest_compute.xml - ============================ slowest 100 durations ============================= 173.62s call tests/compute/test_kernel.py::test_all_binary_builtins 155.30s call tests/compute/test_data.py::test_reddit 130.59s call tests/compute/test_data.py::test_fakenews 54.17s call tests/compute/test_data.py::test_gin 52.09s call tests/compute/test_data.py::test_explain_syn 37.55s call tests/compute/test_data.py::test_as_graphpred 11.00s call tests/compute/test_data.py::test_tudataset_regression 10.58s call tests/compute/test_data.py::test_gnn_benchmark 9.71s call tests/compute/test_data.py::test_as_graphpred_reprocess 7.17s call tests/compute/test_data.py::test_wiki_cs 6.99s call tests/compute/test_transform.py::test_metis_partition[idtype1] 5.93s call tests/compute/test_data.py::test_fraud 5.64s call tests/compute/test_graph.py::test_query 5.15s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-False] 5.04s call tests/compute/test_data.py::test_citation_graph 4.87s call tests/compute/test_kernel.py::test_copy_src_reduce 4.77s call tests/compute/test_heterograph.py::test_query[idtype0] 4.75s call tests/compute/test_heterograph.py::test_query[idtype1] 4.74s call tests/compute/test_kernel.py::test_copy_edge_reduce 3.62s call tests/compute/test_data.py::test_flickr 3.54s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-True] 3.53s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats6-True] 3.46s call tests/compute/test_serialize.py::test_graph_serialize_with_formats[formats3-False] 3.14s call tests/compute/test_heterograph.py::test_level2[idtype1] 3.08s call tests/compute/test_heterograph.py::test_updates[idtype0] 2.97s call tests/compute/test_data.py::test_add_nodepred_split 2.94s call tests/compute/test_heterograph.py::test_updates[idtype1] 2.89s call tests/compute/test_heterograph.py::test_forking_pickler 2.14s call tests/compute/test_data.py::test_csvdataset 2.12s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 2.12s call tests/compute/test_heterograph.py::test_level2[idtype0] 2.12s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 1.94s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 1.92s call tests/compute/test_heterograph.py::test_view1[idtype1] 1.70s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 1.58s call tests/compute/test_heterograph.py::test_view1[idtype0] 1.40s call tests/compute/test_specialization.py::test_v2v_pull[idtype1] 1.39s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] 1.38s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 1.35s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] 1.21s call tests/compute/test_transform.py::test_reorder_nodes 1.20s call tests/compute/test_heterograph.py::test_format[idtype0] 1.20s call tests/compute/test_heterograph.py::test_format[idtype1] 1.16s call tests/compute/test_transform.py::test_partition_with_halo 1.14s call tests/compute/test_specialization.py::test_v2v_snr[idtype1] 1.14s call tests/compute/test_heterograph.py::test_types_in_function[idtype0] 1.13s call tests/compute/test_specialization.py::test_v2v_snr[idtype0] 1.05s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] 1.03s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] 1.01s call tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] 0.99s call tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] 0.99s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] 0.96s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] 0.92s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] 0.91s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] 0.91s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] 0.89s call tests/compute/test_basics.py::test_update_routines[idtype1] 0.89s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] 0.89s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] 0.89s call tests/compute/test_basics.py::test_update_routines[idtype0] 0.88s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] 0.88s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] 0.88s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] 0.87s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.87s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] 0.87s call tests/compute/test_heterograph.py::test_types_in_function[idtype1] 0.87s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] 0.87s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] 0.86s call tests/compute/test_subgraph.py::test_out_subgraph[idtype0] 0.86s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] 0.85s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] 0.85s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] 0.85s call tests/compute/test_transform.py::test_khop_graph 0.85s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] 0.85s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] 0.85s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp0-g1] 0.84s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp3-g1] 0.84s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] 0.83s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] 0.83s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp0-g1] 0.83s call tests/compute/test_subgraph.py::test_in_subgraph[idtype0] 0.83s call tests/compute/test_subgraph.py::test_in_subgraph[idtype1] 0.83s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] 0.83s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.83s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp5-g1] 0.82s call tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] 0.82s call tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] 0.81s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] 0.81s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] 0.81s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] 0.81s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] 0.81s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] 0.81s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp2-g1] 0.81s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] 0.80s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp1-g1] 0.80s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] 0.80s call tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] 0.80s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] 0.80s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] 0.79s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] ========= 2319 passed, 154 skipped, 169 warnings in 1290.55s (0:21:30) ========= PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 54%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-16-32] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4483@5 collecting ... PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 55%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] Client [3696] waits on 172.17.0.9:37007 Machine (0) group (0) client (0) connect to server successfuly! [06:05:03] /root/jenkins/workspace/dgl_PR-4483@5/src/runtime/semaphore_wrapper.cc:75: sem_timedwait timed out after 500 milliseconds. [06:05:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/network/socket_communicator.cc:278: Timed out when trying to receive rpc meta data after 500 milliseconds. [06:05:03] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] collected 920 items tests/tensorflow/test_basic.py::test PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv[1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv[2] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g0-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g1-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g1-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g2-idtype0] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g2-idtype1] PASSED [ 0%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g3-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g3-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g4-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g4-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g5-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g5-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g6-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-none-g6-idtype1] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g0-idtype0] PASSED [ 1%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g0-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g1-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g1-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g2-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g2-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g3-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g3-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g4-idtype0] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g4-idtype1] PASSED [ 2%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g5-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g5-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g6-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-both-g6-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g0-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g0-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g1-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g1-idtype1] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g2-idtype0] PASSED [ 3%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g2-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g3-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g3-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g4-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g4-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g5-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g5-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g6-idtype0] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-right-g6-idtype1] PASSED [ 4%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g0-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g0-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g1-idtype0] [06:05:04] /root/jenkins/workspace/dgl_PR-4483@5/src/runtime/semaphore_wrapper.cc:75: sem_timedwait timed out after 500 milliseconds. [06:05:04] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/network/socket_communicator.cc:278: Timed out when trying to receive rpc meta data after 500 milliseconds. [06:05:04] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g1-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g2-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g2-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g3-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g3-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g4-idtype0] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g4-idtype1] PASSED [ 5%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g5-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g5-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g6-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-True-left-g6-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g0-idtype0] [06:05:05] /root/jenkins/workspace/dgl_PR-4483@5/src/runtime/semaphore_wrapper.cc:75: sem_timedwait timed out after 500 milliseconds. [06:05:05] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/network/socket_communicator.cc:278: Timed out when trying to receive rpc meta data after 500 milliseconds. [06:05:05] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g0-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g1-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g1-idtype1] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g2-idtype0] PASSED [ 6%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g2-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g3-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g3-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g4-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g4-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g5-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g5-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g6-idtype0] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-none-g6-idtype1] PASSED [ 7%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g0-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g0-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g1-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g1-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g2-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g2-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g3-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g3-idtype1] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g4-idtype0] PASSED [ 8%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g4-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g5-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g5-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g6-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-both-g6-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g0-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g0-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g1-idtype0] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g1-idtype1] PASSED [ 9%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g2-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g2-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g3-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g3-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g4-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g4-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g5-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g5-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g6-idtype0] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-right-g6-idtype1] PASSED [ 10%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g0-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g0-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g1-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g1-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g2-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g2-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g3-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g3-idtype1] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g4-idtype0] PASSED [ 11%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g4-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g5-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g5-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g6-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-True-False-left-g6-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g0-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g0-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g1-idtype0] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g1-idtype1] PASSED [ 12%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g2-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g2-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g3-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g3-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g4-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g4-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g5-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g5-idtype1] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g6-idtype0] PASSED [ 13%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-none-g6-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g0-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g0-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g1-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g1-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g2-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g2-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g3-idtype0] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g3-idtype1] PASSED [ 14%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g4-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g4-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g5-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g5-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g6-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-both-g6-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g0-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g0-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g1-idtype0] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g1-idtype1] PASSED [ 15%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g2-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g2-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g3-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g3-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g4-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g4-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g5-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g5-idtype1] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g6-idtype0] PASSED [ 16%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-right-g6-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g0-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g0-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g1-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g1-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g2-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g2-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g3-idtype0] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g3-idtype1] PASSED [ 17%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g4-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g4-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g5-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g5-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g6-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-True-left-g6-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g0-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g0-idtype1] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g1-idtype0] PASSED [ 18%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g1-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g2-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g2-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g3-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g3-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g4-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g4-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g5-idtype0] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g5-idtype1] PASSED [ 19%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g6-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-none-g6-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g0-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g0-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g1-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g1-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g2-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g2-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g3-idtype0] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g3-idtype1] PASSED [ 20%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g4-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g4-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g5-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g5-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g6-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-both-g6-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g0-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g0-idtype1] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g1-idtype0] PASSED [ 21%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g1-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g2-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g2-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g3-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g3-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g4-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g4-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g5-idtype0] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g5-idtype1] PASSED [ 22%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g6-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-right-g6-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g0-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g0-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g1-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g1-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g2-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g2-idtype1] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g3-idtype0] PASSED [ 23%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g3-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g4-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g4-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g5-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g5-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g6-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[1-False-False-left-g6-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g0-idtype0] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g0-idtype1] PASSED [ 24%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g1-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g1-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g2-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g2-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g3-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g3-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g4-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g4-idtype1] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g5-idtype0] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g5-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 25%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g6-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-none-g6-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g0-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g0-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g1-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g1-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g2-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g2-idtype1] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g3-idtype0] PASSED [ 26%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g3-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g4-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g4-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g5-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g5-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g6-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-both-g6-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g0-idtype0] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g0-idtype1] PASSED [ 27%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g1-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g1-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g2-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g2-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g3-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g3-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g4-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g4-idtype1] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g5-idtype0] PASSED [ 28%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g5-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g6-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-right-g6-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g0-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g0-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g1-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g1-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype0] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g2-idtype1] PASSED [ 29%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g3-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g3-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g4-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g4-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g5-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g5-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g6-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-True-left-g6-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g0-idtype0] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g0-idtype1] PASSED [ 30%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g1-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g1-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g2-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g2-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g3-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g3-idtype1] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g4-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g4-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g5-idtype0] PASSED [ 31%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g5-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g6-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-none-g6-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g0-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g0-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g6-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g6-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g0-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g0-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g1-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g1-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g2-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g2-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g3-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g3-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g4-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g4-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g5-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g5-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g6-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g6-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g0-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g0-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g1-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g1-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g2-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g2-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g3-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g3-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g4-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g4-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g5-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g5-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] [06:05:08] /root/jenkins/workspace/dgl_PR-4483@5/src/runtime/semaphore_wrapper.cc:75: sem_timedwait timed out after 500 milliseconds. [06:05:08] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/network/socket_communicator.cc:278: Timed out when trying to receive rpc meta data after 500 milliseconds. [06:05:08] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g5-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g5-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g6-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g6-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g0-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g0-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g1-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g1-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g2-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g2-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g3-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g3-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g4-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g4-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g5-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g5-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g6-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g6-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g0-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g0-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g1-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g1-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g2-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g2-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g3-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g3-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g4-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g4-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g5-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g5-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g6-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g6-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g0-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g0-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g1-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g1-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g2-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g2-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g3-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g3-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g4-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g4-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g5-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g5-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g6-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g6-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g0-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g0-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g1-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g1-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g2-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g2-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g3-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g3-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g4-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g4-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g4-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g4-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g5-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g5-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g6-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g6-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g0-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g0-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g1-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g1-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g0-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g0-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-idtype0] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-idtype0] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_simple_pool PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 59%] tests/tensorflow/test_nn.py::test_glob_att_pool PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[2] Server (0) shutdown. Server is exiting... PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[8] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 91%] tests/distributed/test_rpc.py::test_rpc_timeout[tensorpipe] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] [06:05:12] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:12] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:12] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:16300]. Sleep 1 seconds to test client re-connect. PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] Start server 0 [06:05:13] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:13] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.9:16300]... [06:05:13] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:16300]. PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] [06:05:15] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:41917]. Client [3716] waits on 172.17.0.9:41917 PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] PASSED [ 62%]PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-16] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] PASSED [ 56%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] [06:05:18] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/./queue.h:46: Times out for popping message after 500 milliseconds. [06:05:18] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] [06:05:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/./queue.h:46: Times out for popping message after 500 milliseconds. [06:05:19] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] [06:05:20] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/./queue.h:46: Times out for popping message after 500 milliseconds. [06:05:20] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-16-32] [06:05:23] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/./queue.h:46: Times out for popping message after 500 milliseconds. [06:05:23] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] Server (0) shutdown. Server is exiting... PASSED [ 91%] tests/distributed/test_rpc.py::test_serialize PASSED [ 92%] tests/distributed/test_rpc.py::test_rpc_msg PASSED [ 93%] tests/distributed/test_rpc.py::test_rpc[tensorpipe] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 67%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g0-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g0-idtype1] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g1-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g1-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g2-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g2-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g3-idtype0] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-16] Sleep 1 seconds to test client re-connect. [06:05:27] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:27] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:27] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:12279]. PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g3-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g4-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g4-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g5-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g5-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g6-idtype0] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g6-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g7-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g7-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g0-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g0-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g1-idtype0] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g1-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g2-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g2-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g3-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g3-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g4-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g4-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g5-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g5-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g6-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g6-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g7-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g7-idtype1] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-16-32] Start server 0 [06:05:28] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:28] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.9:12279]... [06:05:28] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:12279]. PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g0-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g0-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g1-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g1-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g2-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g2-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g3-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g3-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g4-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g4-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g5-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g5-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g6-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g6-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g7-idtype0] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g7-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g0-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g0-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g1-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g1-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g2-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g2-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g3-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g3-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g4-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g4-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g5-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g5-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g6-idtype0] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g6-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g7-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g7-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g0-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g0-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g1-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g1-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g2-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g2-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype1] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype0] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 59%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] [06:05:30] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:38089]. Client [3738] waits on 172.17.0.9:38089 PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype1] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 94%] tests/distributed/test_rpc.py::test_multi_client[socket] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g4-idtype1] [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [[06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc06:05:35:] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: 141Sender with NetType~: socketSender with NetType~ is created.socket is created. [06:05:35[] 06:05:35/root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc161:: 161Receiver with NetType~: socketReceiver with NetType~ is created.socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. [[06:05:35] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc06:05:35:] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc141:: 141Sender with NetType~: socketSender with NetType~ is created.socket is created. [06:05:35] [/root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc06:05:35:] 161/root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc: :Receiver with NetType~161socket: is created.Receiver with NetType~ socket is created. PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g7-idtype0] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g7-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g7-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g7-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] Start server 0 [06:05:36] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:36] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:11501]... PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g7-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g7-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g2-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g2-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 61%]PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype1] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g6-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g6-idtype1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g0-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g0-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g1-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g1-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g2-idtype0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g2-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g3-idtype0] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g3-idtype1] PASSED [ 96%] tests/tensorflow/test_nn.py::test_edge_conv[2-g4-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g4-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g5-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g5-idtype1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g6-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv[2-g6-idtype1] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g0-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g0-idtype1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g1-idtype0] PASSED [ 97%] tests/tensorflow/test_nn.py::test_edge_conv_bi[1-g1-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g0-idtype0] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g0-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g1-idtype0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 98%] tests/tensorflow/test_nn.py::test_edge_conv_bi[2-g1-idtype1] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 98%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] Client [3759] waits on 172.17.0.9:56005 Client [3768] waits on 172.17.0.9:54963 Client [3766] waits on 172.17.0.9:54851 Client [3765] waits on 172.17.0.9:37839 Client [3756] waits on 172.17.0.9:53025 Client [3779] waits on 172.17.0.9:37519 Client [3760] waits on 172.17.0.9:36443 Client [3776] waits on 172.17.0.9:36013 Client [3761] waits on 172.17.0.9:34405 Client [3778] waits on 172.17.0.9:35411 Client [3757] waits on 172.17.0.9:39009 Client [3773] waits on 172.17.0.9:39397 Client [3758] waits on 172.17.0.9:48819 Client [3763] waits on 172.17.0.9:51105 Client [3770] waits on 172.17.0.9:51765 Client [3771] waits on 172.17.0.9:46235 Client [3769] waits on 172.17.0.9:40145 Client [3762] waits on 172.17.0.9:41661 Client [3767] waits on 172.17.0.9:41703 Client [3764] waits on 172.17.0.9:45607 Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly! Machine (0) group (0) client (12) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly!Machine (0) group (0) client (6) connect to server successfuly! Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (16) connect to server successfuly!Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (8) connect to server successfuly! Machine (0) group (0) client (11) connect to server successfuly!Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (10) connect to server successfuly! Machine (0) group (0) client (14) connect to server successfuly! Machine (0) group (0) client (9) connect to server successfuly! Machine (0) group (0) client (13) connect to server successfuly! Machine (0) group (0) client (17) connect to server successfuly! Machine (0) group (0) client (7) connect to server successfuly! Machine (0) group (0) client (18) connect to server successfuly! Machine (0) group (0) client (15) connect to server successfuly! PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] Client[3] in group[0] is exiting... Client[13] in group[0] is exiting... Client[4] in group[0] is exiting... Client[2] in group[0] is exiting... Client[12] in group[0] is exiting... Client[19] in group[0] is exiting... Client[18] in group[0] is exiting... Client[0] in group[0] is exiting... Client[17] in group[0] is exiting... Client[10] in group[0] is exiting... Client[8] in group[0] is exiting... Client[7] in group[0] is exiting... Client[14] in group[0] is exiting... Client[11] in group[0] is exiting... Client[16] in group[0] is exiting...Client[5] in group[0] is exiting... Client[9] in group[0] is exiting... Client[6] in group[0] is exiting... Client[1] in group[0] is exiting... Client[15] in group[0] is exiting... PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-16] Server (0) shutdown. Server is exiting... PASSED [ 95%] tests/distributed/test_rpc.py::test_multi_client[tensorpipe] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc[:141: Sender with NetType~06:05:45tensorpipe] is created./root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc :141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created.[ 06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. Sleep 1 seconds to test client re-connect. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:05:45] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:17467]. PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] Start server 0 [06:05:46] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:05:46] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.9:17467]... [06:05:46] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:17467]. PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [100%] =============================== warnings summary =============================== ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class IteratorBase(collections.Iterator, trackable.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class DatasetV2(collections.Iterable, tracking_base.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead. 'nearest': pil_image.NEAREST, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead. 'bilinear': pil_image.BILINEAR, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead. 'bicubic': pil_image.BICUBIC, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. if hasattr(pil_image, 'HAMMING'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. _PIL_INTERPOLATION_METHODS['hamming'] = pil_image.HAMMING ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. if hasattr(pil_image, 'BOX'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. _PIL_INTERPOLATION_METHODS['box'] = pil_image.BOX ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. if hasattr(pil_image, 'LANCZOS'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. _PIL_INTERPOLATION_METHODS['lanczos'] = pil_image.LANCZOS tests/tensorflow/test_nn.py::test_graph_conv[1] tests/tensorflow/test_nn.py::test_graph_conv[2] tests/tensorflow/test_nn.py::test_simple_pool tests/tensorflow/test_nn.py::test_glob_att_pool tests/tensorflow/test_nn.py::test_rgcn[1] tests/tensorflow/test_nn.py::test_rgcn[2] tests/tensorflow/test_nn.py::test_rgcn[8] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/tensorflow/test_nn.py::test_rgcn[1] tests/tensorflow/test_nn.py::test_rgcn[2] tests/tensorflow/test_nn.py::test_rgcn[8] /root/jenkins/workspace/dgl_PR-4483@5/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4483@5/pytest_backend.xml - ============================ slowest 100 durations ============================= 0.97s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] 0.85s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] 0.85s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] 0.84s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] 0.57s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] 0.56s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] 0.55s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] 0.55s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] 0.55s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] 0.54s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] 0.54s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] 0.37s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] 0.35s call tests/tensorflow/test_nn.py::test_graph_conv[1] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] 0.28s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] 0.27s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] 0.25s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_rgcn[8] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] 0.23s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] 0.23s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] 0.23s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] 0.23s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] 0.23s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] 0.23s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] 0.23s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] 0.23s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] 0.23s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype1] 0.23s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] 0.22s call tests/tensorflow/test_nn.py::test_rgcn[2] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] 0.21s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] 0.21s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] 0.20s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] 0.20s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] 0.20s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] 0.19s call tests/tensorflow/test_nn.py::test_rgcn[1] 0.19s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] 0.18s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] 0.17s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] 0.16s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] 0.16s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] 0.16s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] 0.15s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] 0.15s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] 0.14s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] 0.14s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype1] 0.13s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype0] 0.13s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype0] 0.13s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype0] 0.13s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype1] 0.13s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype1] 0.13s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype0] 0.13s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype0] 0.13s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype1] 0.13s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype1] 0.13s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype1] 0.13s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype0] 0.12s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype0] 0.12s call tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype1] 0.12s call tests/tensorflow/test_nn.py::test_appnp_conv[g4-idtype1] ====================== 920 passed, 33 warnings in 45.90s ======================= PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-16] [Pipeline] } PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-16] [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:56439]. Client [3916] waits on 172.17.0.9:56439 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:48653]. Client [3912] waits on 172.17.0.9:48653 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:56707]. Client [3906] waits on 172.17.0.9:56707 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:51433]. Client [3910] waits on 172.17.0.9:51433 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:43627]. [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:56675]. Client [3914] waits on 172.17.0.9:43627 Client [3911] waits on 172.17.0.9:56675 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:38035]. Client [3915] waits on 172.17.0.9:38035 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:51125]. Client [3905] waits on 172.17.0.9:51125 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:47973]. Client [3924] waits on 172.17.0.9:47973 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:54993]. Client [3907] waits on 172.17.0.9:54993 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:57539]. Client [3919] waits on 172.17.0.9:57539 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:52371]. Client [3908] waits on 172.17.0.9:52371 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:47981]. Client [3913] waits on 172.17.0.9:47981 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:44253]. Client [3917] waits on 172.17.0.9:44253 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:57401]. Client [3922] waits on 172.17.0.9:57401 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:48975]. [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:41105]. Client [3933] waits on 172.17.0.9:48975 Client [3909] waits on 172.17.0.9:41105 PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators1-32-32] [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:48467]. Client [3926] waits on 172.17.0.9:48467 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:43027]. Client [3925] waits on 172.17.0.9:43027 [06:05:48] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:57387]. Client [3938] waits on 172.17.0.9:57387 PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-32] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 3833efdb5959328664bb342f17e7002e66aeafbc8628e14cac20ef1b4bcd6d42 PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] $ docker rm -f 3833efdb5959328664bb342f17e7002e66aeafbc8628e14cac20ef1b4bcd6d42 PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-16] Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (7) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (6) connect to server successfuly!Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (8) connect to server successfuly! Machine (0) group (0) client (9) connect to server successfuly! Machine (0) group (0) client (11) connect to server successfuly! Machine (0) group (0) client (15) connect to server successfuly! Machine (0) group (0) client (12) connect to server successfuly! Machine (0) group (0) client (13) connect to server successfuly! Machine (0) group (0) client (18) connect to server successfuly! Machine (0) group (0) client (16) connect to server successfuly! Machine (0) group (0) client (17) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly!Machine (0) group (0) client (10) connect to server successfuly! Machine (0) group (0) client (14) connect to server successfuly! PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-16] [Pipeline] // withDockerContainer [Pipeline] } PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] Client[1] in group[0] is exiting... Client[7] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] Client[0] in group[0] is exiting... Client[4] in group[0] is exiting... Client[3] in group[0] is exiting... PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-32] Client[18] in group[0] is exiting... Client[5] in group[0] is exiting... Client[6] in group[0] is exiting... Client[8] in group[0] is exiting... Client[9] in group[0] is exiting... PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-16] Client[15] in group[0] is exiting... Client[11] in group[0] is exiting... Client[12] in group[0] is exiting... Client[13] in group[0] is exiting... PASSED [ 65%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-16-32] Client[17] in group[0] is exiting... Client[16] in group[0] is exiting... Client[10] in group[0] is exiting... Client[19] in group[0] is exiting... Client[14] in group[0] is exiting... PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] Server (0) shutdown. Server is exiting... PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] PASSED [ 95%] tests/distributed/test_rpc.py::test_multi_thread_rpc[socket] [06:05:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:57] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] Sleep 1 seconds to test client re-connect. Sleep 1 seconds to test client re-connect. PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] Start server 0 [06:05:59] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:59] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19482]... Start server 1 [06:05:59] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:05:59] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:19484]... PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 66%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-3] PASSED [ 66%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-sym-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-True-row-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-sym-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-True-False-row-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-sym-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-True-row-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-0.5-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-3] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-sym-1.0-5] PASSED [ 67%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[True-False-False-row-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-sym-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-True-row-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-sym-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-True-False-row-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-sym-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-0.5-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-3] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-True-row-1.0-5] PASSED [ 68%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-sym-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-0.5-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-3] PASSED [ 69%] tests/pytorch/test_nn.py::test_label_prop[False-False-False-row-1.0-5] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators0-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-16-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_dgn_conv[0-2.5-scalers0-aggregators1-32-16] PASSED [ 69%] tests/pytorch/test_nn.py::test_DeepWalk PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[in-8-2] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[in-8-6] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[in-16-2] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[in-16-6] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[out-8-2] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[out-8-6] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[out-16-2] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[out-16-6] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[both-8-2] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[both-8-6] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[both-16-2] PASSED [ 69%] tests/pytorch/test_nn.py::test_degree_encoder[both-16-6] PASSED [ 69%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype0] PASSED [ 69%] tests/pytorch/test_nn.py::test_MetaPath2Vec[idtype1] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-3-1] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-3-4] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-5-1] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-4-5-4] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-3-1] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-3-4] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-5-1] PASSED [ 69%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-1-16-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-4-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-True-4-16-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-4-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-1-16-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-4-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[0-False-4-16-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-4-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-1-16-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-4-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-3-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-5-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-True-4-16-5-4] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-3-1] PASSED [ 70%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-4-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-1-16-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-4-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[1-False-4-16-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-4-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-1-16-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-4-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-True-4-16-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-4-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-5-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-1-16-5-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-3-1] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-3-4] PASSED [ 71%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-5-1] PASSED [ 72%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-4-5-4] PASSED [ 72%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-3-1] PASSED [ 72%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-3-4] PASSED [ 72%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-5-1] PASSED [ 72%] tests/pytorch/test_nn.py::test_LaplacianPosEnc[2-False-4-16-5-4] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-True-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-True-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-True-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-True-16-512] Client [1126] waits on 172.17.0.9:52181 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-False-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-False-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-False-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-add-False-16-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-True-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-True-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-True-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-True-16-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-False-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-False-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-False-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.1-mul-False-16-512] Server (0) shutdown.Server (1) shutdown. Server is exiting... Server is exiting... PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-True-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-True-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-True-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-True-16-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-False-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-False-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-False-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-add-False-16-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-True-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-True-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-True-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-True-16-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-False-8-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-False-8-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-False-16-128] PASSED [ 72%] tests/pytorch/test_nn.py::test_BiasedMultiheadAttention[0.5-mul-False-16-512] PASSED [ 72%] tests/pytorch/test_nn.py::test_GraphormerLayer[True-add] PASSED [ 96%] tests/distributed/test_rpc.py::test_multi_thread_rpc[tensorpipe] [06:06:04] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:06:04] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:06:04] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:12614]. PASSED [ 72%] tests/pytorch/test_nn.py::test_GraphormerLayer[True-mul] PASSED [ 72%] tests/pytorch/test_nn.py::test_GraphormerLayer[False-add] PASSED [ 72%] tests/pytorch/test_nn.py::test_GraphormerLayer[False-mul] PASSED [ 72%] tests/pytorch/test_nn.py::test_PathEncoder[1-16-1] PASSED [ 73%] tests/pytorch/test_nn.py::test_PathEncoder[1-16-4] PASSED [ 73%] tests/pytorch/test_nn.py::test_PathEncoder[8-16-1] PASSED [ 73%] tests/pytorch/test_nn.py::test_PathEncoder[8-16-4] PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[1-8-1] Sleep 1 seconds to test client re-connect. PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[1-8-4] PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[1-16-1] PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[1-16-4] Sleep 1 seconds to test client re-connect. PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[8-8-1] PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[8-8-4] PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[8-16-1] PASSED [ 73%] tests/pytorch/test_nn.py::test_SpatialEncoder[8-16-4] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam[1] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam[4] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam[101] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam[1024] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-False] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-True] SKIPPED (U...) [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1-None] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-False] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-True] SKIPPED (U...) [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[4-None] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-False] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-True] SKIPPED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[101-None] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-False] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-True] SKIPPED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_uva[1024-None] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype0] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1-dtype1] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype0] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[4-dtype1] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype0] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[101-dtype1] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype0] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_dtype[1024-dtype1] PASSED [ 73%] tests/pytorch/test_optim.py::test_sparse_adam_zero_step PASSED [ 73%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] Start server 1 [06:06:06] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:06:06] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.9:12616]... [06:06:06] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:12616]. Start server 0 [06:06:06] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:06:06] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.9:12614]... [06:06:06] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:12614]. [06:06:07] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:39263]. Client [1126] waits on 172.17.0.9:39263 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 97%] tests/distributed/test_rpc.py::test_multi_client_groups SKIPPED (Tes...) [ 98%] tests/distributed/test_rpc.py::test_multi_client_connect[socket] [06:06:11] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:06:11] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. PASSED [ 73%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] Expected error: Failed to build conncetion with peer after 1 retries. Please check network availability or increase max try times via 'DGL_DIST_MAX_TRY_TIMES'. Sleep 1 seconds to test client re-connect. [06:06:15] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:06:15] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Start server 0 [06:06:16] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~socket is created. [06:06:16] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.9:17628]... PASSED [ 73%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-2] SKIPPED [ 73%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-4] SKIPPED [ 73%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[nccl-8] SKIPPED [ 73%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-2] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-4] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam[gloo-8] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[2] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[4] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cuda_tensor[8] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] PASSED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] Client [4081] waits on 172.17.0.9:51449 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 99%] tests/distributed/test_rpc.py::test_multi_client_connect[tensorpipe] [06:06:23] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:06:23] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:06:23] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:13309]. Expected error: Failed to build conncetion with peer[172.17.0.9:13309] after 1 retries. Please check network availability or increase max try times via 'DGL_DIST_MAX_TRY_TIMES'. Sleep 1 seconds to test client re-connect. [06:06:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:06:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. [06:06:24] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.9:13309]. Start server 0 [06:06:25] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:141: Sender with NetType~tensorpipe is created. [06:06:25] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/rpc.cc:161: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.9:13309]... [06:06:25] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:13309]. PASSED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-2] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-4] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[nccl-8] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-2] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-4] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step[gloo-8] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[2] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[4] SKIPPED [ 74%] tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_zero_step_cuda_tensor[8] SKIPPED [ 74%] tests/pytorch/test_pickle.py::test_pickling_batched_graph PASSED [ 74%] tests/pytorch/test_pin_memory.py::test_pin_noncontiguous SKIPPED (Ne...) [ 74%] tests/pytorch/test_pin_memory.py::test_pin_view SKIPPED (Need gpu fo...) [ 74%] tests/pytorch/test_pin_memory.py::test_unpin_automatically SKIPPED (...) [ 74%] tests/pytorch/test_pin_memory.py::test_pin_unpin_column SKIPPED (Nee...) [ 74%] tests/pytorch/test_pin_memory.py::test_pin_empty SKIPPED (Need gpu f...) [ 74%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] PASSED [ 74%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] [06:06:27] /root/jenkins/workspace/dgl_PR-4483@5/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.9:44001]. Client [4097] waits on 172.17.0.9:44001 PASSED [ 74%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] PASSED [ 74%] tests/pytorch/test_stream.py::test_basics SKIPPED (stream only runs ...) [ 74%] tests/pytorch/test_stream.py::test_set_get_stream SKIPPED (stream on...) [ 74%] tests/pytorch/test_stream.py::test_record_stream_ndarray SKIPPED (st...) [ 74%] tests/pytorch/test_stream.py::test_record_stream_graph_positive SKIPPED [ 74%] tests/pytorch/test_stream.py::test_record_stream_graph_negative SKIPPED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape0] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_diag[None-val_shape1] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape0] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape1-val_shape1] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape0] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_diag[mat_shape2-val_shape1] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape0] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape1] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_identity[None-shape2] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape0] PASSED [ 74%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape1] PASSED [ 75%] tests/pytorch/mock_sparse/test_diag.py::test_identity[2-shape2] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[add-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[add-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[add-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[add-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[add-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[sub-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[sub-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[sub-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[sub-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[mul-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[mul-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[mul-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[mul-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[truediv-dtype0-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[truediv-dtype0-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[truediv-dtype1-idtype0] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_sparse[truediv-dtype1-idtype1] PASSED [ 75%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[add-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[add-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[add-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[add-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[sub-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[mul-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_diag[truediv-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_sparse_op_scalar[2.5-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype0-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype0-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype1-idtype0] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_scalar_op_sparse[2.5-dtype1-idtype1] PASSED [ 76%] tests/pytorch/mock_sparse/test_elementwise_op_sp.py::test_expose_op PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_sparse_dense_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_sparse_sparse_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_sparse_diag_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_diag_dense_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_diag_sparse_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_diag_diag_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_batch_sparse_dense_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_batch_sparse_sparse_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_batch_sparse_diag_mm PASSED [ 76%] tests/pytorch/mock_sparse/test_mm.py::test_batch_diag_dense_mm PASSED [ 77%] tests/pytorch/mock_sparse/test_mm.py::test_batch_diag_sparse_mm PASSED [ 77%] tests/pytorch/mock_sparse/test_mm.py::test_batch_diag_diag_mm PASSED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col0-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col1-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col1-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col1-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape0-col1-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col0-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col0-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col0-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col0-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col1-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col1-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col1-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-sum-extra_shape1-col1-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col0-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col0-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col0-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col0-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col1-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col1-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col1-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape0-col1-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col0-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col0-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col0-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col0-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col1-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col1-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col1-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smax-extra_shape1-col1-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col0-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col0-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col0-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col0-row1-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col1-row0-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col1-row0-2] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col1-row1-None] SKIPPED [ 77%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape0-col1-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col0-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col0-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col0-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col0-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col1-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col1-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col1-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smin-extra_shape1-col1-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col0-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col0-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col0-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col0-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col1-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col1-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col1-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape0-col1-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col0-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col0-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col0-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col0-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col1-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col1-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col1-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[None-smean-extra_shape1-col1-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col0-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col0-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col0-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col0-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col1-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col1-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col1-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape0-col1-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col0-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col0-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col0-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col0-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col1-row0-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col1-row0-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col1-row1-None] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-sum-extra_shape1-col1-row1-2] SKIPPED [ 78%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col0-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col0-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col0-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col0-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col1-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col1-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col1-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape0-col1-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col0-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col0-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col0-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col0-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col1-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col1-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col1-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smax-extra_shape1-col1-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col0-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col1-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col1-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col1-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape0-col1-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col0-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col0-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col0-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col0-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col1-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col1-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col1-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smin-extra_shape1-col1-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col0-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col0-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col0-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col0-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col1-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col1-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col1-row1-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape0-col1-row1-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row0-None] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row0-2] SKIPPED [ 79%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col0-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col1-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col1-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col1-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[0-smean-extra_shape1-col1-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col0-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col0-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col0-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col0-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col1-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col1-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col1-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape0-col1-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col0-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col0-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col0-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col0-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col1-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col1-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col1-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-sum-extra_shape1-col1-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col0-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col0-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col0-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col0-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col1-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col1-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col1-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape0-col1-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col0-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col0-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col0-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col0-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col1-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col1-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col1-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smax-extra_shape1-col1-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col0-row0-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col0-row0-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col0-row1-None] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col0-row1-2] SKIPPED [ 80%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col1-row0-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col1-row0-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col1-row1-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape0-col1-row1-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col0-row0-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col0-row0-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col0-row1-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col0-row1-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col1-row0-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col1-row0-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col1-row1-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smin-extra_shape1-col1-row1-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col0-row0-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col0-row0-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col0-row1-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col0-row1-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col1-row0-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col1-row0-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col1-row1-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape0-col1-row1-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row0-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row0-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row1-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col0-row1-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col1-row0-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col1-row0-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col1-row1-None] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_reduction.py::test_reduction[1-smean-extra_shape1-col1-row1-2] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_sddmm.py::test_sddmm[dtype0-idtype0] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_sddmm.py::test_sddmm[dtype0-idtype1] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_sddmm.py::test_sddmm[dtype1-idtype0] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_sddmm.py::test_sddmm[dtype1-idtype1] SKIPPED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row0-None] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row0-4] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row1-None] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col0-row1-4] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row0-None] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row0-4] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row1-None] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[None-col1-row1-4] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row0-None] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row0-4] PASSED [ 81%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row1-None] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col0-row1-4] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-None] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row0-4] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-None] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape1-col1-row1-4] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-None] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row0-4] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-None] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col0-row1-4] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-None] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row0-4] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-None] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_coo[mat_shape2-col1-row1-4] PASSED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr0-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices0-indptr1-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr0-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr0-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr1-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[None-indices1-indptr1-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr0-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr0-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr1-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices0-indptr1-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr0-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr0-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr1-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csr[mat_shape1-indices1-indptr1-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr0-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr0-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr1-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices0-indptr1-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr0-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr0-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr1-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[None-indices1-indptr1-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr0-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr0-4] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr1-None] SKIPPED [ 82%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices0-indptr1-4] SKIPPED [ 83%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr0-None] SKIPPED [ 83%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr0-4] SKIPPED [ 83%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr1-None] SKIPPED [ 83%] tests/pytorch/mock_sparse/test_sparse_matrix.py::test_create_from_csc[mat_shape1-indices1-indptr1-4] SKIPPED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-None] PASSED [ 83%] tests/pytorch/mock_sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-2] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape0-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape0-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape1-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_diag[mat_shape1-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_inv_diag PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape0-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape0-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_diag[mat_shape1-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape0-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape0] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_neg_sp[mat_shape1-val_shape1] PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_inv_sp PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape0] Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 83%] tests/pytorch/mock_sparse/test_unary.py::test_softmax_sp[val_shape1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size0-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size0-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size1-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u[feat_size1-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size0-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size0-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size1-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_u_hetero[feat_size1-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size0-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size0-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size1-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v[feat_size1-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size0-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size0-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size1-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_copy_v_hetero[feat_size1-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-add-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-add-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-sub-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-sub-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-mul-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-mul-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-div-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size0-y_size0-div-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-add-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-add-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-sub-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-sub-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-mul-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-mul-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-div-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size1-y_size1-div-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-add-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-add-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-sub-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-sub-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-mul-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-mul-idtype1] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-div-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size2-y_size2-div-idtype1] PASSED [ 84%]Client[0] in group[0] is exiting... tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-add-idtype0] PASSED [ 84%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-add-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-sub-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-sub-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-mul-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-mul-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-div-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size3-y_size3-div-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-add-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-add-idtype1] Server (0) shutdown. Server is exiting... PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-sub-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-sub-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-mul-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-mul-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-div-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size4-y_size4-div-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-add-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-add-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-sub-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-sub-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-mul-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-mul-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-div-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_op_v[x_size5-y_size5-div-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size0-y_size0-idtype0] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1841 /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/backend/backend.py:1841: DeprecationWarning: invalid escape sequence \P """ python/dgl/heterograph.py:72 /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/distributed/test_dist_graph_store.py: 1 warning tests/distributed/test_distributed_sampling.py: 2 warnings tests/distributed/test_mp_dataloader.py: 6 warnings tests/distributed/test_partition.py: 48 warnings /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/backend/pytorch/tensor.py:156: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). return in1 // in2 -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4483@7/pytest_distributed.xml - ============================ slowest 100 durations ============================= 87.98s call tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[1] 77.28s call tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[2] 74.93s call tests/distributed/test_dist_graph_store.py::test_server_client 39.97s call tests/distributed/test_mp_dataloader.py::test_dataloader[node-4-3] 39.80s call tests/distributed/test_mp_dataloader.py::test_dataloader[edge-4-3] 38.92s call tests/distributed/test_mp_dataloader.py::test_neg_dataloader[4-3] 32.64s call tests/distributed/test_mp_dataloader.py::test_neg_dataloader[0-3] 32.33s call tests/distributed/test_mp_dataloader.py::test_dataloader[edge-0-3] 31.35s call tests/distributed/test_mp_dataloader.py::test_dataloader[node-0-3] 28.79s call tests/distributed/test_dist_graph_store.py::test_dist_optim_server_client 18.20s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-4-4] 17.42s call tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[2] 15.84s call tests/distributed/test_dist_graph_store.py::test_split[True] 15.39s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-1-4] 15.29s call tests/distributed/test_rpc.py::test_rpc_timeout[socket] 15.18s call tests/distributed/test_rpc.py::test_rpc_timeout[tensorpipe] 14.61s call tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[1] 14.48s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-4-4] 13.95s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-1-4] 13.71s call tests/distributed/test_new_kvstore.py::test_kv_store 13.40s call tests/distributed/test_new_kvstore.py::test_kv_multi_role 12.88s call tests/distributed/test_rpc.py::test_multi_client[tensorpipe] 12.83s call tests/distributed/test_dist_graph_store.py::test_dist_emb_server_client 12.38s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-4-1] 12.24s call tests/distributed/test_rpc.py::test_multi_client_connect[socket] 12.20s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-4-3] 12.01s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-4-3] 11.28s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-1-1] 10.78s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-4-1] 9.97s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-1-1] 9.83s call tests/distributed/test_rpc.py::test_multi_client[socket] 8.42s call tests/distributed/test_distributed_sampling.py::test_rpc_in_subgraph 8.26s call tests/distributed/test_rpc.py::test_multi_client_connect[tensorpipe] 8.09s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-0-3] 8.09s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-0-3] 7.78s call tests/distributed/test_rpc.py::test_rpc[tensorpipe] 7.50s call tests/distributed/test_rpc.py::test_multi_thread_rpc[socket] 7.41s call tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[1] 6.89s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-0-4] 6.43s call tests/distributed/test_rpc.py::test_multi_thread_rpc[tensorpipe] 6.41s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-0-4] 6.00s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[edge-0-1] 5.87s call tests/distributed/test_mp_dataloader.py::test_multiple_dist_dataloaders[node-0-1] 5.49s call tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[2] 0.96s call tests/distributed/test_dist_graph_store.py::test_split[False] 0.29s call tests/distributed/test_partition.py::test_partition[None-True-4-4-metis] 0.29s call tests/distributed/test_partition.py::test_partition[None-False-4-4-metis] 0.27s call tests/distributed/test_mp_dataloader.py::test_standalone 0.27s call tests/distributed/test_partition.py::test_partition[None-True-1-4-metis] 0.27s call tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-4-metis] 0.27s call tests/distributed/test_partition.py::test_partition[None-False-1-4-metis] 0.27s call tests/distributed/test_partition.py::test_partition[None-False-1-4-random] 0.26s call tests/distributed/test_partition.py::test_partition[None-False-4-4-random] 0.26s call tests/distributed/test_partition.py::test_partition[None-True-4-4-random] 0.25s call tests/distributed/test_partition.py::test_partition[None-True-1-4-random] 0.22s call tests/distributed/test_dist_graph_store.py::test_split_even 0.22s call tests/distributed/test_distributed_sampling.py::test_standalone_etype_sampling 0.22s call tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-4-random] 0.21s call tests/distributed/test_partition.py::test_partition[None-True-1-1-metis] 0.21s call tests/distributed/test_partition.py::test_partition[None-True-4-1-random] 0.21s call tests/distributed/test_partition.py::test_partition[None-False-4-1-metis] 0.21s call tests/distributed/test_partition.py::test_partition[None-False-4-1-random] 0.21s call tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-4-metis] 0.20s call tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-4-metis] 0.20s call tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-1-random] 0.20s call tests/distributed/test_partition.py::test_partition[None-False-1-1-metis] 0.20s call tests/distributed/test_partition.py::test_partition[None-True-1-1-random] 0.19s call tests/distributed/test_partition.py::test_partition[graph_formats1-True-1-1-metis] 0.19s call tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-4-metis] 0.19s call tests/distributed/test_partition.py::test_partition[None-False-1-1-random] 0.19s call tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-4-metis] 0.18s call tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-4-random] 0.18s call tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-4-random] 0.18s call tests/distributed/test_dist_graph_store.py::test_standalone 0.18s call tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-4-random] 0.18s call tests/distributed/test_partition.py::test_partition[None-True-4-1-metis] 0.18s call tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-4-metis] 0.17s call tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-4-metis] 0.17s call tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-4-metis] 0.17s call tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-4-metis] 0.17s call tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-4-random] 0.16s call tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-4-metis] 0.16s call tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-4-metis] 0.16s call tests/distributed/test_partition.py::test_partition[graph_formats1-False-1-4-metis] 0.16s call tests/distributed/test_partition.py::test_partition[graph_formats3-True-1-4-random] 0.16s call tests/distributed/test_partition.py::test_partition[graph_formats3-False-4-4-random] 0.16s call tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-4-random] 0.16s call tests/distributed/test_partition.py::test_partition[graph_formats2-False-4-4-random] 0.16s call tests/distributed/test_partition.py::test_partition[graph_formats1-False-1-4-random] 0.16s call tests/distributed/test_partition.py::test_partition[graph_formats1-False-4-4-random] 0.16s call tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-4-random] 0.15s call tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-1-metis] 0.14s call tests/distributed/test_partition.py::test_partition[graph_formats1-True-4-1-random] 0.14s call tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-1-random] 0.14s call tests/distributed/test_partition.py::test_partition[graph_formats2-True-4-1-metis] 0.13s call tests/distributed/test_partition.py::test_partition[graph_formats3-True-4-1-random] 0.13s call tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-1-random] 0.13s call tests/distributed/test_partition.py::test_partition[graph_formats3-False-1-1-metis] 0.13s call tests/distributed/test_partition.py::test_partition[graph_formats2-True-1-1-random] 0.13s call tests/distributed/test_partition.py::test_partition[graph_formats2-False-1-1-metis] =========== 121 passed, 2 skipped, 59 warnings in 875.74s (0:14:35) ============ Exception ignored in: Traceback (most recent call last): File "/root/jenkins/workspace/dgl_PR-4483@7/python/dgl/distributed/dist_tensor.py", line 168, in __del__ AttributeError: 'NoneType' object has no attribute 'get' Exception ignored in: Traceback (most recent call last): File "/root/jenkins/workspace/dgl_PR-4483@7/python/dgl/distributed/dist_tensor.py", line 168, in __del__ AttributeError: 'NoneType' object has no attribute 'get' Exception ignored in: Traceback (most recent call last): File "/root/jenkins/workspace/dgl_PR-4483@7/python/dgl/distributed/dist_tensor.py", line 168, in __del__ AttributeError: 'NoneType' object has no attribute 'get' Exception ignored in: Traceback (most recent call last): File "/root/jenkins/workspace/dgl_PR-4483@7/python/dgl/distributed/dist_tensor.py", line 168, in __del__ AttributeError: 'NoneType' object has no attribute 'get' Exception ignored in: Traceback (most recent call last): File "/root/jenkins/workspace/dgl_PR-4483@7/python/dgl/distributed/dist_tensor.py", line 168, in __del__ AttributeError: 'NoneType' object has no attribute 'get' PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size0-y_size0-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size1-y_size1-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size1-y_size1-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size2-y_size2-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size2-y_size2-idtype1] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size3-y_size3-idtype0] PASSED [ 85%] tests/pytorch/mpops/test_edgewise.py::test_u_dot_v[x_size3-y_size3-idtype1] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_diag[None-val_shape0] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_diag[None-val_shape1] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_diag[mat_shape1-val_shape0] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_diag[mat_shape1-val_shape1] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_diag[mat_shape2-val_shape0] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_diag[mat_shape2-val_shape1] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_identity[None-shape0] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_identity[None-shape1] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_identity[None-shape2] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_identity[2-shape0] PASSED [ 85%] tests/pytorch/sparse/test_diag.py::test_identity[2-shape1] PASSED [ 86%] tests/pytorch/sparse/test_diag.py::test_identity[2-shape2] PASSED [ 86%] tests/pytorch/sparse/test_diag.py::test_print PASSED [ 86%] tests/pytorch/sparse/test_diag.py::test_to_device[cpu] SKIPPED (Devi...) [ 86%] tests/pytorch/sparse/test_diag.py::test_to_device[cuda] SKIPPED (Dev...) [ 86%] tests/pytorch/sparse/test_diag.py::test_to_dtype[dtype0] PASSED [ 86%] tests/pytorch/sparse/test_diag.py::test_to_dtype[dtype1] PASSED [ 86%] tests/pytorch/sparse/test_diag.py::test_to_dtype[dtype2] PASSED [ 86%] tests/pytorch/sparse/test_diag.py::test_to_dtype[dtype3] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_coo[val_shape0] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_coo[val_shape1] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_csr[val_shape0] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_csr[val_shape1] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_csc[val_shape0] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_csc[val_shape1] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_diag[val_shape0] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_diag[val_shape1] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_sparse_diag[val_shape0] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op.py::test_add_sparse_diag[val_shape1] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_diag.py::test_diag_op_diag[sub] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_diag.py::test_diag_op_diag[mul] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_diag.py::test_diag_op_diag[truediv] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_diag.py::test_diag_op_scalar[2.5] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_sp.py::test_mul_scalar[2] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_sp.py::test_mul_scalar[2.5] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_sp.py::test_pow[val_shape0] PASSED [ 86%] tests/pytorch/sparse/test_elementwise_op_sp.py::test_pow[val_shape1] PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_gcn ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4483@7 collecting ... collected 57 items tests/tools/test_array_readwriter.py::test_array_readwriter[numpy-shape0] PASSED [ 1%] tests/tools/test_array_readwriter.py::test_array_readwriter[numpy-shape1] PASSED [ 3%] tests/tools/test_array_readwriter.py::test_array_readwriter[numpy-shape2] PASSED [ 5%] tests/tools/test_array_readwriter.py::test_array_readwriter[numpy-shape3] PASSED [ 7%] tests/tools/test_array_readwriter.py::test_array_readwriter[parquet-shape0] PASSED [ 8%] tests/tools/test_array_readwriter.py::test_array_readwriter[parquet-shape1] PASSED [ 10%] tests/tools/test_array_readwriter.py::test_array_readwriter[parquet-shape2] PASSED [ 12%] tests/tools/test_array_readwriter.py::test_array_readwriter[parquet-shape3] PASSED [ 14%] tests/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[3-100-2] Converting to homogeneous graph takes 0.001s, peak mem: 1.164 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.164 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.164 GB [06:06:33] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 300 nodes and 60 edges into 2 parts and get 0 edge cuts Metis partitioning: 0.000 seconds, peak memory: 1.164 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.164 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.000 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.164 GB part 0 has 49 nodes of type n1 and 49 are inside the partition part 0 has 49 nodes of type n2 and 49 are inside the partition part 0 has 49 nodes of type n3 and 49 are inside the partition part 0 has 3 edges of type ('n1', 'r1', 'n2') and 3 are inside the partition part 0 has 3 edges of type ('n1', 'r2', 'n3') and 3 are inside the partition part 0 has 3 edges of type ('n2', 'r3', 'n3') and 3 are inside the partition part 1 has 51 nodes of type n1 and 51 are inside the partition part 1 has 51 nodes of type n2 and 51 are inside the partition part 1 has 51 nodes of type n3 and 51 are inside the partition part 1 has 7 edges of type ('n1', 'r1', 'n2') and 7 are inside the partition part 1 has 7 edges of type ('n1', 'r2', 'n3') and 7 are inside the partition part 1 has 7 edges of type ('n2', 'r3', 'n3') and 7 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.164 GB There are 30 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 15%] tests/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[10-500-4] Converting to homogeneous graph takes 0.006s, peak mem: 1.164 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.164 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.164 GB [06:06:34] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 5000 nodes and 22500 edges into 4 parts and get 365 edge cuts Metis partitioning: 0.010 seconds, peak memory: 1.164 GB Assigning nodes to METIS partitions takes 0.012s, peak mem: 1.164 GB Reshuffle nodes and edges: 0.002 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.010s, peak mem: 1.164 GB part 0 has 133 nodes of type n1 and 125 are inside the partition part 0 has 140 nodes of type n10 and 129 are inside the partition part 0 has 137 nodes of type n2 and 128 are inside the partition part 0 has 138 nodes of type n3 and 129 are inside the partition part 0 has 136 nodes of type n4 and 128 are inside the partition part 0 has 131 nodes of type n5 and 125 are inside the partition part 0 has 138 nodes of type n6 and 128 are inside the partition part 0 has 140 nodes of type n7 and 128 are inside the partition part 0 has 140 nodes of type n8 and 129 are inside the partition part 0 has 137 nodes of type n9 and 128 are inside the partition part 0 has 83 edges of type ('n1', 'r1', 'n2') and 79 are inside the partition part 0 has 81 edges of type ('n1', 'r2', 'n3') and 77 are inside the partition part 0 has 81 edges of type ('n1', 'r3', 'n4') and 78 are inside the partition part 0 has 83 edges of type ('n1', 'r4', 'n5') and 81 are inside the partition part 0 has 80 edges of type ('n1', 'r5', 'n6') and 77 are inside the partition part 0 has 80 edges of type ('n1', 'r6', 'n7') and 76 are inside the partition part 0 has 80 edges of type ('n1', 'r7', 'n8') and 75 are inside the partition part 0 has 82 edges of type ('n1', 'r8', 'n9') and 78 are inside the partition part 0 has 81 edges of type ('n1', 'r9', 'n10') and 74 are inside the partition part 0 has 81 edges of type ('n2', 'r10', 'n3') and 77 are inside the partition part 0 has 80 edges of type ('n2', 'r11', 'n4') and 78 are inside the partition part 0 has 82 edges of type ('n2', 'r12', 'n5') and 81 are inside the partition part 0 has 79 edges of type ('n2', 'r13', 'n6') and 77 are inside the partition part 0 has 79 edges of type ('n2', 'r14', 'n7') and 76 are inside the partition part 0 has 79 edges of type ('n2', 'r15', 'n8') and 75 are inside the partition part 0 has 81 edges of type ('n2', 'r16', 'n9') and 78 are inside the partition part 0 has 80 edges of type ('n2', 'r17', 'n10') and 74 are inside the partition part 0 has 80 edges of type ('n3', 'r18', 'n4') and 78 are inside the partition part 0 has 82 edges of type ('n3', 'r19', 'n5') and 81 are inside the partition part 0 has 79 edges of type ('n3', 'r20', 'n6') and 77 are inside the partition part 0 has 79 edges of type ('n3', 'r21', 'n7') and 76 are inside the partition part 0 has 77 edges of type ('n3', 'r22', 'n8') and 75 are inside the partition part 0 has 81 edges of type ('n3', 'r23', 'n9') and 78 are inside the partition part 0 has 78 edges of type ('n3', 'r24', 'n10') and 74 are inside the partition part 0 has 84 edges of type ('n4', 'r25', 'n5') and 81 are inside the partition part 0 has 82 edges of type ('n4', 'r26', 'n6') and 77 are inside the partition part 0 has 82 edges of type ('n4', 'r27', 'n7') and 76 are inside the partition part 0 has 80 edges of type ('n4', 'r28', 'n8') and 75 are inside the partition part 0 has 82 edges of type ('n4', 'r29', 'n9') and 78 are inside the partition part 0 has 79 edges of type ('n4', 'r30', 'n10') and 74 are inside the partition part 0 has 84 edges of type ('n5', 'r31', 'n6') and 77 are inside the partition part 0 has 84 edges of type ('n5', 'r32', 'n7') and 76 are inside the partition part 0 has 83 edges of type ('n5', 'r33', 'n8') and 75 are inside the partition part 0 has 84 edges of type ('n5', 'r34', 'n9') and 78 are inside the partition part 0 has 82 edges of type ('n5', 'r35', 'n10') and 74 are inside the partition part 0 has 82 edges of type ('n6', 'r36', 'n7') and 76 are inside the partition part 0 has 80 edges of type ('n6', 'r37', 'n8') and 75 are inside the partition part 0 has 82 edges of type ('n6', 'r38', 'n9') and 78 are inside the partition part 0 has 79 edges of type ('n6', 'r39', 'n10') and 74 are inside the partition part 0 has 78 edges of type ('n7', 'r40', 'n8') and 75 are inside the partition part 0 has 79 edges of type ('n7', 'r41', 'n9') and 78 are inside the partition part 0 has 77 edges of type ('n7', 'r42', 'n10') and 74 are inside the partition part 0 has 83 edges of type ('n8', 'r43', 'n9') and 78 are inside the partition part 0 has 79 edges of type ('n8', 'r44', 'n10') and 74 are inside the partition part 0 has 80 edges of type ('n9', 'r45', 'n10') and 74 are inside the partition part 1 has 140 nodes of type n1 and 129 are inside the partition part 1 has 130 nodes of type n10 and 126 are inside the partition part 1 has 139 nodes of type n2 and 129 are inside the partition part 1 has 136 nodes of type n3 and 129 are inside the partition part 1 has 141 nodes of type n4 and 129 are inside the partition part 1 has 140 nodes of type n5 and 127 are inside the partition part 1 has 141 nodes of type n6 and 129 are inside the partition part 1 has 132 nodes of type n7 and 125 are inside the partition part 1 has 130 nodes of type n8 and 124 are inside the partition part 1 has 140 nodes of type n9 and 128 are inside the partition part 1 has 71 edges of type ('n1', 'r1', 'n2') and 67 are inside the partition part 1 has 72 edges of type ('n1', 'r2', 'n3') and 71 are inside the partition part 1 has 70 edges of type ('n1', 'r3', 'n4') and 68 are inside the partition part 1 has 70 edges of type ('n1', 'r4', 'n5') and 67 are inside the partition part 1 has 71 edges of type ('n1', 'r5', 'n6') and 70 are inside the partition part 1 has 72 edges of type ('n1', 'r6', 'n7') and 72 are inside the partition part 1 has 73 edges of type ('n1', 'r7', 'n8') and 73 are inside the partition part 1 has 71 edges of type ('n1', 'r8', 'n9') and 67 are inside the partition part 1 has 75 edges of type ('n1', 'r9', 'n10') and 74 are inside the partition part 1 has 73 edges of type ('n2', 'r10', 'n3') and 71 are inside the partition part 1 has 71 edges of type ('n2', 'r11', 'n4') and 68 are inside the partition part 1 has 70 edges of type ('n2', 'r12', 'n5') and 67 are inside the partition part 1 has 71 edges of type ('n2', 'r13', 'n6') and 70 are inside the partition part 1 has 72 edges of type ('n2', 'r14', 'n7') and 72 are inside the partition part 1 has 73 edges of type ('n2', 'r15', 'n8') and 73 are inside the partition part 1 has 72 edges of type ('n2', 'r16', 'n9') and 67 are inside the partition part 1 has 75 edges of type ('n2', 'r17', 'n10') and 74 are inside the partition part 1 has 73 edges of type ('n3', 'r18', 'n4') and 68 are inside the partition part 1 has 72 edges of type ('n3', 'r19', 'n5') and 67 are inside the partition part 1 has 73 edges of type ('n3', 'r20', 'n6') and 70 are inside the partition part 1 has 74 edges of type ('n3', 'r21', 'n7') and 72 are inside the partition part 1 has 73 edges of type ('n3', 'r22', 'n8') and 73 are inside the partition part 1 has 74 edges of type ('n3', 'r23', 'n9') and 67 are inside the partition part 1 has 75 edges of type ('n3', 'r24', 'n10') and 74 are inside the partition part 1 has 73 edges of type ('n4', 'r25', 'n5') and 67 are inside the partition part 1 has 75 edges of type ('n4', 'r26', 'n6') and 70 are inside the partition part 1 has 76 edges of type ('n4', 'r27', 'n7') and 72 are inside the partition part 1 has 75 edges of type ('n4', 'r28', 'n8') and 73 are inside the partition part 1 has 73 edges of type ('n4', 'r29', 'n9') and 67 are inside the partition part 1 has 75 edges of type ('n4', 'r30', 'n10') and 74 are inside the partition part 1 has 73 edges of type ('n5', 'r31', 'n6') and 70 are inside the partition part 1 has 74 edges of type ('n5', 'r32', 'n7') and 72 are inside the partition part 1 has 74 edges of type ('n5', 'r33', 'n8') and 73 are inside the partition part 1 has 72 edges of type ('n5', 'r34', 'n9') and 67 are inside the partition part 1 has 74 edges of type ('n5', 'r35', 'n10') and 74 are inside the partition part 1 has 75 edges of type ('n6', 'r36', 'n7') and 72 are inside the partition part 1 has 74 edges of type ('n6', 'r37', 'n8') and 73 are inside the partition part 1 has 73 edges of type ('n6', 'r38', 'n9') and 67 are inside the partition part 1 has 74 edges of type ('n6', 'r39', 'n10') and 74 are inside the partition part 1 has 75 edges of type ('n7', 'r40', 'n8') and 73 are inside the partition part 1 has 73 edges of type ('n7', 'r41', 'n9') and 67 are inside the partition part 1 has 75 edges of type ('n7', 'r42', 'n10') and 74 are inside the partition part 1 has 75 edges of type ('n8', 'r43', 'n9') and 67 are inside the partition part 1 has 75 edges of type ('n8', 'r44', 'n10') and 74 are inside the partition part 1 has 75 edges of type ('n9', 'r45', 'n10') and 74 are inside the partition part 2 has 121 nodes of type n1 and 119 are inside the partition part 2 has 128 nodes of type n10 and 127 are inside the partition part 2 has 131 nodes of type n2 and 129 are inside the partition part 2 has 131 nodes of type n3 and 129 are inside the partition part 2 has 132 nodes of type n4 and 129 are inside the partition part 2 has 133 nodes of type n5 and 129 are inside the partition part 2 has 125 nodes of type n6 and 124 are inside the partition part 2 has 130 nodes of type n7 and 129 are inside the partition part 2 has 131 nodes of type n8 and 129 are inside the partition part 2 has 131 nodes of type n9 and 129 are inside the partition part 2 has 51 edges of type ('n1', 'r1', 'n2') and 51 are inside the partition part 2 has 50 edges of type ('n1', 'r2', 'n3') and 50 are inside the partition part 2 has 50 edges of type ('n1', 'r3', 'n4') and 50 are inside the partition part 2 has 50 edges of type ('n1', 'r4', 'n5') and 49 are inside the partition part 2 has 51 edges of type ('n1', 'r5', 'n6') and 51 are inside the partition part 2 has 50 edges of type ('n1', 'r6', 'n7') and 50 are inside the partition part 2 has 49 edges of type ('n1', 'r7', 'n8') and 49 are inside the partition part 2 has 49 edges of type ('n1', 'r8', 'n9') and 49 are inside the partition part 2 has 49 edges of type ('n1', 'r9', 'n10') and 49 are inside the partition part 2 has 50 edges of type ('n2', 'r10', 'n3') and 50 are inside the partition part 2 has 50 edges of type ('n2', 'r11', 'n4') and 50 are inside the partition part 2 has 50 edges of type ('n2', 'r12', 'n5') and 49 are inside the partition part 2 has 51 edges of type ('n2', 'r13', 'n6') and 51 are inside the partition part 2 has 50 edges of type ('n2', 'r14', 'n7') and 50 are inside the partition part 2 has 49 edges of type ('n2', 'r15', 'n8') and 49 are inside the partition part 2 has 49 edges of type ('n2', 'r16', 'n9') and 49 are inside the partition part 2 has 49 edges of type ('n2', 'r17', 'n10') and 49 are inside the partition part 2 has 50 edges of type ('n3', 'r18', 'n4') and 50 are inside the partition part 2 has 50 edges of type ('n3', 'r19', 'n5') and 49 are inside the partition part 2 has 51 edges of type ('n3', 'r20', 'n6') and 51 are inside the partition part 2 has 50 edges of type ('n3', 'r21', 'n7') and 50 are inside the partition part 2 has 49 edges of type ('n3', 'r22', 'n8') and 49 are inside the partition part 2 has 49 edges of type ('n3', 'r23', 'n9') and 49 are inside the partition part 2 has 49 edges of type ('n3', 'r24', 'n10') and 49 are inside the partition part 2 has 49 edges of type ('n4', 'r25', 'n5') and 49 are inside the partition part 2 has 51 edges of type ('n4', 'r26', 'n6') and 51 are inside the partition part 2 has 50 edges of type ('n4', 'r27', 'n7') and 50 are inside the partition part 2 has 49 edges of type ('n4', 'r28', 'n8') and 49 are inside the partition part 2 has 49 edges of type ('n4', 'r29', 'n9') and 49 are inside the partition part 2 has 49 edges of type ('n4', 'r30', 'n10') and 49 are inside the partition part 2 has 51 edges of type ('n5', 'r31', 'n6') and 51 are inside the partition part 2 has 50 edges of type ('n5', 'r32', 'n7') and 50 are inside the partition part 2 has 49 edges of type ('n5', 'r33', 'n8') and 49 are inside the partition part 2 has 49 edges of type ('n5', 'r34', 'n9') and 49 are inside the partition part 2 has 49 edges of type ('n5', 'r35', 'n10') and 49 are inside the partition part 2 has 51 edges of type ('n6', 'r36', 'n7') and 50 are inside the partition part 2 has 50 edges of type ('n6', 'r37', 'n8') and 49 are inside the partition part 2 has 50 edges of type ('n6', 'r38', 'n9') and 49 are inside the partition part 2 has 50 edges of type ('n6', 'r39', 'n10') and 49 are inside the partition part 2 has 49 edges of type ('n7', 'r40', 'n8') and 49 are inside the partition part 2 has 49 edges of type ('n7', 'r41', 'n9') and 49 are inside the partition part 2 has 49 edges of type ('n7', 'r42', 'n10') and 49 are inside the partition part 2 has 49 edges of type ('n8', 'r43', 'n9') and 49 are inside the partition part 2 has 49 edges of type ('n8', 'r44', 'n10') and 49 are inside the partition part 2 has 49 edges of type ('n9', 'r45', 'n10') and 49 are inside the partition part 3 has 129 nodes of type n1 and 127 are inside the partition part 3 has 123 nodes of type n10 and 118 are inside the partition part 3 has 118 nodes of type n2 and 114 are inside the partition part 3 has 118 nodes of type n3 and 113 are inside the partition part 3 has 117 nodes of type n4 and 114 are inside the partition part 3 has 123 nodes of type n5 and 119 are inside the partition part 3 has 126 nodes of type n6 and 119 are inside the partition part 3 has 124 nodes of type n7 and 118 are inside the partition part 3 has 123 nodes of type n8 and 118 are inside the partition part 3 has 119 nodes of type n9 and 115 are inside the partition part 3 has 54 edges of type ('n1', 'r1', 'n2') and 53 are inside the partition part 3 has 54 edges of type ('n1', 'r2', 'n3') and 52 are inside the partition part 3 has 55 edges of type ('n1', 'r3', 'n4') and 54 are inside the partition part 3 has 55 edges of type ('n1', 'r4', 'n5') and 53 are inside the partition part 3 has 54 edges of type ('n1', 'r5', 'n6') and 52 are inside the partition part 3 has 54 edges of type ('n1', 'r6', 'n7') and 52 are inside the partition part 3 has 54 edges of type ('n1', 'r7', 'n8') and 53 are inside the partition part 3 has 56 edges of type ('n1', 'r8', 'n9') and 56 are inside the partition part 3 has 54 edges of type ('n1', 'r9', 'n10') and 53 are inside the partition part 3 has 53 edges of type ('n2', 'r10', 'n3') and 52 are inside the partition part 3 has 55 edges of type ('n2', 'r11', 'n4') and 54 are inside the partition part 3 has 54 edges of type ('n2', 'r12', 'n5') and 53 are inside the partition part 3 has 53 edges of type ('n2', 'r13', 'n6') and 52 are inside the partition part 3 has 53 edges of type ('n2', 'r14', 'n7') and 52 are inside the partition part 3 has 53 edges of type ('n2', 'r15', 'n8') and 53 are inside the partition part 3 has 56 edges of type ('n2', 'r16', 'n9') and 56 are inside the partition part 3 has 53 edges of type ('n2', 'r17', 'n10') and 53 are inside the partition part 3 has 55 edges of type ('n3', 'r18', 'n4') and 54 are inside the partition part 3 has 54 edges of type ('n3', 'r19', 'n5') and 53 are inside the partition part 3 has 53 edges of type ('n3', 'r20', 'n6') and 52 are inside the partition part 3 has 53 edges of type ('n3', 'r21', 'n7') and 52 are inside the partition part 3 has 53 edges of type ('n3', 'r22', 'n8') and 53 are inside the partition part 3 has 56 edges of type ('n3', 'r23', 'n9') and 56 are inside the partition part 3 has 53 edges of type ('n3', 'r24', 'n10') and 53 are inside the partition part 3 has 55 edges of type ('n4', 'r25', 'n5') and 53 are inside the partition part 3 has 55 edges of type ('n4', 'r26', 'n6') and 52 are inside the partition part 3 has 55 edges of type ('n4', 'r27', 'n7') and 52 are inside the partition part 3 has 55 edges of type ('n4', 'r28', 'n8') and 53 are inside the partition part 3 has 57 edges of type ('n4', 'r29', 'n9') and 56 are inside the partition part 3 has 55 edges of type ('n4', 'r30', 'n10') and 53 are inside the partition part 3 has 55 edges of type ('n5', 'r31', 'n6') and 52 are inside the partition part 3 has 55 edges of type ('n5', 'r32', 'n7') and 52 are inside the partition part 3 has 55 edges of type ('n5', 'r33', 'n8') and 53 are inside the partition part 3 has 58 edges of type ('n5', 'r34', 'n9') and 56 are inside the partition part 3 has 55 edges of type ('n5', 'r35', 'n10') and 53 are inside the partition part 3 has 53 edges of type ('n6', 'r36', 'n7') and 52 are inside the partition part 3 has 53 edges of type ('n6', 'r37', 'n8') and 53 are inside the partition part 3 has 56 edges of type ('n6', 'r38', 'n9') and 56 are inside the partition part 3 has 53 edges of type ('n6', 'r39', 'n10') and 53 are inside the partition part 3 has 53 edges of type ('n7', 'r40', 'n8') and 53 are inside the partition part 3 has 56 edges of type ('n7', 'r41', 'n9') and 56 are inside the partition part 3 has 53 edges of type ('n7', 'r42', 'n10') and 53 are inside the partition part 3 has 58 edges of type ('n8', 'r43', 'n9') and 56 are inside the partition part 3 has 55 edges of type ('n8', 'r44', 'n10') and 53 are inside the partition part 3 has 56 edges of type ('n9', 'r45', 'n10') and 53 are inside the partition Save partitions: 0.032 seconds, peak memory: 1.164 GB There are 11250 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 17%] tests/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[10-1000-8] PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_gcnii Converting to homogeneous graph takes 0.005s, peak mem: 1.164 GB Convert a graph into a bidirected graph: 0.002 seconds, peak memory: 1.164 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.164 GB [06:06:35] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 10000 nodes and 90000 edges into 8 parts and get 9120 edge cuts Metis partitioning: 0.039 seconds, peak memory: 1.164 GB Assigning nodes to METIS partitions takes 0.042s, peak mem: 1.164 GB Reshuffle nodes and edges: 0.005 seconds Split the graph: 0.008 seconds Construct subgraphs: 0.014 seconds Splitting the graph into partitions takes 0.027s, peak mem: 1.164 GB part 0 has 174 nodes of type n1 and 129 are inside the partition part 0 has 184 nodes of type n10 and 129 are inside the partition part 0 has 183 nodes of type n2 and 129 are inside the partition part 0 has 182 nodes of type n3 and 129 are inside the partition part 0 has 186 nodes of type n4 and 129 are inside the partition part 0 has 185 nodes of type n5 and 129 are inside the partition part 0 has 187 nodes of type n6 and 129 are inside the partition part 0 has 189 nodes of type n7 and 129 are inside the partition part 0 has 197 nodes of type n8 and 129 are inside the partition part 0 has 198 nodes of type n9 and 128 are inside the partition part 0 has 156 edges of type ('n1', 'r1', 'n2') and 120 are inside the partition part 0 has 153 edges of type ('n1', 'r2', 'n3') and 125 are inside the partition part 0 has 148 edges of type ('n1', 'r3', 'n4') and 119 are inside the partition part 0 has 146 edges of type ('n1', 'r4', 'n5') and 127 are inside the partition part 0 has 140 edges of type ('n1', 'r5', 'n6') and 120 are inside the partition part 0 has 151 edges of type ('n1', 'r6', 'n7') and 131 are inside the partition part 0 has 143 edges of type ('n1', 'r7', 'n8') and 127 are inside the partition part 0 has 142 edges of type ('n1', 'r8', 'n9') and 120 are inside the partition part 0 has 144 edges of type ('n1', 'r9', 'n10') and 122 are inside the partition part 0 has 155 edges of type ('n2', 'r10', 'n3') and 125 are inside the partition part 0 has 149 edges of type ('n2', 'r11', 'n4') and 119 are inside the partition part 0 has 150 edges of type ('n2', 'r12', 'n5') and 127 are inside the partition part 0 has 144 edges of type ('n2', 'r13', 'n6') and 120 are inside the partition part 0 has 147 edges of type ('n2', 'r14', 'n7') and 131 are inside the partition part 0 has 141 edges of type ('n2', 'r15', 'n8') and 127 are inside the partition part 0 has 141 edges of type ('n2', 'r16', 'n9') and 120 are inside the partition part 0 has 146 edges of type ('n2', 'r17', 'n10') and 122 are inside the partition part 0 has 146 edges of type ('n3', 'r18', 'n4') and 119 are inside the partition part 0 has 150 edges of type ('n3', 'r19', 'n5') and 127 are inside the partition part 0 has 139 edges of type ('n3', 'r20', 'n6') and 120 are inside the partition part 0 has 143 edges of type ('n3', 'r21', 'n7') and 131 are inside the partition part 0 has 139 edges of type ('n3', 'r22', 'n8') and 127 are inside the partition part 0 has 138 edges of type ('n3', 'r23', 'n9') and 120 are inside the partition part 0 has 140 edges of type ('n3', 'r24', 'n10') and 122 are inside the partition part 0 has 152 edges of type ('n4', 'r25', 'n5') and 127 are inside the partition part 0 has 141 edges of type ('n4', 'r26', 'n6') and 120 are inside the partition part 0 has 144 edges of type ('n4', 'r27', 'n7') and 131 are inside the partition part 0 has 141 edges of type ('n4', 'r28', 'n8') and 127 are inside the partition part 0 has 140 edges of type ('n4', 'r29', 'n9') and 120 are inside the partition part 0 has 140 edges of type ('n4', 'r30', 'n10') and 122 are inside the partition part 0 has 142 edges of type ('n5', 'r31', 'n6') and 120 are inside the partition part 0 has 147 edges of type ('n5', 'r32', 'n7') and 131 are inside the partition part 0 has 146 edges of type ('n5', 'r33', 'n8') and 127 are inside the partition part 0 has 140 edges of type ('n5', 'r34', 'n9') and 120 are inside the partition part 0 has 142 edges of type ('n5', 'r35', 'n10') and 122 are inside the partition part 0 has 156 edges of type ('n6', 'r36', 'n7') and 131 are inside the partition part 0 has 152 edges of type ('n6', 'r37', 'n8') and 127 are inside the partition part 0 has 150 edges of type ('n6', 'r38', 'n9') and 120 are inside the partition part 0 has 148 edges of type ('n6', 'r39', 'n10') and 122 are inside the partition part 0 has 160 edges of type ('n7', 'r40', 'n8') and 127 are inside the partition part 0 has 160 edges of type ('n7', 'r41', 'n9') and 120 are inside the partition part 0 has 158 edges of type ('n7', 'r42', 'n10') and 122 are inside the partition part 0 has 156 edges of type ('n8', 'r43', 'n9') and 120 are inside the partition part 0 has 152 edges of type ('n8', 'r44', 'n10') and 122 are inside the partition part 0 has 146 edges of type ('n9', 'r45', 'n10') and 122 are inside the partition part 1 has 196 nodes of type n1 and 109 are inside the partition part 1 has 190 nodes of type n10 and 112 are inside the partition part 1 has 193 nodes of type n2 and 107 are inside the partition part 1 has 199 nodes of type n3 and 111 are inside the partition part 1 has 195 nodes of type n4 and 109 are inside the partition part 1 has 198 nodes of type n5 and 113 are inside the partition part 1 has 200 nodes of type n6 and 108 are inside the partition part 1 has 208 nodes of type n7 and 113 are inside the partition part 1 has 196 nodes of type n8 and 105 are inside the partition part 1 has 197 nodes of type n9 and 113 are inside the partition part 1 has 139 edges of type ('n1', 'r1', 'n2') and 112 are inside the partition part 1 has 141 edges of type ('n1', 'r2', 'n3') and 114 are inside the partition part 1 has 134 edges of type ('n1', 'r3', 'n4') and 116 are inside the partition part 1 has 125 edges of type ('n1', 'r4', 'n5') and 109 are inside the partition part 1 has 122 edges of type ('n1', 'r5', 'n6') and 111 are inside the partition part 1 has 121 edges of type ('n1', 'r6', 'n7') and 107 are inside the partition part 1 has 124 edges of type ('n1', 'r7', 'n8') and 109 are inside the partition part 1 has 129 edges of type ('n1', 'r8', 'n9') and 115 are inside the partition part 1 has 121 edges of type ('n1', 'r9', 'n10') and 108 are inside the partition part 1 has 149 edges of type ('n2', 'r10', 'n3') and 114 are inside the partition part 1 has 140 edges of type ('n2', 'r11', 'n4') and 116 are inside the partition part 1 has 137 edges of type ('n2', 'r12', 'n5') and 109 are inside the partition part 1 has 133 edges of type ('n2', 'r13', 'n6') and 111 are inside the partition part 1 has 127 edges of type ('n2', 'r14', 'n7') and 107 are inside the partition part 1 has 131 edges of type ('n2', 'r15', 'n8') and 109 are inside the partition part 1 has 136 edges of type ('n2', 'r16', 'n9') and 115 are inside the partition part 1 has 132 edges of type ('n2', 'r17', 'n10') and 108 are inside the partition part 1 has 141 edges of type ('n3', 'r18', 'n4') and 116 are inside the partition part 1 has 133 edges of type ('n3', 'r19', 'n5') and 109 are inside the partition part 1 has 128 edges of type ('n3', 'r20', 'n6') and 111 are inside the partition part 1 has 125 edges of type ('n3', 'r21', 'n7') and 107 are inside the partition part 1 has 126 edges of type ('n3', 'r22', 'n8') and 109 are inside the partition part 1 has 130 edges of type ('n3', 'r23', 'n9') and 115 are inside the partition part 1 has 123 edges of type ('n3', 'r24', 'n10') and 108 are inside the partition part 1 has 138 edges of type ('n4', 'r25', 'n5') and 109 are inside the partition part 1 has 134 edges of type ('n4', 'r26', 'n6') and 111 are inside the partition part 1 has 130 edges of type ('n4', 'r27', 'n7') and 107 are inside the partition part 1 has 131 edges of type ('n4', 'r28', 'n8') and 109 are inside the partition part 1 has 137 edges of type ('n4', 'r29', 'n9') and 115 are inside the partition part 1 has 130 edges of type ('n4', 'r30', 'n10') and 108 are inside the partition part 1 has 145 edges of type ('n5', 'r31', 'n6') and 111 are inside the partition part 1 has 138 edges of type ('n5', 'r32', 'n7') and 107 are inside the partition part 1 has 138 edges of type ('n5', 'r33', 'n8') and 109 are inside the partition part 1 has 141 edges of type ('n5', 'r34', 'n9') and 115 are inside the partition part 1 has 137 edges of type ('n5', 'r35', 'n10') and 108 are inside the partition part 1 has 132 edges of type ('n6', 'r36', 'n7') and 107 are inside the partition part 1 has 131 edges of type ('n6', 'r37', 'n8') and 109 are inside the partition part 1 has 136 edges of type ('n6', 'r38', 'n9') and 115 are inside the partition part 1 has 130 edges of type ('n6', 'r39', 'n10') and 108 are inside the partition part 1 has 134 edges of type ('n7', 'r40', 'n8') and 109 are inside the partition part 1 has 138 edges of type ('n7', 'r41', 'n9') and 115 are inside the partition part 1 has 133 edges of type ('n7', 'r42', 'n10') and 108 are inside the partition part 1 has 142 edges of type ('n8', 'r43', 'n9') and 115 are inside the partition part 1 has 133 edges of type ('n8', 'r44', 'n10') and 108 are inside the partition part 1 has 139 edges of type ('n9', 'r45', 'n10') and 108 are inside the partition part 2 has 194 nodes of type n1 and 129 are inside the partition part 2 has 181 nodes of type n10 and 121 are inside the partition part 2 has 201 nodes of type n2 and 129 are inside the partition part 2 has 213 nodes of type n3 and 129 are inside the partition part 2 has 210 nodes of type n4 and 129 are inside the partition part 2 has 204 nodes of type n5 and 129 are inside the partition part 2 has 203 nodes of type n6 and 128 are inside the partition part 2 has 206 nodes of type n7 and 123 are inside the partition part 2 has 200 nodes of type n8 and 125 are inside the partition part 2 has 213 nodes of type n9 and 127 are inside the partition part 2 has 144 edges of type ('n1', 'r1', 'n2') and 120 are inside the partition part 2 has 135 edges of type ('n1', 'r2', 'n3') and 106 are inside the partition part 2 has 134 edges of type ('n1', 'r3', 'n4') and 110 are inside the partition part 2 has 132 edges of type ('n1', 'r4', 'n5') and 115 are inside the partition part 2 has 131 edges of type ('n1', 'r5', 'n6') and 112 are inside the partition part 2 has 128 edges of type ('n1', 'r6', 'n7') and 108 are inside the partition part 2 has 132 edges of type ('n1', 'r7', 'n8') and 116 are inside the partition part 2 has 131 edges of type ('n1', 'r8', 'n9') and 108 are inside the partition part 2 has 139 edges of type ('n1', 'r9', 'n10') and 123 are inside the partition part 2 has 138 edges of type ('n2', 'r10', 'n3') and 106 are inside the partition part 2 has 138 edges of type ('n2', 'r11', 'n4') and 110 are inside the partition part 2 has 138 edges of type ('n2', 'r12', 'n5') and 115 are inside the partition part 2 has 134 edges of type ('n2', 'r13', 'n6') and 112 are inside the partition part 2 has 126 edges of type ('n2', 'r14', 'n7') and 108 are inside the partition part 2 has 129 edges of type ('n2', 'r15', 'n8') and 116 are inside the partition part 2 has 130 edges of type ('n2', 'r16', 'n9') and 108 are inside the partition part 2 has 143 edges of type ('n2', 'r17', 'n10') and 123 are inside the partition part 2 has 142 edges of type ('n3', 'r18', 'n4') and 110 are inside the partition part 2 has 141 edges of type ('n3', 'r19', 'n5') and 115 are inside the partition part 2 has 135 edges of type ('n3', 'r20', 'n6') and 112 are inside the partition part 2 has 127 edges of type ('n3', 'r21', 'n7') and 108 are inside the partition part 2 has 129 edges of type ('n3', 'r22', 'n8') and 116 are inside the partition part 2 has 130 edges of type ('n3', 'r23', 'n9') and 108 are inside the partition part 2 has 140 edges of type ('n3', 'r24', 'n10') and 123 are inside the partition part 2 has 142 edges of type ('n4', 'r25', 'n5') and 115 are inside the partition part 2 has 137 edges of type ('n4', 'r26', 'n6') and 112 are inside the partition part 2 has 131 edges of type ('n4', 'r27', 'n7') and 108 are inside the partition part 2 has 133 edges of type ('n4', 'r28', 'n8') and 116 are inside the partition part 2 has 131 edges of type ('n4', 'r29', 'n9') and 108 are inside the partition part 2 has 142 edges of type ('n4', 'r30', 'n10') and 123 are inside the partition part 2 has 143 edges of type ('n5', 'r31', 'n6') and 112 are inside the partition part 2 has 133 edges of type ('n5', 'r32', 'n7') and 108 are inside the partition part 2 has 135 edges of type ('n5', 'r33', 'n8') and 116 are inside the partition part 2 has 132 edges of type ('n5', 'r34', 'n9') and 108 are inside the partition part 2 has 142 edges of type ('n5', 'r35', 'n10') and 123 are inside the partition part 2 has 140 edges of type ('n6', 'r36', 'n7') and 108 are inside the partition part 2 has 142 edges of type ('n6', 'r37', 'n8') and 116 are inside the partition part 2 has 138 edges of type ('n6', 'r38', 'n9') and 108 are inside the partition part 2 has 146 edges of type ('n6', 'r39', 'n10') and 123 are inside the partition part 2 has 141 edges of type ('n7', 'r40', 'n8') and 116 are inside the partition part 2 has 136 edges of type ('n7', 'r41', 'n9') and 108 are inside the partition part 2 has 147 edges of type ('n7', 'r42', 'n10') and 123 are inside the partition part 2 has 148 edges of type ('n8', 'r43', 'n9') and 108 are inside the partition part 2 has 154 edges of type ('n8', 'r44', 'n10') and 123 are inside the partition part 2 has 155 edges of type ('n9', 'r45', 'n10') and 123 are inside the partition part 3 has 190 nodes of type n1 and 121 are inside the partition part 3 has 194 nodes of type n10 and 127 are inside the partition part 3 has 190 nodes of type n2 and 124 are inside the partition part 3 has 197 nodes of type n3 and 124 are inside the partition part 3 has 193 nodes of type n4 and 127 are inside the partition part 3 has 197 nodes of type n5 and 128 are inside the partition part 3 has 197 nodes of type n6 and 124 are inside the partition part 3 has 198 nodes of type n7 and 123 are inside the partition part 3 has 207 nodes of type n8 and 127 are inside the partition part 3 has 200 nodes of type n9 and 121 are inside the partition part 3 has 146 edges of type ('n1', 'r1', 'n2') and 128 are inside the partition part 3 has 134 edges of type ('n1', 'r2', 'n3') and 109 are inside the partition part 3 has 139 edges of type ('n1', 'r3', 'n4') and 127 are inside the partition part 3 has 133 edges of type ('n1', 'r4', 'n5') and 123 are inside the partition part 3 has 130 edges of type ('n1', 'r5', 'n6') and 124 are inside the partition part 3 has 128 edges of type ('n1', 'r6', 'n7') and 120 are inside the partition part 3 has 128 edges of type ('n1', 'r7', 'n8') and 121 are inside the partition part 3 has 133 edges of type ('n1', 'r8', 'n9') and 118 are inside the partition part 3 has 130 edges of type ('n1', 'r9', 'n10') and 117 are inside the partition part 3 has 142 edges of type ('n2', 'r10', 'n3') and 109 are inside the partition part 3 has 144 edges of type ('n2', 'r11', 'n4') and 127 are inside the partition part 3 has 139 edges of type ('n2', 'r12', 'n5') and 123 are inside the partition part 3 has 138 edges of type ('n2', 'r13', 'n6') and 124 are inside the partition part 3 has 134 edges of type ('n2', 'r14', 'n7') and 120 are inside the partition part 3 has 134 edges of type ('n2', 'r15', 'n8') and 121 are inside the partition part 3 has 140 edges of type ('n2', 'r16', 'n9') and 118 are inside the partition part 3 has 134 edges of type ('n2', 'r17', 'n10') and 117 are inside the partition part 3 has 151 edges of type ('n3', 'r18', 'n4') and 127 are inside the partition part 3 has 145 edges of type ('n3', 'r19', 'n5') and 123 are inside the partition part 3 has 140 edges of type ('n3', 'r20', 'n6') and 124 are inside the partition part 3 has 134 edges of type ('n3', 'r21', 'n7') and 120 are inside the partition part 3 has 136 edges of type ('n3', 'r22', 'n8') and 121 are inside the partition part 3 has 139 edges of type ('n3', 'r23', 'n9') and 118 are inside the partition part 3 has 137 edges of type ('n3', 'r24', 'n10') and 117 are inside the partition part 3 has 145 edges of type ('n4', 'r25', 'n5') and 123 are inside the partition part 3 has 143 edges of type ('n4', 'r26', 'n6') and 124 are inside the partition part 3 has 135 edges of type ('n4', 'r27', 'n7') and 120 are inside the partition part 3 has 137 edges of type ('n4', 'r28', 'n8') and 121 are inside the partition part 3 has 143 edges of type ('n4', 'r29', 'n9') and 118 are inside the partition part 3 has 138 edges of type ('n4', 'r30', 'n10') and 117 are inside the partition part 3 has 149 edges of type ('n5', 'r31', 'n6') and 124 are inside the partition part 3 has 142 edges of type ('n5', 'r32', 'n7') and 120 are inside the partition part 3 has 144 edges of type ('n5', 'r33', 'n8') and 121 are inside the partition part 3 has 147 edges of type ('n5', 'r34', 'n9') and 118 are inside the partition part 3 has 143 edges of type ('n5', 'r35', 'n10') and 117 are inside the partition part 3 has 144 edges of type ('n6', 'r36', 'n7') and 120 are inside the partition part 3 has 147 edges of type ('n6', 'r37', 'n8') and 121 are inside the partition part 3 has 154 edges of type ('n6', 'r38', 'n9') and 118 are inside the partition part 3 has 148 edges of type ('n6', 'r39', 'n10') and 117 are inside the partition part 3 has 152 edges of type ('n7', 'r40', 'n8') and 121 are inside the partition part 3 has 157 edges of type ('n7', 'r41', 'n9') and 118 are inside the partition part 3 has 151 edges of type ('n7', 'r42', 'n10') and 117 are inside the partition part 3 has 154 edges of type ('n8', 'r43', 'n9') and 118 are inside the partition part 3 has 146 edges of type ('n8', 'r44', 'n10') and 117 are inside the partition part 3 has 151 edges of type ('n9', 'r45', 'n10') and 117 are inside the partition part 4 has 200 nodes of type n1 and 128 are inside the partition part 4 has 219 nodes of type n10 and 129 are inside the partition part 4 has 219 nodes of type n2 and 129 are inside the partition part 4 has 214 nodes of type n3 and 129 are inside the partition part 4 has 223 nodes of type n4 and 129 are inside the partition part 4 has 219 nodes of type n5 and 124 are inside the partition part 4 has 226 nodes of type n6 and 128 are inside the partition part 4 has 233 nodes of type n7 and 129 are inside the partition part 4 has 232 nodes of type n8 and 128 are inside the partition part 4 has 226 nodes of type n9 and 126 are inside the partition part 4 has 164 edges of type ('n1', 'r1', 'n2') and 132 are inside the partition part 4 has 172 edges of type ('n1', 'r2', 'n3') and 145 are inside the partition part 4 has 162 edges of type ('n1', 'r3', 'n4') and 132 are inside the partition part 4 has 158 edges of type ('n1', 'r4', 'n5') and 133 are inside the partition part 4 has 159 edges of type ('n1', 'r5', 'n6') and 138 are inside the partition part 4 has 167 edges of type ('n1', 'r6', 'n7') and 142 are inside the partition part 4 has 159 edges of type ('n1', 'r7', 'n8') and 142 are inside the partition part 4 has 163 edges of type ('n1', 'r8', 'n9') and 136 are inside the partition part 4 has 155 edges of type ('n1', 'r9', 'n10') and 129 are inside the partition part 4 has 181 edges of type ('n2', 'r10', 'n3') and 145 are inside the partition part 4 has 169 edges of type ('n2', 'r11', 'n4') and 132 are inside the partition part 4 has 169 edges of type ('n2', 'r12', 'n5') and 133 are inside the partition part 4 has 169 edges of type ('n2', 'r13', 'n6') and 138 are inside the partition part 4 has 172 edges of type ('n2', 'r14', 'n7') and 142 are inside the partition part 4 has 168 edges of type ('n2', 'r15', 'n8') and 142 are inside the partition part 4 has 170 edges of type ('n2', 'r16', 'n9') and 136 are inside the partition part 4 has 164 edges of type ('n2', 'r17', 'n10') and 129 are inside the partition part 4 has 172 edges of type ('n3', 'r18', 'n4') and 132 are inside the partition part 4 has 167 edges of type ('n3', 'r19', 'n5') and 133 are inside the partition part 4 has 167 edges of type ('n3', 'r20', 'n6') and 138 are inside the partition part 4 has 173 edges of type ('n3', 'r21', 'n7') and 142 are inside the partition part 4 has 165 edges of type ('n3', 'r22', 'n8') and 142 are inside the partition part 4 has 169 edges of type ('n3', 'r23', 'n9') and 136 are inside the partition part 4 has 158 edges of type ('n3', 'r24', 'n10') and 129 are inside the partition part 4 has 173 edges of type ('n4', 'r25', 'n5') and 133 are inside the partition part 4 has 170 edges of type ('n4', 'r26', 'n6') and 138 are inside the partition part 4 has 173 edges of type ('n4', 'r27', 'n7') and 142 are inside the partition part 4 has 168 edges of type ('n4', 'r28', 'n8') and 142 are inside the partition part 4 has 173 edges of type ('n4', 'r29', 'n9') and 136 are inside the partition part 4 has 163 edges of type ('n4', 'r30', 'n10') and 129 are inside the partition part 4 has 180 edges of type ('n5', 'r31', 'n6') and 138 are inside the partition part 4 has 184 edges of type ('n5', 'r32', 'n7') and 142 are inside the partition part 4 has 174 edges of type ('n5', 'r33', 'n8') and 142 are inside the partition part 4 has 180 edges of type ('n5', 'r34', 'n9') and 136 are inside the partition part 4 has 172 edges of type ('n5', 'r35', 'n10') and 129 are inside the partition part 4 has 182 edges of type ('n6', 'r36', 'n7') and 142 are inside the partition part 4 has 180 edges of type ('n6', 'r37', 'n8') and 142 are inside the partition part 4 has 180 edges of type ('n6', 'r38', 'n9') and 136 are inside the partition part 4 has 172 edges of type ('n6', 'r39', 'n10') and 129 are inside the partition part 4 has 181 edges of type ('n7', 'r40', 'n8') and 142 are inside the partition part 4 has 187 edges of type ('n7', 'r41', 'n9') and 136 are inside the partition part 4 has 175 edges of type ('n7', 'r42', 'n10') and 129 are inside the partition part 4 has 184 edges of type ('n8', 'r43', 'n9') and 136 are inside the partition part 4 has 174 edges of type ('n8', 'r44', 'n10') and 129 are inside the partition part 4 has 171 edges of type ('n9', 'r45', 'n10') and 129 are inside the partition part 5 has 180 nodes of type n1 and 129 are inside the partition part 5 has 196 nodes of type n10 and 129 are inside the partition part 5 has 210 nodes of type n2 and 127 are inside the partition part 5 has 208 nodes of type n3 and 127 are inside the partition part 5 has 205 nodes of type n4 and 125 are inside the partition part 5 has 191 nodes of type n5 and 126 are inside the partition part 5 has 198 nodes of type n6 and 128 are inside the partition part 5 has 202 nodes of type n7 and 127 are inside the partition part 5 has 196 nodes of type n8 and 128 are inside the partition part 5 has 208 nodes of type n9 and 129 are inside the partition part 5 has 171 edges of type ('n1', 'r1', 'n2') and 128 are inside the partition part 5 has 170 edges of type ('n1', 'r2', 'n3') and 137 are inside the partition part 5 has 169 edges of type ('n1', 'r3', 'n4') and 135 are inside the partition part 5 has 165 edges of type ('n1', 'r4', 'n5') and 142 are inside the partition part 5 has 164 edges of type ('n1', 'r5', 'n6') and 135 are inside the partition part 5 has 157 edges of type ('n1', 'r6', 'n7') and 129 are inside the partition part 5 has 159 edges of type ('n1', 'r7', 'n8') and 132 are inside the partition part 5 has 156 edges of type ('n1', 'r8', 'n9') and 129 are inside the partition part 5 has 160 edges of type ('n1', 'r9', 'n10') and 134 are inside the partition part 5 has 168 edges of type ('n2', 'r10', 'n3') and 137 are inside the partition part 5 has 164 edges of type ('n2', 'r11', 'n4') and 135 are inside the partition part 5 has 165 edges of type ('n2', 'r12', 'n5') and 142 are inside the partition part 5 has 158 edges of type ('n2', 'r13', 'n6') and 135 are inside the partition part 5 has 152 edges of type ('n2', 'r14', 'n7') and 129 are inside the partition part 5 has 152 edges of type ('n2', 'r15', 'n8') and 132 are inside the partition part 5 has 150 edges of type ('n2', 'r16', 'n9') and 129 are inside the partition part 5 has 152 edges of type ('n2', 'r17', 'n10') and 134 are inside the partition part 5 has 170 edges of type ('n3', 'r18', 'n4') and 135 are inside the partition part 5 has 168 edges of type ('n3', 'r19', 'n5') and 142 are inside the partition part 5 has 159 edges of type ('n3', 'r20', 'n6') and 135 are inside the partition part 5 has 154 edges of type ('n3', 'r21', 'n7') and 129 are inside the partition part 5 has 155 edges of type ('n3', 'r22', 'n8') and 132 are inside the partition part 5 has 152 edges of type ('n3', 'r23', 'n9') and 129 are inside the partition part 5 has 151 edges of type ('n3', 'r24', 'n10') and 134 are inside the partition part 5 has 164 edges of type ('n4', 'r25', 'n5') and 142 are inside the partition part 5 has 155 edges of type ('n4', 'r26', 'n6') and 135 are inside the partition part 5 has 151 edges of type ('n4', 'r27', 'n7') and 129 are inside the partition part 5 has 150 edges of type ('n4', 'r28', 'n8') and 132 are inside the partition part 5 has 149 edges of type ('n4', 'r29', 'n9') and 129 are inside the partition part 5 has 148 edges of type ('n4', 'r30', 'n10') and 134 are inside the partition part 5 has 169 edges of type ('n5', 'r31', 'n6') and 135 are inside the partition part 5 has 166 edges of type ('n5', 'r32', 'n7') and 129 are inside the partition part 5 has 163 edges of type ('n5', 'r33', 'n8') and 132 are inside the partition part 5 has 159 edges of type ('n5', 'r34', 'n9') and 129 are inside the partition part 5 has 160 edges of type ('n5', 'r35', 'n10') and 134 are inside the partition part 5 has 168 edges of type ('n6', 'r36', 'n7') and 129 are inside the partition part 5 has 167 edges of type ('n6', 'r37', 'n8') and 132 are inside the partition part 5 has 161 edges of type ('n6', 'r38', 'n9') and 129 are inside the partition part 5 has 163 edges of type ('n6', 'r39', 'n10') and 134 are inside the partition part 5 has 160 edges of type ('n7', 'r40', 'n8') and 132 are inside the partition part 5 has 156 edges of type ('n7', 'r41', 'n9') and 129 are inside the partition part 5 has 157 edges of type ('n7', 'r42', 'n10') and 134 are inside the partition part 5 has 166 edges of type ('n8', 'r43', 'n9') and 129 are inside the partition part 5 has 165 edges of type ('n8', 'r44', 'n10') and 134 are inside the partition part 5 has 166 edges of type ('n9', 'r45', 'n10') and 134 are inside the partition part 6 has 199 nodes of type n1 and 126 are inside the partition part 6 has 188 nodes of type n10 and 124 are inside the partition part 6 has 213 nodes of type n2 and 126 are inside the partition part 6 has 200 nodes of type n3 and 123 are inside the partition part 6 has 203 nodes of type n4 and 126 are inside the partition part 6 has 209 nodes of type n5 and 122 are inside the partition part 6 has 214 nodes of type n6 and 127 are inside the partition part 6 has 209 nodes of type n7 and 127 are inside the partition part 6 has 222 nodes of type n8 and 129 are inside the partition part 6 has 209 nodes of type n9 and 127 are inside the partition part 6 has 150 edges of type ('n1', 'r1', 'n2') and 112 are inside the partition part 6 has 151 edges of type ('n1', 'r2', 'n3') and 117 are inside the partition part 6 has 141 edges of type ('n1', 'r3', 'n4') and 113 are inside the partition part 6 has 130 edges of type ('n1', 'r4', 'n5') and 102 are inside the partition part 6 has 130 edges of type ('n1', 'r5', 'n6') and 103 are inside the partition part 6 has 136 edges of type ('n1', 'r6', 'n7') and 114 are inside the partition part 6 has 135 edges of type ('n1', 'r7', 'n8') and 108 are inside the partition part 6 has 146 edges of type ('n1', 'r8', 'n9') and 124 are inside the partition part 6 has 152 edges of type ('n1', 'r9', 'n10') and 129 are inside the partition part 6 has 147 edges of type ('n2', 'r10', 'n3') and 117 are inside the partition part 6 has 139 edges of type ('n2', 'r11', 'n4') and 113 are inside the partition part 6 has 129 edges of type ('n2', 'r12', 'n5') and 102 are inside the partition part 6 has 130 edges of type ('n2', 'r13', 'n6') and 103 are inside the partition part 6 has 133 edges of type ('n2', 'r14', 'n7') and 114 are inside the partition part 6 has 130 edges of type ('n2', 'r15', 'n8') and 108 are inside the partition part 6 has 142 edges of type ('n2', 'r16', 'n9') and 124 are inside the partition part 6 has 150 edges of type ('n2', 'r17', 'n10') and 129 are inside the partition part 6 has 142 edges of type ('n3', 'r18', 'n4') and 113 are inside the partition part 6 has 131 edges of type ('n3', 'r19', 'n5') and 102 are inside the partition part 6 has 131 edges of type ('n3', 'r20', 'n6') and 103 are inside the partition part 6 has 135 edges of type ('n3', 'r21', 'n7') and 114 are inside the partition part 6 has 133 edges of type ('n3', 'r22', 'n8') and 108 are inside the partition part 6 has 142 edges of type ('n3', 'r23', 'n9') and 124 are inside the partition part 6 has 150 edges of type ('n3', 'r24', 'n10') and 129 are inside the partition part 6 has 128 edges of type ('n4', 'r25', 'n5') and 102 are inside the partition part 6 has 129 edges of type ('n4', 'r26', 'n6') and 103 are inside the partition part 6 has 129 edges of type ('n4', 'r27', 'n7') and 114 are inside the partition part 6 has 126 edges of type ('n4', 'r28', 'n8') and 108 are inside the partition part 6 has 138 edges of type ('n4', 'r29', 'n9') and 124 are inside the partition part 6 has 146 edges of type ('n4', 'r30', 'n10') and 129 are inside the partition part 6 has 133 edges of type ('n5', 'r31', 'n6') and 103 are inside the partition part 6 has 134 edges of type ('n5', 'r32', 'n7') and 114 are inside the partition part 6 has 131 edges of type ('n5', 'r33', 'n8') and 108 are inside the partition part 6 has 142 edges of type ('n5', 'r34', 'n9') and 124 are inside the partition part 6 has 150 edges of type ('n5', 'r35', 'n10') and 129 are inside the partition part 6 has 140 edges of type ('n6', 'r36', 'n7') and 114 are inside the partition part 6 has 137 edges of type ('n6', 'r37', 'n8') and 108 are inside the partition part 6 has 145 edges of type ('n6', 'r38', 'n9') and 124 are inside the partition part 6 has 153 edges of type ('n6', 'r39', 'n10') and 129 are inside the partition part 6 has 146 edges of type ('n7', 'r40', 'n8') and 108 are inside the partition part 6 has 156 edges of type ('n7', 'r41', 'n9') and 124 are inside the partition part 6 has 166 edges of type ('n7', 'r42', 'n10') and 129 are inside the partition part 6 has 154 edges of type ('n8', 'r43', 'n9') and 124 are inside the partition part 6 has 160 edges of type ('n8', 'r44', 'n10') and 129 are inside the partition part 6 has 171 edges of type ('n9', 'r45', 'n10') and 129 are inside the partition part 7 has 190 nodes of type n1 and 129 are inside the partition part 7 has 195 nodes of type n10 and 129 are inside the partition part 7 has 198 nodes of type n2 and 129 are inside the partition part 7 has 205 nodes of type n3 and 128 are inside the partition part 7 has 206 nodes of type n4 and 126 are inside the partition part 7 has 212 nodes of type n5 and 129 are inside the partition part 7 has 207 nodes of type n6 and 128 are inside the partition part 7 has 213 nodes of type n7 and 129 are inside the partition part 7 has 214 nodes of type n8 and 129 are inside the partition part 7 has 202 nodes of type n9 and 129 are inside the partition part 7 has 183 edges of type ('n1', 'r1', 'n2') and 148 are inside the partition part 7 has 174 edges of type ('n1', 'r2', 'n3') and 147 are inside the partition part 7 has 176 edges of type ('n1', 'r3', 'n4') and 148 are inside the partition part 7 has 169 edges of type ('n1', 'r4', 'n5') and 149 are inside the partition part 7 has 173 edges of type ('n1', 'r5', 'n6') and 157 are inside the partition part 7 has 171 edges of type ('n1', 'r6', 'n7') and 149 are inside the partition part 7 has 166 edges of type ('n1', 'r7', 'n8') and 145 are inside the partition part 7 has 171 edges of type ('n1', 'r8', 'n9') and 150 are inside the partition part 7 has 169 edges of type ('n1', 'r9', 'n10') and 138 are inside the partition part 7 has 176 edges of type ('n2', 'r10', 'n3') and 147 are inside the partition part 7 has 179 edges of type ('n2', 'r11', 'n4') and 148 are inside the partition part 7 has 175 edges of type ('n2', 'r12', 'n5') and 149 are inside the partition part 7 has 179 edges of type ('n2', 'r13', 'n6') and 157 are inside the partition part 7 has 174 edges of type ('n2', 'r14', 'n7') and 149 are inside the partition part 7 has 172 edges of type ('n2', 'r15', 'n8') and 145 are inside the partition part 7 has 177 edges of type ('n2', 'r16', 'n9') and 150 are inside the partition part 7 has 173 edges of type ('n2', 'r17', 'n10') and 138 are inside the partition part 7 has 181 edges of type ('n3', 'r18', 'n4') and 148 are inside the partition part 7 has 173 edges of type ('n3', 'r19', 'n5') and 149 are inside the partition part 7 has 178 edges of type ('n3', 'r20', 'n6') and 157 are inside the partition part 7 has 171 edges of type ('n3', 'r21', 'n7') and 149 are inside the partition part 7 has 170 edges of type ('n3', 'r22', 'n8') and 145 are inside the partition part 7 has 170 edges of type ('n3', 'r23', 'n9') and 150 are inside the partition part 7 has 164 edges of type ('n3', 'r24', 'n10') and 138 are inside the partition part 7 has 173 edges of type ('n4', 'r25', 'n5') and 149 are inside the partition part 7 has 180 edges of type ('n4', 'r26', 'n6') and 157 are inside the partition part 7 has 169 edges of type ('n4', 'r27', 'n7') and 149 are inside the partition part 7 has 166 edges of type ('n4', 'r28', 'n8') and 145 are inside the partition part 7 has 168 edges of type ('n4', 'r29', 'n9') and 150 are inside the partition part 7 has 165 edges of type ('n4', 'r30', 'n10') and 138 are inside the partition part 7 has 182 edges of type ('n5', 'r31', 'n6') and 157 are inside the partition part 7 has 175 edges of type ('n5', 'r32', 'n7') and 149 are inside the partition part 7 has 169 edges of type ('n5', 'r33', 'n8') and 145 are inside the partition part 7 has 168 edges of type ('n5', 'r34', 'n9') and 150 are inside the partition part 7 has 162 edges of type ('n5', 'r35', 'n10') and 138 are inside the partition part 7 has 173 edges of type ('n6', 'r36', 'n7') and 149 are inside the partition part 7 has 171 edges of type ('n6', 'r37', 'n8') and 145 are inside the partition part 7 has 169 edges of type ('n6', 'r38', 'n9') and 150 are inside the partition part 7 has 162 edges of type ('n6', 'r39', 'n10') and 138 are inside the partition part 7 has 179 edges of type ('n7', 'r40', 'n8') and 145 are inside the partition part 7 has 175 edges of type ('n7', 'r41', 'n9') and 150 are inside the partition part 7 has 171 edges of type ('n7', 'r42', 'n10') and 138 are inside the partition part 7 has 170 edges of type ('n8', 'r43', 'n9') and 150 are inside the partition part 7 has 162 edges of type ('n8', 'r44', 'n10') and 138 are inside the partition part 7 has 176 edges of type ('n9', 'r45', 'n10') and 138 are inside the partition Save partitions: 0.075 seconds, peak memory: 1.164 GB There are 45000 edges in the graph and 0 edge cuts for 8 partitions. PASSED [ 19%] tests/tools/test_change_etype_to_canonical_etype.py::test_homo_graph[100-2] Converting to homogeneous graph takes 0.001s, peak mem: 1.164 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.164 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.164 GB [06:06:35] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 100 nodes and 20 edges into 2 parts and get 0 edge cuts Metis partitioning: 0.000 seconds, peak memory: 1.164 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.164 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.000 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.002s, peak mem: 1.164 GB part 0 has 50 nodes and 50 are inside the partition part 0 has 6 edges and 6 are inside the partition part 1 has 50 nodes and 50 are inside the partition part 1 has 4 edges and 4 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.164 GB There are 10 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 21%] tests/tools/test_change_etype_to_canonical_etype.py::test_homo_graph[500-4] Converting to homogeneous graph takes 0.001s, peak mem: 1.164 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.164 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.164 GB [06:06:35] /root/jenkins/workspace/dgl_PR-4483@5/src/graph/transform/metis_partition_hetero.cc:89: Partition a graph with 500 nodes and 99 edges into 4 parts and get 0 edge cuts Metis partitioning: 0.000 seconds, peak memory: 1.164 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.164 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.000 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.164 GB part 0 has 125 nodes and 125 are inside the partition part 0 has 18 edges and 18 are inside the partition part 1 has 125 nodes and 125 are inside the partition part 1 has 13 edges and 13 are inside the partition part 2 has 125 nodes and 125 are inside the partition part 2 has 12 edges and 12 are inside the partition part 3 has 125 nodes and 125 are inside the partition part 3 has 7 edges and 7 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.164 GB There are 50 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 22%] tests/tools/test_dist_part.py::test_chunk_graph_basics[csv-numpy-1] Done with creating chunked graph PASSED [ 24%] tests/tools/test_dist_part.py::test_chunk_graph_basics[csv-numpy-8] Done with creating chunked graph PASSED [ 26%] tests/tools/test_dist_part.py::test_chunk_graph_basics[csv-parquet-1] Done with creating chunked graph PASSED [ 28%] tests/tools/test_dist_part.py::test_chunk_graph_basics[csv-parquet-8] Done with creating chunked graph PASSED [ 29%] tests/tools/test_dist_part.py::test_chunk_graph_basics[parquet-numpy-1] Done with creating chunked graph PASSED [ 31%] tests/tools/test_dist_part.py::test_chunk_graph_basics[parquet-numpy-8] Done with creating chunked graph PASSED [ 33%] tests/tools/test_dist_part.py::test_chunk_graph_basics[parquet-parquet-1] Done with creating chunked graph PASSED [ 35%] tests/tools/test_dist_part.py::test_chunk_graph_basics[parquet-parquet-8] Done with creating chunked graph PASSED [ 36%] tests/tools/test_dist_part.py::test_chunk_graph_vector_rows[True-1] Done with creating chunked graph PASSED [ 38%] tests/tools/test_dist_part.py::test_chunk_graph_vector_rows[True-8] Done with creating chunked graph PASSED [ 40%] tests/tools/test_dist_part.py::test_chunk_graph_vector_rows[False-1] Done with creating chunked graph PASSED [ 42%] tests/tools/test_dist_part.py::test_chunk_graph_vector_rows[False-8] Done with creating chunked graph PASSED [ 43%] tests/tools/test_dist_part.py::test_chunk_graph_arbitray_chunks[1-None-None-None-None] Done with creating chunked graph PASSED [ 45%] tests/tools/test_dist_part.py::test_chunk_graph_arbitray_chunks[8-None-None-None-None] Done with creating chunked graph PASSED [ 47%] tests/tools/test_dist_part.py::test_chunk_graph_arbitray_chunks[4-4-4-8-12] Done with creating chunked graph PASSED [ 49%] tests/tools/test_dist_part.py::test_chunk_graph_arbitray_chunks[4-4-4-num_chunks_node_data3-num_chunks_edge_data3] Done with creating chunked graph PASSED [ 50%] tests/tools/test_dist_part.py::test_chunk_graph_arbitray_chunks[4-4-4-num_chunks_node_data4-num_chunks_edge_data4] Done with creating chunked graph PASSED [ 52%] tests/tools/test_dist_part.py::test_pipeline_basics[4-4-4] Done with creating chunked graph INFO:root:Changing directory to /tmp/tmp2ywzlgkx/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4483@7 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4483@7 /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp2ywzlgkx/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp2ywzlgkx/parted_data --input-dir /tmp/tmp2ywzlgkx/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp2ywzlgkx/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp2ywzlgkx/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp2ywzlgkx/parted_data --input-dir /tmp/tmp2ywzlgkx/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp2ywzlgkx/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp2ywzlgkx/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp2ywzlgkx/parted_data --input-dir /tmp/tmp2ywzlgkx/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp2ywzlgkx/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp2ywzlgkx/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp2ywzlgkx/parted_data --input-dir /tmp/tmp2ywzlgkx/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp2ywzlgkx/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp2ywzlgkx/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp2ywzlgkx/parted_data --input-dir /tmp/tmp2ywzlgkx/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp2ywzlgkx/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs Warning: Permanently added '127.0.0.1' (ECDSA) to the list of known hosts. Warning: Permanently added '127.0.0.3' (ECDSA) to the list of known hosts. Warning: Permanently added '127.0.0.2' (ECDSA) to the list of known hosts. Warning: Permanently added '127.0.0.4' (ECDSA) to the list of known hosts. [41798a58345e INFO 2023-01-08 06:06:44,998 PID:4206] Added key: store_based_barrier_key:1 to store for rank: 0 [41798a58345e INFO 2023-01-08 06:06:45,008 PID:4207] Added key: store_based_barrier_key:1 to store for rank: 1 [41798a58345e INFO 2023-01-08 06:06:45,018 PID:4208] Added key: store_based_barrier_key:1 to store for rank: 2 DGL backend not selected or invalid. Assuming PyTorch for now. [41798a58345e INFO 2023-01-08 06:06:45,018 PID:4205] Added key: store_based_barrier_key:1 to store for rank: 3 [41798a58345e INFO 2023-01-08 06:06:45,019 PID:4208] Rank 2: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:06:45,019 PID:4205] Rank 3: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:06:45,019 PID:4207] Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:06:45,019 PID:4206] Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:06:45,019 PID:4206] [Rank: 0] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:06:45,020 PID:4206] [Rank: 0] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:06:45,020 PID:4207] [Rank: 1] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:06:45,020 PID:4207] [Rank: 1] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:06:45,020 PID:4208] [Rank: 2] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:06:45,020 PID:4205] [Rank: 3] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:06:45,020 PID:4208] [Rank: 2] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:06:45,020 PID:4205] [Rank: 3] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:06:45,022 PID:4206] [Rank: 0] Reading file: /tmp/tmp2ywzlgkx/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:06:45,023 PID:4207] [Rank: 1] Reading file: /tmp/tmp2ywzlgkx/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:06:45,023 PID:4208] [Rank: 2] Reading file: /tmp/tmp2ywzlgkx/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:06:45,023 PID:4205] [Rank: 3] Reading file: /tmp/tmp2ywzlgkx/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:06:45,025 PID:4206] [Rank: 0] Reading file: /tmp/tmp2ywzlgkx/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:06:45,025 PID:4207] [Rank: 1] Reading file: /tmp/tmp2ywzlgkx/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:06:45,025 PID:4208] [Rank: 2] Reading file: /tmp/tmp2ywzlgkx/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:06:45,026 PID:4205] [Rank: 3] Reading file: /tmp/tmp2ywzlgkx/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:06:45,026 PID:4206] [Rank: 0] Reading file: /tmp/tmp2ywzlgkx/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:06:45,027 PID:4207] [Rank: 1] Reading file: /tmp/tmp2ywzlgkx/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:06:45,027 PID:4208] [Rank: 2] Reading file: /tmp/tmp2ywzlgkx/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:06:45,027 PID:4205] [Rank: 3] Reading file: /tmp/tmp2ywzlgkx/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:06:45,028 PID:4206] [Rank: 0] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:06:45,028 PID:4207] [Rank: 1] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:06:45,028 PID:4208] [Rank: 2] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:06:45,028 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,029 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,029 PID:4205] [Rank: 3] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:06:45,029 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,029 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,030 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:45,030 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:45,030 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:45,031 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:45,124 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,124 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,124 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,124 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,124 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:45,124 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:45,124 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:45,124 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:45,165 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,165 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,165 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,165 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,165 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:45,165 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:45,166 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:45,166 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/author/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:45,204 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,204 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,204 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,204 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,205 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:45,205 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:45,205 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:45,205 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:45,242 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,242 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,242 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,242 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,242 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:45,242 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:45,242 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:45,242 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:45,279 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,279 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,279 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,279 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,280 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:45,280 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:45,280 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:45,280 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/institution/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:45,317 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/feat-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,317 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/feat-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,317 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/feat-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,317 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/feat-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,317 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/feat-0.npy [41798a58345e INFO 2023-01-08 06:06:45,317 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/feat-3.npy [41798a58345e INFO 2023-01-08 06:06:45,317 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/feat-1.npy [41798a58345e INFO 2023-01-08 06:06:45,317 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/feat-2.npy [41798a58345e INFO 2023-01-08 06:06:45,354 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/label-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,354 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/label-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,354 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/label-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,354 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/label-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,355 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/label-0.npy [41798a58345e INFO 2023-01-08 06:06:45,355 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/label-3.npy [41798a58345e INFO 2023-01-08 06:06:45,355 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/label-1.npy [41798a58345e INFO 2023-01-08 06:06:45,355 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/label-2.npy [41798a58345e INFO 2023-01-08 06:06:45,391 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,391 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,391 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,391 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,392 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:06:45,392 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:06:45,392 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:06:45,392 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:06:45,429 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,429 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,429 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,429 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,429 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:45,429 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:45,429 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:45,429 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:45,466 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,466 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,466 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,466 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,467 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:45,467 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:45,467 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:45,467 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:45,504 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,504 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,504 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,504 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,504 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:45,504 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:45,504 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:45,504 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:45,543 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,544 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,544 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,544 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,544 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/year-1.npy [41798a58345e INFO 2023-01-08 06:06:45,544 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/year-0.npy [41798a58345e INFO 2023-01-08 06:06:45,544 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/year-3.npy [41798a58345e INFO 2023-01-08 06:06:45,544 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/node_data/paper/year-2.npy [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4206] [Rank: 0] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4206] [Rank: 0] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4206] [Rank: 0] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4206] [Rank: 0] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4206] [Rank: 0] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4206] [Rank: 0] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4206] [Rank: 0] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4206] [Rank: 0] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4206] [Rank: 0] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4206] [Rank: 0] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4206] [Rank: 0] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4206] [Rank: 0] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4206] [Rank: 0] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4207] [Rank: 1] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4207] [Rank: 1] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4207] [Rank: 1] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4207] [Rank: 1] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4207] [Rank: 1] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4207] [Rank: 1] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4207] [Rank: 1] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4207] [Rank: 1] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4207] [Rank: 1] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4207] [Rank: 1] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4207] [Rank: 1] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4208] [Rank: 2] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4208] [Rank: 2] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4208] [Rank: 2] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4208] [Rank: 2] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4208] [Rank: 2] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4208] [Rank: 2] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4208] [Rank: 2] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4208] [Rank: 2] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4208] [Rank: 2] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4208] [Rank: 2] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4208] [Rank: 2] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4208] [Rank: 2] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4205] [Rank: 3] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4205] [Rank: 3] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4205] [Rank: 3] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4205] [Rank: 3] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4205] [Rank: 3] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4205] [Rank: 3] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4205] [Rank: 3] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4205] [Rank: 3] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4205] [Rank: 3] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4205] [Rank: 3] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4205] [Rank: 3] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,582 PID:4205] [Rank: 3] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4205] [Rank: 3] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4207] [Rank: 1] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4207] [Rank: 1] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4208] [Rank: 2] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:06:45,583 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:06:45,622 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,622 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,622 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,622 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,622 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:45,622 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:45,622 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:45,622 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:45,660 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,660 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,660 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,660 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,660 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:45,660 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:45,660 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:45,660 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:45,698 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,698 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,698 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,698 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,698 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:45,698 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:45,698 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:45,698 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:45,735 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,735 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,735 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,735 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,736 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:06:45,736 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:06:45,736 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:06:45,736 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/author:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:06:45,775 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/institution:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,775 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/institution:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,775 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/institution:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,775 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/institution:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,776 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/institution:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:06:45,776 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/institution:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:06:45,776 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/institution:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:06:45,776 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/institution:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:06:45,814 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:cites:paper/count-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,814 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:cites:paper/count-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,814 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:cites:paper/count-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,814 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:cites:paper/count-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,815 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:cites:paper/count-3.npy [41798a58345e INFO 2023-01-08 06:06:45,815 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:cites:paper/count-2.npy [41798a58345e INFO 2023-01-08 06:06:45,815 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:cites:paper/count-0.npy [41798a58345e INFO 2023-01-08 06:06:45,815 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:cites:paper/count-1.npy [41798a58345e INFO 2023-01-08 06:06:45,852 PID:4206] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:rev_writes:author/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,852 PID:4208] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:rev_writes:author/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,852 PID:4205] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:rev_writes:author/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,852 PID:4207] Reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:rev_writes:author/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:45,853 PID:4206] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [41798a58345e INFO 2023-01-08 06:06:45,853 PID:4205] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [41798a58345e INFO 2023-01-08 06:06:45,853 PID:4208] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [41798a58345e INFO 2023-01-08 06:06:45,853 PID:4207] Done reading from /tmp/tmp2ywzlgkx/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4206] [Rank: 0] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4206] [Rank: 0] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4206] [Rank: 0] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4206] [Rank: 0] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4206] [Rank: 0] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4206] [Rank: 0] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4206] [Rank: 0] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4206] [Rank: 0] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4205] [Rank: 3] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4205] [Rank: 3] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4205] [Rank: 3] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4205] [Rank: 3] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4205] [Rank: 3] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4205] [Rank: 3] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4205] [Rank: 3] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4205] [Rank: 3] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4207] [Rank: 1] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4207] [Rank: 1] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4207] [Rank: 1] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4207] [Rank: 1] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4207] [Rank: 1] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4207] [Rank: 1] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4207] [Rank: 1] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4207] [Rank: 1] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4208] [Rank: 2] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4208] [Rank: 2] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4208] [Rank: 2] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4208] [Rank: 2] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4208] [Rank: 2] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4208] [Rank: 2] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4208] [Rank: 2] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4208] [Rank: 2] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4205] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/author:affiliated_with:institution3.txt [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4207] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/author:affiliated_with:institution1.txt [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4206] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/author:affiliated_with:institution0.txt [41798a58345e INFO 2023-01-08 06:06:45,890 PID:4208] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/author:affiliated_with:institution2.txt [41798a58345e INFO 2023-01-08 06:06:45,891 PID:4206] Loading edges of etype[author:writes:paper] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/author:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:06:45,891 PID:4208] Loading edges of etype[author:writes:paper] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/author:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:06:45,891 PID:4207] Loading edges of etype[author:writes:paper] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/author:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:06:45,891 PID:4205] Loading edges of etype[author:writes:paper] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/author:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:06:45,893 PID:4205] Loading edges of etype[institution:writes:paper] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/institution:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:06:45,893 PID:4208] Loading edges of etype[institution:writes:paper] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/institution:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:06:45,893 PID:4206] Loading edges of etype[institution:writes:paper] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/institution:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:06:45,893 PID:4207] Loading edges of etype[institution:writes:paper] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/institution:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:06:45,894 PID:4205] Loading edges of etype[paper:cites:paper] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/paper:cites:paper3.txt [41798a58345e INFO 2023-01-08 06:06:45,894 PID:4208] Loading edges of etype[paper:cites:paper] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/paper:cites:paper2.txt [41798a58345e INFO 2023-01-08 06:06:45,894 PID:4206] Loading edges of etype[paper:cites:paper] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/paper:cites:paper0.txt [41798a58345e INFO 2023-01-08 06:06:45,894 PID:4207] Loading edges of etype[paper:cites:paper] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/paper:cites:paper1.txt [41798a58345e INFO 2023-01-08 06:06:45,895 PID:4205] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/paper:rev_writes:author3.txt [41798a58345e INFO 2023-01-08 06:06:45,896 PID:4208] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/paper:rev_writes:author2.txt [41798a58345e INFO 2023-01-08 06:06:45,896 PID:4206] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/paper:rev_writes:author0.txt [41798a58345e INFO 2023-01-08 06:06:45,896 PID:4207] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2ywzlgkx/chunked-data/edge_index/paper:rev_writes:author1.txt [41798a58345e INFO 2023-01-08 06:06:45,896 PID:4205] [Rank: 3] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:06:45,897 PID:4205] Rank: 3 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(9000, 12000)], 'author:writes:paper/test_mask/0': [(9000, 12000)], 'author:writes:paper/train_mask/0': [(9000, 12000)], 'author:writes:paper/val_mask/0': [(9000, 12000)], 'author:writes:paper/year/0': [(9000, 12000)], 'institution:writes:paper/year/0': [(9000, 12000)], 'paper:cites:paper/count/0': [(18000, 24000)], 'paper:rev_writes:author/year/0': [(9000, 12000)]} [41798a58345e INFO 2023-01-08 06:06:45,897 PID:4205] [Rank: 3] Done reading dataset /tmp/tmp2ywzlgkx/chunked-data [41798a58345e INFO 2023-01-08 06:06:45,897 PID:4208] [Rank: 2] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:06:45,897 PID:4206] [Rank: 0] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:06:45,897 PID:4208] Rank: 2 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(6000, 9000)], 'author:writes:paper/test_mask/0': [(6000, 9000)], 'author:writes:paper/train_mask/0': [(6000, 9000)], 'author:writes:paper/val_mask/0': [(6000, 9000)], 'author:writes:paper/year/0': [(6000, 9000)], 'institution:writes:paper/year/0': [(6000, 9000)], 'paper:cites:paper/count/0': [(12000, 18000)], 'paper:rev_writes:author/year/0': [(6000, 9000)]} [41798a58345e INFO 2023-01-08 06:06:45,897 PID:4208] [Rank: 2] Done reading dataset /tmp/tmp2ywzlgkx/chunked-data [41798a58345e INFO 2023-01-08 06:06:45,897 PID:4206] Rank: 0 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(0, 3000)], 'author:writes:paper/test_mask/0': [(0, 3000)], 'author:writes:paper/train_mask/0': [(0, 3000)], 'author:writes:paper/val_mask/0': [(0, 3000)], 'author:writes:paper/year/0': [(0, 3000)], 'institution:writes:paper/year/0': [(0, 3000)], 'paper:cites:paper/count/0': [(0, 6000)], 'paper:rev_writes:author/year/0': [(0, 3000)]} [41798a58345e INFO 2023-01-08 06:06:45,897 PID:4207] [Rank: 1] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:06:45,897 PID:4206] [Rank: 0] Done reading dataset /tmp/tmp2ywzlgkx/chunked-data [41798a58345e INFO 2023-01-08 06:06:45,897 PID:4207] Rank: 1 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(3000, 6000)], 'author:writes:paper/test_mask/0': [(3000, 6000)], 'author:writes:paper/train_mask/0': [(3000, 6000)], 'author:writes:paper/val_mask/0': [(3000, 6000)], 'author:writes:paper/year/0': [(3000, 6000)], 'institution:writes:paper/year/0': [(3000, 6000)], 'paper:cites:paper/count/0': [(6000, 12000)], 'paper:rev_writes:author/year/0': [(3000, 6000)]} [41798a58345e INFO 2023-01-08 06:06:45,897 PID:4207] [Rank: 1] Done reading dataset /tmp/tmp2ywzlgkx/chunked-data [41798a58345e INFO 2023-01-08 06:06:46,126 PID:4208] [Rank: 2] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:06:46,126 PID:4208] [Rank: 2] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:06:46,127 PID:4208] [Rank: 2] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,127 PID:4206] [Rank: 0] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:06:46,127 PID:4206] [Rank: 0] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:06:46,127 PID:4205] [Rank: 3] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:06:46,127 PID:4205] [Rank: 3] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:06:46,127 PID:4207] [Rank: 1] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:06:46,127 PID:4207] [Rank: 1] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:06:46,128 PID:4206] [Rank: 0] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,128 PID:4205] [Rank: 3] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,128 PID:4207] [Rank: 1] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,317 PID:4205] [Rank: 3] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,317 PID:4206] [Rank: 0] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,317 PID:4208] [Rank: 2] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,317 PID:4207] [Rank: 1] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,504 PID:4206] [Rank: 0] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,504 PID:4208] [Rank: 2] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,504 PID:4207] [Rank: 1] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,504 PID:4205] [Rank: 3] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,680 PID:4207] [Rank: 1] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,680 PID:4206] [Rank: 0] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,680 PID:4208] [Rank: 2] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,680 PID:4205] [Rank: 3] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,838 PID:4206] [Rank: 0] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,838 PID:4208] [Rank: 2] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,838 PID:4207] [Rank: 1] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:46,838 PID:4205] [Rank: 3] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:47,027 PID:4205] [Rank: 3] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:47,027 PID:4207] [Rank: 1] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:47,027 PID:4206] [Rank: 0] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:47,027 PID:4208] [Rank: 2] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:47,189 PID:4205] [Rank: 3] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:06:47,189 PID:4207] [Rank: 1] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:06:47,189 PID:4206] [Rank: 0] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:06:47,189 PID:4208] [Rank: 2] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:06:47,350 PID:4205] [Rank: 3] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:06:47,350 PID:4208] [Rank: 2] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:06:47,350 PID:4206] [Rank: 0] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:06:47,350 PID:4207] [Rank: 1] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:06:47,524 PID:4207] [Rank: 1] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:06:47,524 PID:4206] [Rank: 0] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:06:47,524 PID:4208] [Rank: 2] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:06:47,524 PID:4205] [Rank: 3] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:06:47,699 PID:4206] [Rank: 0] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:47,699 PID:4207] [Rank: 1] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:47,699 PID:4208] [Rank: 2] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:47,699 PID:4205] [Rank: 3] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:47,867 PID:4206] [Rank: 0] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:47,867 PID:4205] [Rank: 3] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:47,867 PID:4207] [Rank: 1] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:47,867 PID:4208] [Rank: 2] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:48,033 PID:4207] [Rank: 1] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:48,033 PID:4205] [Rank: 3] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:48,033 PID:4206] [Rank: 0] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:48,033 PID:4208] [Rank: 2] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:48,205 PID:4207] [Rank: 1] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:06:48,205 PID:4205] [Rank: 3] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:06:48,205 PID:4206] [Rank: 0] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:06:48,205 PID:4208] [Rank: 2] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:06:48,381 PID:4207] [Rank: 1] Total time for feature exchange: 0:00:02.252312 [41798a58345e INFO 2023-01-08 06:06:48,381 PID:4205] [Rank: 3] Total time for feature exchange: 0:00:02.252429 [41798a58345e INFO 2023-01-08 06:06:48,381 PID:4206] [Rank: 0] Total time for feature exchange: 0:00:02.252527 [41798a58345e INFO 2023-01-08 06:06:48,381 PID:4208] [Rank: 2] Total time for feature exchange: 0:00:02.253877 [41798a58345e INFO 2023-01-08 06:06:48,381 PID:4206] [Rank: 0] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:06:48,381 PID:4208] [Rank: 2] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:06:48,381 PID:4206] [Rank: 0] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:06:48,381 PID:4208] [Rank: 2] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:06:48,381 PID:4205] [Rank: 3] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:06:48,381 PID:4205] [Rank: 3] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:06:48,381 PID:4207] [Rank: 1] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:06:48,381 PID:4207] [Rank: 1] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:06:48,855 PID:4205] [Rank: 3] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:48,855 PID:4208] [Rank: 2] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:48,855 PID:4207] [Rank: 1] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:48,855 PID:4206] [Rank: 0] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:49,316 PID:4205] [Rank: 3] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:49,316 PID:4208] [Rank: 2] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:49,316 PID:4206] [Rank: 0] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:49,316 PID:4207] [Rank: 1] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:49,672 PID:4208] [Rank: 2] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:49,672 PID:4207] [Rank: 1] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:49,672 PID:4205] [Rank: 3] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:49,672 PID:4206] [Rank: 0] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:50,068 PID:4205] [Rank: 3] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:06:50,068 PID:4208] [Rank: 2] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:06:50,068 PID:4206] [Rank: 0] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:06:50,068 PID:4207] [Rank: 1] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:06:50,445 PID:4208] [Rank: 2] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:06:50,445 PID:4205] [Rank: 3] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:06:50,445 PID:4206] [Rank: 0] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:06:50,445 PID:4207] [Rank: 1] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:06:50,820 PID:4208] [Rank: 2] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:06:50,820 PID:4206] [Rank: 0] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:06:50,820 PID:4207] [Rank: 1] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:06:50,820 PID:4205] [Rank: 3] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:06:51,216 PID:4205] [Rank: 3] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:06:51,216 PID:4207] [Rank: 1] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:06:51,216 PID:4208] [Rank: 2] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:06:51,216 PID:4206] [Rank: 0] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:06:51,550 PID:4208] [Rank: 2] Total time for feature exchange: 0:00:03.169428 [41798a58345e INFO 2023-01-08 06:06:51,551 PID:4208] [Rank: 2] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:06:51,550 PID:4206] [Rank: 0] Total time for feature exchange: 0:00:03.169409 [41798a58345e INFO 2023-01-08 06:06:51,551 PID:4206] [Rank: 0] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:06:51,550 PID:4207] [Rank: 1] Total time for feature exchange: 0:00:03.169423 [41798a58345e INFO 2023-01-08 06:06:51,551 PID:4207] [Rank: 1] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:06:51,550 PID:4205] [Rank: 3] Total time for feature exchange: 0:00:03.169385 [41798a58345e INFO 2023-01-08 06:06:51,551 PID:4205] [Rank: 3] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:06:51,839 PID:4207] [Rank: 1] Time to send/rcv edge data: 0:00:00.006296 [41798a58345e INFO 2023-01-08 06:06:51,838 PID:4206] [Rank: 0] Time to send/rcv edge data: 0:00:00.006392 [41798a58345e INFO 2023-01-08 06:06:51,839 PID:4208] [Rank: 2] Time to send/rcv edge data: 0:00:00.006315 [41798a58345e INFO 2023-01-08 06:06:51,839 PID:4205] [Rank: 3] Time to send/rcv edge data: 0:00:00.006288 [41798a58345e INFO 2023-01-08 06:06:51,871 PID:4206] [Rank: 0] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:06:51,888 PID:4206] [Rank: 0] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:06:51,917 PID:4208] [Rank: 2] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:06:51,918 PID:4205] [Rank: 3] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:06:51,923 PID:4207] [Rank: 1] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:06:51,962 PID:4205] [Rank: 3] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:06:51,963 PID:4208] [Rank: 2] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:06:51,966 PID:4207] [Rank: 1] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:06:51,968 PID:4208] [Rank: 2] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:06:51,968 PID:4205] [Rank: 3] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:06:51,968 PID:4207] [Rank: 1] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:06:51,968 PID:4206] [Rank: 0] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:06:52,016 PID:4207] [Rank: 1] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:06:52,016 PID:4205] [Rank: 3] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:06:52,016 PID:4208] [Rank: 2] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:06:52,016 PID:4206] [Rank: 0] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:06:52,183 PID:4207] [Rank: 1] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:06:52,183 PID:4206] [Rank: 0] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:06:52,183 PID:4208] [Rank: 2] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:06:52,184 PID:4205] [Rank: 3] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:06:52,418 PID:4206] There are 16594 edges in partition 0 [41798a58345e INFO 2023-01-08 06:06:52,474 PID:4205] There are 14646 edges in partition 3 [41798a58345e INFO 2023-01-08 06:06:52,477 PID:4208] There are 16046 edges in partition 2 [41798a58345e INFO 2023-01-08 06:06:52,478 PID:4207] There are 15114 edges in partition 1 [41798a58345e INFO 2023-01-08 06:06:52,546 PID:4207] [Rank: 1] Time to create dgl objects: 0:00:00.362520 [41798a58345e INFO 2023-01-08 06:06:52,546 PID:4205] [Rank: 3] Time to create dgl objects: 0:00:00.361844 [41798a58345e INFO 2023-01-08 06:06:52,546 PID:4208] [Rank: 2] Time to create dgl objects: 0:00:00.362266 [41798a58345e INFO 2023-01-08 06:06:52,546 PID:4207] [Rank: 1] Total execution time of the program: 0:00:07.526278 [41798a58345e INFO 2023-01-08 06:06:52,546 PID:4205] [Rank: 3] Total execution time of the program: 0:00:07.526069 [41798a58345e INFO 2023-01-08 06:06:52,546 PID:4208] [Rank: 2] Total execution time of the program: 0:00:07.526216 [41798a58345e INFO 2023-01-08 06:06:52,546 PID:4207] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:06:52,546 PID:4205] [Rank: 3] Done with Distributed data processing pipeline processing. Setting the default backend to "pytorch". You can change it in the ~/.dgl/config.json file or export the DGLBACKEND environment variable. Valid options are: pytorch, mxnet, tensorflow (all lowercase) [Rank: 3 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:06:52,547 PID:4208] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:06:52,547 PID:4206] [Rank: 0] Time to create dgl objects: 0:00:00.363419 [41798a58345e INFO 2023-01-08 06:06:52,547 PID:4206] [Rank: 0] Total execution time of the program: 0:00:07.527465 [41798a58345e INFO 2023-01-08 06:06:52,547 PID:4206] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 54%] tests/tools/test_dist_part.py::test_pipeline_basics[8-4-2] Done with creating chunked graph INFO:root:Changing directory to /tmp/tmp4gu69lon/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4483@7 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4483@7 /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp4gu69lon/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmp4gu69lon/parted_data --input-dir /tmp/tmp4gu69lon/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp4gu69lon/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp4gu69lon/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmp4gu69lon/parted_data --input-dir /tmp/tmp4gu69lon/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp4gu69lon/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp4gu69lon/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmp4gu69lon/parted_data --input-dir /tmp/tmp4gu69lon/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp4gu69lon/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs [41798a58345e INFO 2023-01-08 06:06:56,852 PID:4810] Added key: store_based_barrier_key:1 to store for rank: 0 [41798a58345e INFO 2023-01-08 06:06:56,853 PID:4810] Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 2 nodes. [41798a58345e INFO 2023-01-08 06:06:56,853 PID:4810] [Rank: 0] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:06:56,853 PID:4810] [Rank: 0] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:06:56,853 PID:4811] Added key: store_based_barrier_key:1 to store for rank: 1 [41798a58345e INFO 2023-01-08 06:06:56,853 PID:4811] Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 2 nodes. [41798a58345e INFO 2023-01-08 06:06:56,853 PID:4811] [Rank: 1] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:06:56,854 PID:4811] [Rank: 1] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:06:56,854 PID:4810] [Rank: 0] Reading file: /tmp/tmp4gu69lon/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:06:56,856 PID:4810] [Rank: 0] Reading file: /tmp/tmp4gu69lon/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:06:56,856 PID:4811] [Rank: 1] Reading file: /tmp/tmp4gu69lon/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:06:56,857 PID:4810] [Rank: 0] Reading file: /tmp/tmp4gu69lon/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:06:56,858 PID:4810] [Rank: 0] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:06:56,858 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,859 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:56,859 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,859 PID:4811] [Rank: 1] Reading file: /tmp/tmp4gu69lon/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:06:56,859 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:56,859 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,860 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:56,860 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,860 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:56,860 PID:4811] [Rank: 1] Reading file: /tmp/tmp4gu69lon/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:06:56,862 PID:4811] [Rank: 1] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:06:56,862 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,864 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:06:56,864 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,865 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:06:56,865 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,866 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:06:56,866 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,867 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:06:56,923 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,923 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,924 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:06:56,924 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,924 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:56,924 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,924 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:06:56,924 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,924 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:56,924 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,925 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:06:56,925 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,925 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:56,925 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,925 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:06:56,925 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:56,951 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,951 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,951 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:56,951 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:06:56,951 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,951 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,952 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:56,952 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:06:56,952 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,952 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,952 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:56,952 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:06:56,952 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,952 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,952 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:56,952 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/author/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:06:56,977 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,977 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,977 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:06:56,977 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:56,977 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,977 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,978 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:06:56,978 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:56,978 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,978 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,978 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:06:56,978 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:56,978 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,978 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:56,978 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:06:56,978 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:57,003 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,003 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,003 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:57,003 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:06:57,004 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,004 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,004 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:57,004 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:06:57,004 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,004 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,004 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:57,004 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:06:57,004 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,004 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,004 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:57,004 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:06:57,029 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,029 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,029 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:06:57,029 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:57,029 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,029 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,030 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:57,030 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:06:57,030 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,030 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,030 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:57,030 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:06:57,030 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,030 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,030 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:57,030 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/institution/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:06:57,055 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,055 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,055 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-0.npy [41798a58345e INFO 2023-01-08 06:06:57,055 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-4.npy [41798a58345e INFO 2023-01-08 06:06:57,055 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,055 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,056 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-1.npy [41798a58345e INFO 2023-01-08 06:06:57,056 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-5.npy [41798a58345e INFO 2023-01-08 06:06:57,056 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,056 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,056 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-2.npy [41798a58345e INFO 2023-01-08 06:06:57,056 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-6.npy [41798a58345e INFO 2023-01-08 06:06:57,056 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,056 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,056 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-3.npy [41798a58345e INFO 2023-01-08 06:06:57,056 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/feat-7.npy [41798a58345e INFO 2023-01-08 06:06:57,081 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,081 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,081 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-0.npy [41798a58345e INFO 2023-01-08 06:06:57,081 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-4.npy [41798a58345e INFO 2023-01-08 06:06:57,081 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,081 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,081 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-1.npy [41798a58345e INFO 2023-01-08 06:06:57,081 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-5.npy [41798a58345e INFO 2023-01-08 06:06:57,081 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,081 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,082 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-2.npy [41798a58345e INFO 2023-01-08 06:06:57,082 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-6.npy [41798a58345e INFO 2023-01-08 06:06:57,082 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,082 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,082 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-3.npy [41798a58345e INFO 2023-01-08 06:06:57,082 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/label-7.npy [41798a58345e INFO 2023-01-08 06:06:57,107 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,107 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,107 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:06:57,107 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-4.npy [41798a58345e INFO 2023-01-08 06:06:57,107 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,107 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,108 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:06:57,108 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-5.npy [41798a58345e INFO 2023-01-08 06:06:57,108 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,108 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,108 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:06:57,108 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-6.npy [41798a58345e INFO 2023-01-08 06:06:57,108 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,108 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,108 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:06:57,108 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/orig_ids-7.npy [41798a58345e INFO 2023-01-08 06:06:57,133 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,133 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,133 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:57,133 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:06:57,133 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,133 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,133 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:57,133 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:06:57,133 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,134 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,134 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:57,134 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:06:57,134 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,134 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,134 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:57,134 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:06:57,159 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,159 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,159 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:57,159 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:06:57,159 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,159 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,160 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:57,160 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:06:57,160 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,160 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,160 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:06:57,160 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:57,160 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,160 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,160 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:06:57,160 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:57,185 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,185 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,185 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:06:57,185 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:57,185 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,185 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,186 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:57,186 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:06:57,186 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,186 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,186 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:06:57,186 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:57,186 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,186 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,186 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:57,186 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:06:57,211 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,211 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,211 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-0.npy [41798a58345e INFO 2023-01-08 06:06:57,211 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-4.npy [41798a58345e INFO 2023-01-08 06:06:57,211 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,211 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,212 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-1.npy [41798a58345e INFO 2023-01-08 06:06:57,212 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-5.npy [41798a58345e INFO 2023-01-08 06:06:57,212 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,212 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,212 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-2.npy [41798a58345e INFO 2023-01-08 06:06:57,212 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-6.npy [41798a58345e INFO 2023-01-08 06:06:57,212 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,212 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,212 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-3.npy [41798a58345e INFO 2023-01-08 06:06:57,212 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/node_data/paper/year-7.npy [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: author/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: author/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: author/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: institution/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: institution/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: institution/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: paper/feat/1, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: paper/label/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: author/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: author/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: author/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: institution/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: institution/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: institution/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: paper/orig_ids/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: paper/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: paper/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: paper/feat/1, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: paper/label/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: paper/orig_ids/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: paper/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: paper/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: paper/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4811] [Rank: 1] node feature name: paper/year/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: paper/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,237 PID:4810] [Rank: 0] node feature name: paper/year/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:06:57,238 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,238 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,238 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy [41798a58345e INFO 2023-01-08 06:06:57,238 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:06:57,238 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,238 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,238 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy [41798a58345e INFO 2023-01-08 06:06:57,238 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:06:57,238 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,238 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,239 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy [41798a58345e INFO 2023-01-08 06:06:57,239 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:06:57,239 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,239 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,239 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy [41798a58345e INFO 2023-01-08 06:06:57,239 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:06:57,264 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,264 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,264 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:06:57,264 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:57,264 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,264 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,264 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:06:57,264 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:57,264 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,264 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,265 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:57,265 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:06:57,265 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,265 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,265 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:57,265 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:06:57,290 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,290 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,290 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:57,290 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:06:57,290 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,290 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,290 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:57,290 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:06:57,290 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,290 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,291 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:57,291 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:06:57,291 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,291 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,291 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:06:57,291 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:57,315 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,315 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,316 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:06:57,316 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:06:57,316 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,316 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,316 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:06:57,316 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:06:57,316 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,316 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,317 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:06:57,317 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:06:57,317 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,317 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,317 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:06:57,317 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:06:57,342 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,342 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,342 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:06:57,342 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:06:57,342 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,342 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,342 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:06:57,342 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-5.npy [41798a58345e INFO 2023-01-08 06:06:57,342 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,342 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,343 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-6.npy [41798a58345e INFO 2023-01-08 06:06:57,343 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:06:57,343 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,343 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,343 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-7.npy [41798a58345e INFO 2023-01-08 06:06:57,343 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/author:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:06:57,368 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,368 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,368 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:06:57,368 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:06:57,368 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,368 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,368 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:06:57,368 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-5.npy [41798a58345e INFO 2023-01-08 06:06:57,368 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,368 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,369 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:06:57,369 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-6.npy [41798a58345e INFO 2023-01-08 06:06:57,369 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,369 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,369 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:06:57,369 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/institution:writes:paper/year-7.npy [41798a58345e INFO 2023-01-08 06:06:57,394 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,394 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,394 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-4.npy [41798a58345e INFO 2023-01-08 06:06:57,394 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-0.npy [41798a58345e INFO 2023-01-08 06:06:57,394 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,394 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,394 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-5.npy [41798a58345e INFO 2023-01-08 06:06:57,394 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-1.npy [41798a58345e INFO 2023-01-08 06:06:57,394 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,394 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,395 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-6.npy [41798a58345e INFO 2023-01-08 06:06:57,395 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-2.npy [41798a58345e INFO 2023-01-08 06:06:57,395 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,395 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,395 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-3.npy [41798a58345e INFO 2023-01-08 06:06:57,395 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:cites:paper/count-7.npy [41798a58345e INFO 2023-01-08 06:06:57,420 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,420 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,420 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-4.npy [41798a58345e INFO 2023-01-08 06:06:57,420 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,420 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [41798a58345e INFO 2023-01-08 06:06:57,420 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,421 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-5.npy [41798a58345e INFO 2023-01-08 06:06:57,421 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [41798a58345e INFO 2023-01-08 06:06:57,421 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,421 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,421 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-6.npy [41798a58345e INFO 2023-01-08 06:06:57,421 PID:4811] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,421 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [41798a58345e INFO 2023-01-08 06:06:57,421 PID:4810] Reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:06:57,421 PID:4811] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-7.npy [41798a58345e INFO 2023-01-08 06:06:57,421 PID:4810] Done reading from /tmp/tmp4gu69lon/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: author:writes:paper/orig_ids/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: author:writes:paper/test_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: author:writes:paper/train_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: author:writes:paper/val_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: author:writes:paper/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: institution:writes:paper/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: paper:cites:paper/count/1, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] [Rank: 1] edge feature name: paper:rev_writes:author/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: author:writes:paper/orig_ids/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: author:writes:paper/test_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: author:writes:paper/train_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: author:writes:paper/val_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: author:writes:paper/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: institution:writes:paper/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: paper:cites:paper/count/1, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4810] [Rank: 0] edge feature name: paper:rev_writes:author/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:06:57,446 PID:4811] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:affiliated_with:institution2.txt [41798a58345e INFO 2023-01-08 06:06:57,447 PID:4810] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:affiliated_with:institution0.txt [41798a58345e INFO 2023-01-08 06:06:57,447 PID:4811] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:affiliated_with:institution3.txt [41798a58345e INFO 2023-01-08 06:06:57,448 PID:4810] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:affiliated_with:institution1.txt [41798a58345e INFO 2023-01-08 06:06:57,448 PID:4811] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:affiliated_with:institution6.txt [41798a58345e INFO 2023-01-08 06:06:57,448 PID:4810] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:affiliated_with:institution4.txt [41798a58345e INFO 2023-01-08 06:06:57,448 PID:4811] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:affiliated_with:institution7.txt [41798a58345e INFO 2023-01-08 06:06:57,448 PID:4810] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:affiliated_with:institution5.txt [41798a58345e INFO 2023-01-08 06:06:57,449 PID:4811] Loading edges of etype[author:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:06:57,449 PID:4810] Loading edges of etype[author:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:06:57,450 PID:4811] Loading edges of etype[author:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:06:57,450 PID:4810] Loading edges of etype[author:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:06:57,450 PID:4811] Loading edges of etype[author:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:06:57,451 PID:4810] Loading edges of etype[author:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:06:57,451 PID:4811] Loading edges of etype[author:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:06:57,451 PID:4810] Loading edges of etype[author:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/author:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:06:57,452 PID:4811] Loading edges of etype[institution:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/institution:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:06:57,452 PID:4810] Loading edges of etype[institution:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/institution:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:06:57,453 PID:4811] Loading edges of etype[institution:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/institution:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:06:57,453 PID:4810] Loading edges of etype[institution:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/institution:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:06:57,453 PID:4811] Loading edges of etype[institution:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/institution:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:06:57,453 PID:4810] Loading edges of etype[institution:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/institution:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:06:57,454 PID:4811] Loading edges of etype[institution:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/institution:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:06:57,454 PID:4810] Loading edges of etype[institution:writes:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/institution:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:06:57,455 PID:4811] Loading edges of etype[paper:cites:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:cites:paper2.txt [41798a58345e INFO 2023-01-08 06:06:57,455 PID:4810] Loading edges of etype[paper:cites:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:cites:paper0.txt [41798a58345e INFO 2023-01-08 06:06:57,456 PID:4811] Loading edges of etype[paper:cites:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:cites:paper3.txt [41798a58345e INFO 2023-01-08 06:06:57,456 PID:4810] Loading edges of etype[paper:cites:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:cites:paper1.txt [41798a58345e INFO 2023-01-08 06:06:57,457 PID:4811] Loading edges of etype[paper:cites:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:cites:paper6.txt [41798a58345e INFO 2023-01-08 06:06:57,457 PID:4810] Loading edges of etype[paper:cites:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:cites:paper4.txt [41798a58345e INFO 2023-01-08 06:06:57,457 PID:4811] Loading edges of etype[paper:cites:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:cites:paper7.txt [41798a58345e INFO 2023-01-08 06:06:57,457 PID:4810] Loading edges of etype[paper:cites:paper] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:cites:paper5.txt [41798a58345e INFO 2023-01-08 06:06:57,459 PID:4811] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:rev_writes:author2.txt [41798a58345e INFO 2023-01-08 06:06:57,459 PID:4810] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:rev_writes:author0.txt [41798a58345e INFO 2023-01-08 06:06:57,459 PID:4810] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:rev_writes:author1.txt [41798a58345e INFO 2023-01-08 06:06:57,459 PID:4811] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:rev_writes:author3.txt [41798a58345e INFO 2023-01-08 06:06:57,460 PID:4810] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:rev_writes:author4.txt [41798a58345e INFO 2023-01-08 06:06:57,460 PID:4811] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:rev_writes:author6.txt [41798a58345e INFO 2023-01-08 06:06:57,461 PID:4810] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:rev_writes:author5.txt [41798a58345e INFO 2023-01-08 06:06:57,461 PID:4811] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp4gu69lon/chunked-data/edge_index/paper:rev_writes:author7.txt [41798a58345e INFO 2023-01-08 06:06:57,462 PID:4810] [Rank: 0] Done reading edge_file: 4, (31200,) [41798a58345e INFO 2023-01-08 06:06:57,462 PID:4811] [Rank: 1] Done reading edge_file: 4, (31200,) [41798a58345e INFO 2023-01-08 06:06:57,462 PID:4810] Rank: 0 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(0, 3000)], 'author:writes:paper/orig_ids/1': [(6000, 9000)], 'author:writes:paper/test_mask/0': [(0, 3000)], 'author:writes:paper/test_mask/1': [(6000, 9000)], 'author:writes:paper/train_mask/0': [(0, 3000)], 'author:writes:paper/train_mask/1': [(6000, 9000)], 'author:writes:paper/val_mask/0': [(0, 3000)], 'author:writes:paper/val_mask/1': [(6000, 9000)], 'author:writes:paper/year/0': [(0, 3000)], 'author:writes:paper/year/1': [(6000, 9000)], 'institution:writes:paper/year/0': [(0, 3000)], 'institution:writes:paper/year/1': [(6000, 9000)], 'paper:cites:paper/count/0': [(0, 6000)], 'paper:cites:paper/count/1': [(12000, 18000)], 'paper:rev_writes:author/year/0': [(0, 3000)], 'paper:rev_writes:author/year/1': [(6000, 9000)]} [41798a58345e INFO 2023-01-08 06:06:57,462 PID:4811] Rank: 1 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(3000, 6000)], 'author:writes:paper/orig_ids/1': [(9000, 12000)], 'author:writes:paper/test_mask/0': [(3000, 6000)], 'author:writes:paper/test_mask/1': [(9000, 12000)], 'author:writes:paper/train_mask/0': [(3000, 6000)], 'author:writes:paper/train_mask/1': [(9000, 12000)], 'author:writes:paper/val_mask/0': [(3000, 6000)], 'author:writes:paper/val_mask/1': [(9000, 12000)], 'author:writes:paper/year/0': [(3000, 6000)], 'author:writes:paper/year/1': [(9000, 12000)], 'institution:writes:paper/year/0': [(3000, 6000)], 'institution:writes:paper/year/1': [(9000, 12000)], 'paper:cites:paper/count/0': [(6000, 12000)], 'paper:cites:paper/count/1': [(18000, 24000)], 'paper:rev_writes:author/year/0': [(3000, 6000)], 'paper:rev_writes:author/year/1': [(9000, 12000)]} [41798a58345e INFO 2023-01-08 06:06:57,462 PID:4810] [Rank: 0] Done reading dataset /tmp/tmp4gu69lon/chunked-data [41798a58345e INFO 2023-01-08 06:06:57,462 PID:4811] [Rank: 1] Done reading dataset /tmp/tmp4gu69lon/chunked-data [41798a58345e INFO 2023-01-08 06:06:57,548 PID:4810] [Rank: 0] Done augmenting edge_data: 6, (31200,) [41798a58345e INFO 2023-01-08 06:06:57,548 PID:4810] [Rank: 0] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:06:57,548 PID:4810] [Rank: 0] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:57,549 PID:4811] [Rank: 1] Done augmenting edge_data: 6, (31200,) [41798a58345e INFO 2023-01-08 06:06:57,549 PID:4811] [Rank: 1] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:06:57,549 PID:4811] [Rank: 1] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:57,640 PID:4810] [Rank: 0] processing feature: author/test_mask/1 [41798a58345e INFO 2023-01-08 06:06:57,640 PID:4811] [Rank: 1] processing feature: author/test_mask/1 [41798a58345e INFO 2023-01-08 06:06:57,706 PID:4810] [Rank: 0] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:57,706 PID:4811] [Rank: 1] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:57,749 PID:4811] [Rank: 1] processing feature: author/train_mask/1 [41798a58345e INFO 2023-01-08 06:06:57,749 PID:4810] [Rank: 0] processing feature: author/train_mask/1 [41798a58345e INFO 2023-01-08 06:06:57,790 PID:4810] [Rank: 0] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:57,790 PID:4811] [Rank: 1] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:57,831 PID:4811] [Rank: 1] processing feature: author/val_mask/1 [41798a58345e INFO 2023-01-08 06:06:57,831 PID:4810] [Rank: 0] processing feature: author/val_mask/1 [41798a58345e INFO 2023-01-08 06:06:57,872 PID:4810] [Rank: 0] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:57,872 PID:4811] [Rank: 1] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:57,916 PID:4811] [Rank: 1] processing feature: institution/test_mask/1 [41798a58345e INFO 2023-01-08 06:06:57,916 PID:4810] [Rank: 0] processing feature: institution/test_mask/1 [41798a58345e INFO 2023-01-08 06:06:57,958 PID:4810] [Rank: 0] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:57,958 PID:4811] [Rank: 1] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:57,998 PID:4811] [Rank: 1] processing feature: institution/train_mask/1 [41798a58345e INFO 2023-01-08 06:06:57,998 PID:4810] [Rank: 0] processing feature: institution/train_mask/1 [41798a58345e INFO 2023-01-08 06:06:58,039 PID:4811] [Rank: 1] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:58,039 PID:4810] [Rank: 0] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:58,080 PID:4810] [Rank: 0] processing feature: institution/val_mask/1 [41798a58345e INFO 2023-01-08 06:06:58,080 PID:4811] [Rank: 1] processing feature: institution/val_mask/1 [41798a58345e INFO 2023-01-08 06:06:58,121 PID:4811] [Rank: 1] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:06:58,121 PID:4810] [Rank: 0] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:06:58,162 PID:4811] [Rank: 1] processing feature: paper/feat/1 [41798a58345e INFO 2023-01-08 06:06:58,162 PID:4810] [Rank: 0] processing feature: paper/feat/1 [41798a58345e INFO 2023-01-08 06:06:58,203 PID:4810] [Rank: 0] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:06:58,203 PID:4811] [Rank: 1] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:06:58,248 PID:4810] [Rank: 0] processing feature: paper/label/1 [41798a58345e INFO 2023-01-08 06:06:58,248 PID:4811] [Rank: 1] processing feature: paper/label/1 [41798a58345e INFO 2023-01-08 06:06:58,288 PID:4811] [Rank: 1] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:06:58,288 PID:4810] [Rank: 0] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:06:58,328 PID:4811] [Rank: 1] processing feature: paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:06:58,328 PID:4810] [Rank: 0] processing feature: paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:06:58,369 PID:4811] [Rank: 1] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:58,369 PID:4810] [Rank: 0] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:58,406 PID:4810] [Rank: 0] processing feature: paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:06:58,406 PID:4811] [Rank: 1] processing feature: paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:06:58,448 PID:4810] [Rank: 0] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:58,448 PID:4811] [Rank: 1] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:58,488 PID:4811] [Rank: 1] processing feature: paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:06:58,488 PID:4810] [Rank: 0] processing feature: paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:06:58,530 PID:4811] [Rank: 1] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:58,530 PID:4810] [Rank: 0] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:58,572 PID:4811] [Rank: 1] processing feature: paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:06:58,572 PID:4810] [Rank: 0] processing feature: paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:06:58,612 PID:4810] [Rank: 0] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:06:58,612 PID:4811] [Rank: 1] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:06:58,653 PID:4811] [Rank: 1] processing feature: paper/year/1 [41798a58345e INFO 2023-01-08 06:06:58,653 PID:4810] [Rank: 0] processing feature: paper/year/1 [41798a58345e INFO 2023-01-08 06:06:58,694 PID:4810] [Rank: 0] Total time for feature exchange: 0:00:01.145687 [41798a58345e INFO 2023-01-08 06:06:58,694 PID:4811] [Rank: 1] Total time for feature exchange: 0:00:01.144652 [41798a58345e INFO 2023-01-08 06:06:58,695 PID:4810] [Rank: 0] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:06:58,695 PID:4810] [Rank: 0] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:06:58,696 PID:4811] [Rank: 1] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:06:58,696 PID:4811] [Rank: 1] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:06:58,756 PID:4811] [Rank: 1] processing feature: author:writes:paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:06:58,756 PID:4810] [Rank: 0] processing feature: author:writes:paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:06:58,821 PID:4810] [Rank: 0] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:58,821 PID:4811] [Rank: 1] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:06:58,879 PID:4810] [Rank: 0] processing feature: author:writes:paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:06:58,879 PID:4811] [Rank: 1] processing feature: author:writes:paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:06:58,935 PID:4810] [Rank: 0] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:58,935 PID:4811] [Rank: 1] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:06:58,989 PID:4810] [Rank: 0] processing feature: author:writes:paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:06:58,989 PID:4811] [Rank: 1] processing feature: author:writes:paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:06:59,044 PID:4811] [Rank: 1] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:59,044 PID:4810] [Rank: 0] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:06:59,099 PID:4811] [Rank: 1] processing feature: author:writes:paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:06:59,099 PID:4810] [Rank: 0] processing feature: author:writes:paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:06:59,159 PID:4811] [Rank: 1] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:06:59,159 PID:4810] [Rank: 0] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:06:59,215 PID:4810] [Rank: 0] processing feature: author:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:06:59,215 PID:4811] [Rank: 1] processing feature: author:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:06:59,270 PID:4811] [Rank: 1] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:06:59,270 PID:4810] [Rank: 0] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:06:59,332 PID:4810] [Rank: 0] processing feature: institution:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:06:59,332 PID:4811] [Rank: 1] processing feature: institution:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:06:59,391 PID:4811] [Rank: 1] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:06:59,391 PID:4810] [Rank: 0] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:06:59,456 PID:4811] [Rank: 1] processing feature: paper:cites:paper/count/1 [41798a58345e INFO 2023-01-08 06:06:59,456 PID:4810] [Rank: 0] processing feature: paper:cites:paper/count/1 [41798a58345e INFO 2023-01-08 06:06:59,512 PID:4811] [Rank: 1] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:06:59,512 PID:4810] [Rank: 0] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:06:59,562 PID:4811] [Rank: 1] processing feature: paper:rev_writes:author/year/1 [41798a58345e INFO 2023-01-08 06:06:59,562 PID:4810] [Rank: 0] processing feature: paper:rev_writes:author/year/1 [41798a58345e INFO 2023-01-08 06:06:59,616 PID:4811] [Rank: 1] Total time for feature exchange: 0:00:00.920625 [41798a58345e INFO 2023-01-08 06:06:59,616 PID:4810] [Rank: 0] Total time for feature exchange: 0:00:00.921335 [41798a58345e INFO 2023-01-08 06:06:59,616 PID:4811] [Rank: 1] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:06:59,617 PID:4810] [Rank: 0] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:06:59,688 PID:4810] [Rank: 0] Time to send/rcv edge data: 0:00:00.036336 [41798a58345e INFO 2023-01-08 06:06:59,693 PID:4811] [Rank: 1] Time to send/rcv edge data: 0:00:00.041566 [41798a58345e INFO 2023-01-08 06:06:59,723 PID:4811] [Rank: 1] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:06:59,740 PID:4811] [Rank: 1] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:06:59,769 PID:4810] [Rank: 0] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:06:59,799 PID:4810] [Rank: 0] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:06:59,800 PID:4810] [Rank: 0] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:06:59,800 PID:4811] [Rank: 1] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:06:59,843 PID:4810] [Rank: 0] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:06:59,843 PID:4811] [Rank: 1] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:06:59,913 PID:4811] [Rank: 1] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:06:59,913 PID:4810] [Rank: 0] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:07:00,080 PID:4811] There are 15893 edges in partition 1 [41798a58345e INFO 2023-01-08 06:07:00,162 PID:4810] There are 15270 edges in partition 0 [41798a58345e INFO 2023-01-08 06:07:00,259 PID:4811] There are 16182 edges in partition 3 [41798a58345e INFO 2023-01-08 06:07:00,468 PID:4810] There are 15055 edges in partition 2 [41798a58345e INFO 2023-01-08 06:07:00,478 PID:4811] [Rank: 1] Time to create dgl objects: 0:00:00.564428 [41798a58345e INFO 2023-01-08 06:07:00,478 PID:4810] [Rank: 0] Time to create dgl objects: 0:00:00.564856 [41798a58345e INFO 2023-01-08 06:07:00,478 PID:4810] [Rank: 0] Total execution time of the program: 0:00:03.625529 [41798a58345e INFO 2023-01-08 06:07:00,478 PID:4811] [Rank: 1] Total execution time of the program: 0:00:03.624858 [41798a58345e INFO 2023-01-08 06:07:00,479 PID:4810] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! [Rank: 2 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:07:00,479 PID:4811] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [Rank: 3 Edge data is already sorted !!! PASSED [ 56%] tests/tools/test_dist_part.py::test_pipeline_basics[8-4-4] Done with creating chunked graph INFO:root:Changing directory to /tmp/tmph3zgkhk3/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4483@7 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4483@7 /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmph3zgkhk3/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmph3zgkhk3/parted_data --input-dir /tmp/tmph3zgkhk3/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmph3zgkhk3/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmph3zgkhk3/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmph3zgkhk3/parted_data --input-dir /tmp/tmph3zgkhk3/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmph3zgkhk3/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmph3zgkhk3/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmph3zgkhk3/parted_data --input-dir /tmp/tmph3zgkhk3/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmph3zgkhk3/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmph3zgkhk3/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmph3zgkhk3/parted_data --input-dir /tmp/tmph3zgkhk3/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmph3zgkhk3/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmph3zgkhk3/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmph3zgkhk3/parted_data --input-dir /tmp/tmph3zgkhk3/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmph3zgkhk3/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs [41798a58345e INFO 2023-01-08 06:07:04,856 PID:5161] Added key: store_based_barrier_key:1 to store for rank: 0 [41798a58345e INFO 2023-01-08 06:07:04,875 PID:5168] Added key: store_based_barrier_key:1 to store for rank: 1 [41798a58345e INFO 2023-01-08 06:07:04,886 PID:5168] Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:07:04,886 PID:5170] Added key: store_based_barrier_key:1 to store for rank: 3 [41798a58345e INFO 2023-01-08 06:07:04,886 PID:5170] Rank 3: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:07:04,886 PID:5167] Added key: store_based_barrier_key:1 to store for rank: 2 [41798a58345e INFO 2023-01-08 06:07:04,886 PID:5167] Rank 2: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:07:04,887 PID:5161] Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:07:04,888 PID:5161] [Rank: 0] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:07:04,888 PID:5161] [Rank: 0] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:07:04,888 PID:5167] [Rank: 2] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:07:04,888 PID:5168] [Rank: 1] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:07:04,888 PID:5170] [Rank: 3] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:07:04,888 PID:5167] [Rank: 2] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:07:04,888 PID:5168] [Rank: 1] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:07:04,888 PID:5170] [Rank: 3] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:07:04,890 PID:5168] [Rank: 1] Reading file: /tmp/tmph3zgkhk3/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:07:04,890 PID:5170] [Rank: 3] Reading file: /tmp/tmph3zgkhk3/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:07:04,891 PID:5161] [Rank: 0] Reading file: /tmp/tmph3zgkhk3/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:07:04,891 PID:5167] [Rank: 2] Reading file: /tmp/tmph3zgkhk3/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:07:04,893 PID:5168] [Rank: 1] Reading file: /tmp/tmph3zgkhk3/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:07:04,893 PID:5170] [Rank: 3] Reading file: /tmp/tmph3zgkhk3/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:07:04,894 PID:5167] [Rank: 2] Reading file: /tmp/tmph3zgkhk3/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:07:04,894 PID:5161] [Rank: 0] Reading file: /tmp/tmph3zgkhk3/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:07:04,894 PID:5168] [Rank: 1] Reading file: /tmp/tmph3zgkhk3/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:07:04,894 PID:5170] [Rank: 3] Reading file: /tmp/tmph3zgkhk3/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:07:04,895 PID:5167] [Rank: 2] Reading file: /tmp/tmph3zgkhk3/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:07:04,895 PID:5161] [Rank: 0] Reading file: /tmp/tmph3zgkhk3/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:07:04,895 PID:5168] [Rank: 1] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:07:04,895 PID:5170] [Rank: 3] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:07:04,896 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,896 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,896 PID:5167] [Rank: 2] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:07:04,896 PID:5161] [Rank: 0] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:07:04,897 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,897 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,898 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:04,898 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:04,898 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,898 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,898 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:04,899 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:04,899 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,899 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,899 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:04,899 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:04,900 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:04,900 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:04,964 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,964 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,964 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,964 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,964 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:04,964 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:04,964 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,964 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:04,964 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,964 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,964 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:04,964 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:04,964 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:04,964 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:04,965 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:04,965 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:05,004 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,004 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,004 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,004 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,004 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:05,005 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,004 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:05,005 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,004 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:05,005 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,005 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:05,005 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,005 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:05,005 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:05,005 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:05,005 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/author/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:05,043 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,043 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,043 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,044 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:05,044 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,044 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:05,044 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,043 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,044 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:05,044 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,044 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:05,044 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:05,044 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:05,045 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:05,045 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,046 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:05,099 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,099 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,099 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,099 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,100 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:05,100 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,100 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:05,100 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,100 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:05,100 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,100 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:05,100 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,100 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:05,100 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:05,100 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:05,100 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:05,141 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,141 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,141 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,141 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,141 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:05,141 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,141 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:05,142 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,141 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:05,141 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,141 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:05,141 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,142 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:05,142 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:05,142 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:05,142 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/institution/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:05,183 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,183 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,183 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,183 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,183 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-6.npy [41798a58345e INFO 2023-01-08 06:07:05,184 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,184 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-0.npy [41798a58345e INFO 2023-01-08 06:07:05,184 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,184 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-4.npy [41798a58345e INFO 2023-01-08 06:07:05,184 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,184 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-2.npy [41798a58345e INFO 2023-01-08 06:07:05,184 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,184 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-7.npy [41798a58345e INFO 2023-01-08 06:07:05,184 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-1.npy [41798a58345e INFO 2023-01-08 06:07:05,184 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-5.npy [41798a58345e INFO 2023-01-08 06:07:05,184 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/feat-3.npy [41798a58345e INFO 2023-01-08 06:07:05,222 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,222 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,222 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,222 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,223 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-0.npy [41798a58345e INFO 2023-01-08 06:07:05,223 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-4.npy [41798a58345e INFO 2023-01-08 06:07:05,223 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,223 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,223 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-6.npy [41798a58345e INFO 2023-01-08 06:07:05,223 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-2.npy [41798a58345e INFO 2023-01-08 06:07:05,223 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,223 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,223 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-1.npy [41798a58345e INFO 2023-01-08 06:07:05,223 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-5.npy [41798a58345e INFO 2023-01-08 06:07:05,223 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-3.npy [41798a58345e INFO 2023-01-08 06:07:05,223 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/label-7.npy [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-4.npy [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-6.npy [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-5.npy [41798a58345e INFO 2023-01-08 06:07:05,260 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/orig_ids-7.npy [41798a58345e INFO 2023-01-08 06:07:05,297 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,297 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,297 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,297 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,298 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:05,298 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,298 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:05,298 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,298 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:05,298 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,298 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:05,298 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:05,298 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,298 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:05,298 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:05,298 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:05,334 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,334 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,334 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,334 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,335 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:05,335 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,335 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:05,335 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,335 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:05,335 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,335 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:05,335 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,335 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:05,335 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:05,335 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:05,335 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:05,371 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,372 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,372 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,372 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,372 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:05,372 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,372 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:05,372 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,372 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:05,372 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,372 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:05,372 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,372 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:05,372 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:05,372 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:05,372 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:05,409 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,409 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,409 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,409 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,409 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-0.npy [41798a58345e INFO 2023-01-08 06:07:05,409 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-4.npy [41798a58345e INFO 2023-01-08 06:07:05,409 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,409 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,409 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-6.npy [41798a58345e INFO 2023-01-08 06:07:05,409 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-2.npy [41798a58345e INFO 2023-01-08 06:07:05,409 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,409 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,409 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-5.npy [41798a58345e INFO 2023-01-08 06:07:05,410 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-1.npy [41798a58345e INFO 2023-01-08 06:07:05,410 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-7.npy [41798a58345e INFO 2023-01-08 06:07:05,410 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/node_data/paper/year-3.npy [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5161] [Rank: 0] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5161] [Rank: 0] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5161] [Rank: 0] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5161] [Rank: 0] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5161] [Rank: 0] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5161] [Rank: 0] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5161] [Rank: 0] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5161] [Rank: 0] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5161] [Rank: 0] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5161] [Rank: 0] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5161] [Rank: 0] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5161] [Rank: 0] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5161] [Rank: 0] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5168] [Rank: 1] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5168] [Rank: 1] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5168] [Rank: 1] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5168] [Rank: 1] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5168] [Rank: 1] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5168] [Rank: 1] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5167] [Rank: 2] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5167] [Rank: 2] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5167] [Rank: 2] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5167] [Rank: 2] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5167] [Rank: 2] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5167] [Rank: 2] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5167] [Rank: 2] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5167] [Rank: 2] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5167] [Rank: 2] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5167] [Rank: 2] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5167] [Rank: 2] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5167] [Rank: 2] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5167] [Rank: 2] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5170] [Rank: 3] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5170] [Rank: 3] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5170] [Rank: 3] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5170] [Rank: 3] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5170] [Rank: 3] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5170] [Rank: 3] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5170] [Rank: 3] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5170] [Rank: 3] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5170] [Rank: 3] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5170] [Rank: 3] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5170] [Rank: 3] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,447 PID:5170] [Rank: 3] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5170] [Rank: 3] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5168] [Rank: 1] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5168] [Rank: 1] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5168] [Rank: 1] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5168] [Rank: 1] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5168] [Rank: 1] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5168] [Rank: 1] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5168] [Rank: 1] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:07:05,448 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,449 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy [41798a58345e INFO 2023-01-08 06:07:05,449 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:07:05,489 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,489 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,489 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,489 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,490 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:05,490 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,490 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:05,490 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,490 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:05,490 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,490 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:05,490 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:05,490 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:05,490 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,490 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:05,490 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:05,528 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,528 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,528 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,528 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,528 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:05,528 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:05,528 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:05,528 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,528 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:05,528 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,528 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,528 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,529 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:05,529 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:05,529 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:05,529 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:05,565 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,565 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,565 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,565 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,566 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:05,566 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:05,566 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,566 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:05,566 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:05,566 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,566 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,566 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,566 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:05,566 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:05,566 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:05,566 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:05,605 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,605 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,605 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,605 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,605 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:07:05,605 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,605 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-6.npy [41798a58345e INFO 2023-01-08 06:07:05,605 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,605 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:07:05,605 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,606 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:07:05,606 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,606 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:07:05,606 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-7.npy [41798a58345e INFO 2023-01-08 06:07:05,606 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-5.npy [41798a58345e INFO 2023-01-08 06:07:05,606 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/author:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:07:05,643 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,643 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,643 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,643 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,643 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:07:05,643 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-6.npy [41798a58345e INFO 2023-01-08 06:07:05,644 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,643 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:07:05,644 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,644 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,643 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:07:05,644 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,644 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-5.npy [41798a58345e INFO 2023-01-08 06:07:05,644 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:07:05,644 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-7.npy [41798a58345e INFO 2023-01-08 06:07:05,644 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/institution:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:07:05,682 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,682 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,682 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,682 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,682 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-0.npy [41798a58345e INFO 2023-01-08 06:07:05,682 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,682 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-4.npy [41798a58345e INFO 2023-01-08 06:07:05,682 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,682 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-1.npy [41798a58345e INFO 2023-01-08 06:07:05,682 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-5.npy [41798a58345e INFO 2023-01-08 06:07:05,682 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-6.npy [41798a58345e INFO 2023-01-08 06:07:05,682 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,682 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-2.npy [41798a58345e INFO 2023-01-08 06:07:05,682 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,683 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-7.npy [41798a58345e INFO 2023-01-08 06:07:05,683 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:cites:paper/count-3.npy [41798a58345e INFO 2023-01-08 06:07:05,720 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,720 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,720 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,720 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,720 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [41798a58345e INFO 2023-01-08 06:07:05,720 PID:5161] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,721 PID:5161] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [41798a58345e INFO 2023-01-08 06:07:05,720 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [41798a58345e INFO 2023-01-08 06:07:05,720 PID:5168] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,720 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-6.npy [41798a58345e INFO 2023-01-08 06:07:05,720 PID:5170] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,720 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-4.npy [41798a58345e INFO 2023-01-08 06:07:05,720 PID:5167] Reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:05,721 PID:5167] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-5.npy [41798a58345e INFO 2023-01-08 06:07:05,721 PID:5168] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [41798a58345e INFO 2023-01-08 06:07:05,721 PID:5170] Done reading from /tmp/tmph3zgkhk3/chunked-data/edge_data/paper:rev_writes:author/year-7.npy [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5161] [Rank: 0] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5161] [Rank: 0] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5161] [Rank: 0] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5161] [Rank: 0] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5161] [Rank: 0] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5161] [Rank: 0] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5161] [Rank: 0] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5161] [Rank: 0] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,758 PID:5161] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:affiliated_with:institution0.txt [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5168] [Rank: 1] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5168] [Rank: 1] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5168] [Rank: 1] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5168] [Rank: 1] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5168] [Rank: 1] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5168] [Rank: 1] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5168] [Rank: 1] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5168] [Rank: 1] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5170] [Rank: 3] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5170] [Rank: 3] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5170] [Rank: 3] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5170] [Rank: 3] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5170] [Rank: 3] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5170] [Rank: 3] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5170] [Rank: 3] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5170] [Rank: 3] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5167] [Rank: 2] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5167] [Rank: 2] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5167] [Rank: 2] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5167] [Rank: 2] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5167] [Rank: 2] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5167] [Rank: 2] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5167] [Rank: 2] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:07:05,757 PID:5167] [Rank: 2] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:05,758 PID:5167] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:affiliated_with:institution4.txt [41798a58345e INFO 2023-01-08 06:07:05,758 PID:5168] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:affiliated_with:institution2.txt [41798a58345e INFO 2023-01-08 06:07:05,758 PID:5170] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:affiliated_with:institution6.txt [41798a58345e INFO 2023-01-08 06:07:05,758 PID:5170] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:affiliated_with:institution7.txt [41798a58345e INFO 2023-01-08 06:07:05,759 PID:5167] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:affiliated_with:institution5.txt [41798a58345e INFO 2023-01-08 06:07:05,759 PID:5168] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:affiliated_with:institution3.txt [41798a58345e INFO 2023-01-08 06:07:05,759 PID:5161] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:affiliated_with:institution1.txt [41798a58345e INFO 2023-01-08 06:07:05,759 PID:5167] Loading edges of etype[author:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:07:05,759 PID:5170] Loading edges of etype[author:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:07:05,759 PID:5168] Loading edges of etype[author:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:07:05,759 PID:5161] Loading edges of etype[author:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:07:05,760 PID:5167] Loading edges of etype[author:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:07:05,760 PID:5170] Loading edges of etype[author:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:07:05,760 PID:5168] Loading edges of etype[author:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:07:05,760 PID:5161] Loading edges of etype[author:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/author:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:07:05,761 PID:5167] Loading edges of etype[institution:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/institution:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:07:05,761 PID:5161] Loading edges of etype[institution:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/institution:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:07:05,761 PID:5170] Loading edges of etype[institution:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/institution:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:07:05,761 PID:5168] Loading edges of etype[institution:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/institution:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:07:05,762 PID:5167] Loading edges of etype[institution:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/institution:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:07:05,762 PID:5161] Loading edges of etype[institution:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/institution:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:07:05,762 PID:5170] Loading edges of etype[institution:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/institution:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:07:05,762 PID:5168] Loading edges of etype[institution:writes:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/institution:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:07:05,762 PID:5167] Loading edges of etype[paper:cites:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:cites:paper4.txt [41798a58345e INFO 2023-01-08 06:07:05,763 PID:5161] Loading edges of etype[paper:cites:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:cites:paper0.txt [41798a58345e INFO 2023-01-08 06:07:05,763 PID:5170] Loading edges of etype[paper:cites:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:cites:paper6.txt [41798a58345e INFO 2023-01-08 06:07:05,763 PID:5168] Loading edges of etype[paper:cites:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:cites:paper2.txt [41798a58345e INFO 2023-01-08 06:07:05,763 PID:5167] Loading edges of etype[paper:cites:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:cites:paper5.txt [41798a58345e INFO 2023-01-08 06:07:05,764 PID:5161] Loading edges of etype[paper:cites:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:cites:paper1.txt [41798a58345e INFO 2023-01-08 06:07:05,764 PID:5168] Loading edges of etype[paper:cites:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:cites:paper3.txt [41798a58345e INFO 2023-01-08 06:07:05,764 PID:5170] Loading edges of etype[paper:cites:paper] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:cites:paper7.txt [41798a58345e INFO 2023-01-08 06:07:05,764 PID:5167] Loading edges of etype[paper:rev_writes:author] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:rev_writes:author4.txt [41798a58345e INFO 2023-01-08 06:07:05,765 PID:5161] Loading edges of etype[paper:rev_writes:author] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:rev_writes:author0.txt [41798a58345e INFO 2023-01-08 06:07:05,765 PID:5167] Loading edges of etype[paper:rev_writes:author] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:rev_writes:author5.txt [41798a58345e INFO 2023-01-08 06:07:05,765 PID:5168] Loading edges of etype[paper:rev_writes:author] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:rev_writes:author2.txt [41798a58345e INFO 2023-01-08 06:07:05,765 PID:5170] Loading edges of etype[paper:rev_writes:author] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:rev_writes:author6.txt [41798a58345e INFO 2023-01-08 06:07:05,765 PID:5161] Loading edges of etype[paper:rev_writes:author] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:rev_writes:author1.txt [41798a58345e INFO 2023-01-08 06:07:05,766 PID:5168] Loading edges of etype[paper:rev_writes:author] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:rev_writes:author3.txt [41798a58345e INFO 2023-01-08 06:07:05,766 PID:5170] Loading edges of etype[paper:rev_writes:author] from /tmp/tmph3zgkhk3/chunked-data/edge_index/paper:rev_writes:author7.txt [41798a58345e INFO 2023-01-08 06:07:05,766 PID:5167] [Rank: 2] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:07:05,766 PID:5167] Rank: 2 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(6000, 9000)], 'author:writes:paper/test_mask/0': [(6000, 9000)], 'author:writes:paper/train_mask/0': [(6000, 9000)], 'author:writes:paper/val_mask/0': [(6000, 9000)], 'author:writes:paper/year/0': [(6000, 9000)], 'institution:writes:paper/year/0': [(6000, 9000)], 'paper:cites:paper/count/0': [(12000, 18000)], 'paper:rev_writes:author/year/0': [(6000, 9000)]} [41798a58345e INFO 2023-01-08 06:07:05,766 PID:5167] [Rank: 2] Done reading dataset /tmp/tmph3zgkhk3/chunked-data [41798a58345e INFO 2023-01-08 06:07:05,766 PID:5161] [Rank: 0] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:07:05,766 PID:5161] Rank: 0 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(0, 3000)], 'author:writes:paper/test_mask/0': [(0, 3000)], 'author:writes:paper/train_mask/0': [(0, 3000)], 'author:writes:paper/val_mask/0': [(0, 3000)], 'author:writes:paper/year/0': [(0, 3000)], 'institution:writes:paper/year/0': [(0, 3000)], 'paper:cites:paper/count/0': [(0, 6000)], 'paper:rev_writes:author/year/0': [(0, 3000)]} [41798a58345e INFO 2023-01-08 06:07:05,767 PID:5161] [Rank: 0] Done reading dataset /tmp/tmph3zgkhk3/chunked-data [41798a58345e INFO 2023-01-08 06:07:05,767 PID:5168] [Rank: 1] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:07:05,767 PID:5170] [Rank: 3] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:07:05,767 PID:5168] Rank: 1 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(3000, 6000)], 'author:writes:paper/test_mask/0': [(3000, 6000)], 'author:writes:paper/train_mask/0': [(3000, 6000)], 'author:writes:paper/val_mask/0': [(3000, 6000)], 'author:writes:paper/year/0': [(3000, 6000)], 'institution:writes:paper/year/0': [(3000, 6000)], 'paper:cites:paper/count/0': [(6000, 12000)], 'paper:rev_writes:author/year/0': [(3000, 6000)]} [41798a58345e INFO 2023-01-08 06:07:05,767 PID:5170] Rank: 3 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(9000, 12000)], 'author:writes:paper/test_mask/0': [(9000, 12000)], 'author:writes:paper/train_mask/0': [(9000, 12000)], 'author:writes:paper/val_mask/0': [(9000, 12000)], 'author:writes:paper/year/0': [(9000, 12000)], 'institution:writes:paper/year/0': [(9000, 12000)], 'paper:cites:paper/count/0': [(18000, 24000)], 'paper:rev_writes:author/year/0': [(9000, 12000)]} [41798a58345e INFO 2023-01-08 06:07:05,767 PID:5168] [Rank: 1] Done reading dataset /tmp/tmph3zgkhk3/chunked-data [41798a58345e INFO 2023-01-08 06:07:05,767 PID:5170] [Rank: 3] Done reading dataset /tmp/tmph3zgkhk3/chunked-data [41798a58345e INFO 2023-01-08 06:07:05,996 PID:5161] [Rank: 0] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:07:05,997 PID:5161] [Rank: 0] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:07:05,997 PID:5170] [Rank: 3] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:07:05,997 PID:5170] [Rank: 3] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:07:05,997 PID:5161] [Rank: 0] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:05,997 PID:5168] [Rank: 1] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:07:05,997 PID:5170] [Rank: 3] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:05,998 PID:5168] [Rank: 1] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:07:05,998 PID:5167] [Rank: 2] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:07:05,998 PID:5167] [Rank: 2] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:07:05,999 PID:5168] [Rank: 1] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:05,999 PID:5167] [Rank: 2] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,187 PID:5161] [Rank: 0] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,187 PID:5168] [Rank: 1] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,188 PID:5170] [Rank: 3] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,188 PID:5167] [Rank: 2] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,366 PID:5161] [Rank: 0] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,366 PID:5170] [Rank: 3] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,366 PID:5168] [Rank: 1] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,366 PID:5167] [Rank: 2] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,554 PID:5167] [Rank: 2] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,554 PID:5168] [Rank: 1] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,554 PID:5170] [Rank: 3] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,554 PID:5161] [Rank: 0] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,722 PID:5167] [Rank: 2] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,722 PID:5161] [Rank: 0] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,722 PID:5168] [Rank: 1] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,722 PID:5170] [Rank: 3] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,893 PID:5168] [Rank: 1] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,893 PID:5170] [Rank: 3] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,893 PID:5167] [Rank: 2] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:06,893 PID:5161] [Rank: 0] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:07,051 PID:5168] [Rank: 1] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:07:07,051 PID:5167] [Rank: 2] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:07:07,051 PID:5170] [Rank: 3] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:07:07,051 PID:5161] [Rank: 0] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:07:07,224 PID:5168] [Rank: 1] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:07:07,224 PID:5161] [Rank: 0] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:07:07,224 PID:5170] [Rank: 3] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:07:07,224 PID:5167] [Rank: 2] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:07:07,393 PID:5167] [Rank: 2] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:07,393 PID:5161] [Rank: 0] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:07,393 PID:5170] [Rank: 3] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:07,393 PID:5168] [Rank: 1] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:07,556 PID:5168] [Rank: 1] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:07,556 PID:5167] [Rank: 2] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:07,556 PID:5170] [Rank: 3] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:07,556 PID:5161] [Rank: 0] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:07,727 PID:5170] [Rank: 3] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:07,727 PID:5168] [Rank: 1] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:07,727 PID:5167] [Rank: 2] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:07,727 PID:5161] [Rank: 0] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:07,904 PID:5167] [Rank: 2] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:07,904 PID:5170] [Rank: 3] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:07,904 PID:5168] [Rank: 1] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:07,904 PID:5161] [Rank: 0] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:08,062 PID:5161] [Rank: 0] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:07:08,062 PID:5170] [Rank: 3] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:07:08,062 PID:5168] [Rank: 1] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:07:08,062 PID:5167] [Rank: 2] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:07:08,217 PID:5168] [Rank: 1] Total time for feature exchange: 0:00:02.218770 [41798a58345e INFO 2023-01-08 06:07:08,217 PID:5161] [Rank: 0] Total time for feature exchange: 0:00:02.220223 [41798a58345e INFO 2023-01-08 06:07:08,217 PID:5170] [Rank: 3] Total time for feature exchange: 0:00:02.219879 [41798a58345e INFO 2023-01-08 06:07:08,218 PID:5170] [Rank: 3] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:07:08,218 PID:5170] [Rank: 3] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:08,217 PID:5167] [Rank: 2] Total time for feature exchange: 0:00:02.218561 [41798a58345e INFO 2023-01-08 06:07:08,218 PID:5168] [Rank: 1] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:07:08,218 PID:5168] [Rank: 1] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:08,218 PID:5167] [Rank: 2] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:07:08,218 PID:5167] [Rank: 2] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:08,218 PID:5161] [Rank: 0] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:07:08,218 PID:5161] [Rank: 0] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:08,629 PID:5170] [Rank: 3] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:08,629 PID:5161] [Rank: 0] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:08,629 PID:5168] [Rank: 1] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:08,629 PID:5167] [Rank: 2] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:09,033 PID:5168] [Rank: 1] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:09,033 PID:5161] [Rank: 0] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:09,033 PID:5167] [Rank: 2] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:09,033 PID:5170] [Rank: 3] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:09,432 PID:5170] [Rank: 3] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:09,432 PID:5161] [Rank: 0] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:09,432 PID:5167] [Rank: 2] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:09,432 PID:5168] [Rank: 1] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:09,797 PID:5161] [Rank: 0] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:09,797 PID:5167] [Rank: 2] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:09,797 PID:5170] [Rank: 3] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:09,797 PID:5168] [Rank: 1] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:10,172 PID:5161] [Rank: 0] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:10,172 PID:5167] [Rank: 2] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:10,172 PID:5168] [Rank: 1] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:10,172 PID:5170] [Rank: 3] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:10,595 PID:5167] [Rank: 2] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:07:10,595 PID:5161] [Rank: 0] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:07:10,595 PID:5170] [Rank: 3] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:07:10,594 PID:5168] [Rank: 1] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:07:10,970 PID:5168] [Rank: 1] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:07:10,970 PID:5167] [Rank: 2] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:07:10,970 PID:5170] [Rank: 3] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:07:10,970 PID:5161] [Rank: 0] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:07:11,362 PID:5167] [Rank: 2] Total time for feature exchange: 0:00:03.143326 [41798a58345e INFO 2023-01-08 06:07:11,362 PID:5167] [Rank: 2] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:07:11,362 PID:5161] [Rank: 0] Total time for feature exchange: 0:00:03.143173 [41798a58345e INFO 2023-01-08 06:07:11,362 PID:5161] [Rank: 0] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:07:11,362 PID:5170] [Rank: 3] Total time for feature exchange: 0:00:03.143814 [41798a58345e INFO 2023-01-08 06:07:11,362 PID:5170] [Rank: 3] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:07:11,362 PID:5168] [Rank: 1] Total time for feature exchange: 0:00:03.143401 [41798a58345e INFO 2023-01-08 06:07:11,362 PID:5168] [Rank: 1] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:07:11,660 PID:5168] [Rank: 1] Time to send/rcv edge data: 0:00:00.005248 [41798a58345e INFO 2023-01-08 06:07:11,661 PID:5170] [Rank: 3] Time to send/rcv edge data: 0:00:00.005495 [41798a58345e INFO 2023-01-08 06:07:11,661 PID:5167] [Rank: 2] Time to send/rcv edge data: 0:00:00.005332 [41798a58345e INFO 2023-01-08 06:07:11,661 PID:5161] [Rank: 0] Time to send/rcv edge data: 0:00:00.005001 [41798a58345e INFO 2023-01-08 06:07:11,697 PID:5168] [Rank: 1] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:07:11,698 PID:5170] [Rank: 3] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:07:11,721 PID:5168] [Rank: 1] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:07:11,722 PID:5170] [Rank: 3] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:07:11,745 PID:5161] [Rank: 0] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:07:11,746 PID:5167] [Rank: 2] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:07:11,785 PID:5161] [Rank: 0] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:07:11,787 PID:5167] [Rank: 2] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:07:11,788 PID:5161] [Rank: 0] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:07:11,788 PID:5167] [Rank: 2] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:07:11,788 PID:5170] [Rank: 3] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:07:11,788 PID:5168] [Rank: 1] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:07:11,832 PID:5167] [Rank: 2] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:07:11,832 PID:5168] [Rank: 1] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:07:11,832 PID:5161] [Rank: 0] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:07:11,832 PID:5170] [Rank: 3] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:07:11,998 PID:5168] [Rank: 1] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:07:11,998 PID:5170] [Rank: 3] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:07:11,998 PID:5161] [Rank: 0] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:07:11,999 PID:5167] [Rank: 2] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:07:12,446 PID:5167] There are 16390 edges in partition 2 [41798a58345e INFO 2023-01-08 06:07:12,452 PID:5170] There are 15497 edges in partition 3 [41798a58345e INFO 2023-01-08 06:07:12,453 PID:5161] There are 15824 edges in partition 0 [41798a58345e INFO 2023-01-08 06:07:12,455 PID:5168] There are 14689 edges in partition 1 [41798a58345e INFO 2023-01-08 06:07:12,565 PID:5168] [Rank: 1] Time to create dgl objects: 0:00:00.567169 [41798a58345e INFO 2023-01-08 06:07:12,565 PID:5170] [Rank: 3] Time to create dgl objects: 0:00:00.567129 [41798a58345e INFO 2023-01-08 06:07:12,566 PID:5168] [Rank: 1] Total execution time of the program: 0:00:07.677640 [41798a58345e INFO 2023-01-08 06:07:12,566 PID:5167] [Rank: 2] Time to create dgl objects: 0:00:00.566748 [41798a58345e INFO 2023-01-08 06:07:12,566 PID:5170] [Rank: 3] Total execution time of the program: 0:00:07.677672 [41798a58345e INFO 2023-01-08 06:07:12,566 PID:5168] [Rank: 1] Done with Distributed data processing pipeline processing. [41798a58345e INFO 2023-01-08 06:07:12,566 PID:5167] [Rank: 2] Total execution time of the program: 0:00:07.678019 [Rank: 1 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:07:12,566 PID:5170] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 3 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:07:12,567 PID:5167] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:07:12,567 PID:5161] [Rank: 0] Time to create dgl objects: 0:00:00.568022 [41798a58345e INFO 2023-01-08 06:07:12,567 PID:5161] [Rank: 0] Total execution time of the program: 0:00:07.679021 [41798a58345e INFO 2023-01-08 06:07:12,567 PID:5161] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 57%] tests/tools/test_dist_part.py::test_pipeline_basics[9-6-3] Done with creating chunked graph INFO:root:Changing directory to /tmp/tmp32zg2lli/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4483@7 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4483@7 /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp32zg2lli/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp32zg2lli/parted_data --input-dir /tmp/tmp32zg2lli/chunked-data --graph-name mag240m --schema metadata.json --num-parts 6 --output /tmp/tmp32zg2lli/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp32zg2lli/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp32zg2lli/parted_data --input-dir /tmp/tmp32zg2lli/chunked-data --graph-name mag240m --schema metadata.json --num-parts 6 --output /tmp/tmp32zg2lli/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp32zg2lli/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp32zg2lli/parted_data --input-dir /tmp/tmp32zg2lli/chunked-data --graph-name mag240m --schema metadata.json --num-parts 6 --output /tmp/tmp32zg2lli/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp32zg2lli/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 3 --partitions-dir /tmp/tmp32zg2lli/parted_data --input-dir /tmp/tmp32zg2lli/chunked-data --graph-name mag240m --schema metadata.json --num-parts 6 --output /tmp/tmp32zg2lli/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs [41798a58345e INFO 2023-01-08 06:07:17,822 PID:5786] Added key: store_based_barrier_key:1 to store for rank: 0 [41798a58345e INFO 2023-01-08 06:07:17,832 PID:5790] Added key: store_based_barrier_key:1 to store for rank: 2 [41798a58345e INFO 2023-01-08 06:07:17,832 PID:5790] Rank 2: Completed store-based barrier for key:store_based_barrier_key:1 with 3 nodes. [41798a58345e INFO 2023-01-08 06:07:17,832 PID:5787] Added key: store_based_barrier_key:1 to store for rank: 1 [41798a58345e INFO 2023-01-08 06:07:17,832 PID:5787] Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 3 nodes. [41798a58345e INFO 2023-01-08 06:07:17,833 PID:5786] Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 3 nodes. [41798a58345e INFO 2023-01-08 06:07:17,833 PID:5786] [Rank: 0] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:07:17,833 PID:5786] [Rank: 0] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:07:17,833 PID:5790] [Rank: 2] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:07:17,833 PID:5787] [Rank: 1] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:07:17,833 PID:5790] [Rank: 2] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:07:17,833 PID:5787] [Rank: 1] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:07:17,836 PID:5786] [Rank: 0] Reading file: /tmp/tmp32zg2lli/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:07:17,836 PID:5790] [Rank: 2] Reading file: /tmp/tmp32zg2lli/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:07:17,836 PID:5787] [Rank: 1] Reading file: /tmp/tmp32zg2lli/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:07:17,839 PID:5790] [Rank: 2] Reading file: /tmp/tmp32zg2lli/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:07:17,839 PID:5787] [Rank: 1] Reading file: /tmp/tmp32zg2lli/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:07:17,839 PID:5786] [Rank: 0] Reading file: /tmp/tmp32zg2lli/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:07:17,840 PID:5790] [Rank: 2] Reading file: /tmp/tmp32zg2lli/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:07:17,840 PID:5787] [Rank: 1] Reading file: /tmp/tmp32zg2lli/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:07:17,840 PID:5786] [Rank: 0] Reading file: /tmp/tmp32zg2lli/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:07:17,841 PID:5790] [Rank: 2] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:07:17,841 PID:5786] [Rank: 0] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:07:17,842 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,842 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,843 PID:5787] [Rank: 1] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:07:17,843 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:17,844 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,844 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:17,844 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,845 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,845 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:17,845 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,845 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:17,845 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,846 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:17,846 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:17,846 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:17,846 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,847 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:17,848 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,849 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:17,937 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,937 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,937 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,937 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:17,937 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:17,937 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,937 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:17,937 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,937 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,938 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:17,938 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,938 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:17,938 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,938 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:17,938 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,938 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:17,938 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:17,938 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:17,971 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,971 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,971 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,972 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:17,972 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:17,972 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:17,972 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,972 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,972 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,972 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:17,972 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:17,972 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:17,972 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,972 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,972 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:17,972 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:17,972 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:17,972 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/author/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:18,004 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,004 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,004 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,004 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:18,004 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:18,004 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:18,004 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,004 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,004 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,005 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:18,005 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,005 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:18,005 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:18,005 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,005 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,005 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:18,005 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:18,005 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:18,036 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,036 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,036 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,037 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:18,037 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:18,037 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:18,037 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,037 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,037 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,037 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:18,037 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:18,037 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:18,037 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,037 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,037 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,037 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:18,037 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:18,038 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:18,069 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,069 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,069 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,069 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:18,069 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:18,069 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:18,069 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,069 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,069 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,070 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:18,070 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:18,070 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:18,070 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,070 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,070 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,070 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:18,070 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:18,070 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/institution/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:18,101 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,101 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,101 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,102 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-6.npy [41798a58345e INFO 2023-01-08 06:07:18,102 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-3.npy [41798a58345e INFO 2023-01-08 06:07:18,102 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,102 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-0.npy [41798a58345e INFO 2023-01-08 06:07:18,102 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,102 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,102 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-4.npy [41798a58345e INFO 2023-01-08 06:07:18,102 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-7.npy [41798a58345e INFO 2023-01-08 06:07:18,102 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,102 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-1.npy [41798a58345e INFO 2023-01-08 06:07:18,102 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,102 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,102 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-5.npy [41798a58345e INFO 2023-01-08 06:07:18,102 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-8.npy [41798a58345e INFO 2023-01-08 06:07:18,102 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/feat-2.npy [41798a58345e INFO 2023-01-08 06:07:18,134 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,134 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,134 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,135 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-6.npy [41798a58345e INFO 2023-01-08 06:07:18,135 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-3.npy [41798a58345e INFO 2023-01-08 06:07:18,135 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,135 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-0.npy [41798a58345e INFO 2023-01-08 06:07:18,135 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,135 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,135 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-7.npy [41798a58345e INFO 2023-01-08 06:07:18,135 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-4.npy [41798a58345e INFO 2023-01-08 06:07:18,135 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-1.npy [41798a58345e INFO 2023-01-08 06:07:18,135 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,135 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,135 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,135 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-8.npy [41798a58345e INFO 2023-01-08 06:07:18,135 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-5.npy [41798a58345e INFO 2023-01-08 06:07:18,135 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/label-2.npy [41798a58345e INFO 2023-01-08 06:07:18,167 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,167 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,167 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,167 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-6.npy [41798a58345e INFO 2023-01-08 06:07:18,167 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:07:18,167 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,167 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,167 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:07:18,167 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,167 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-4.npy [41798a58345e INFO 2023-01-08 06:07:18,167 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-7.npy [41798a58345e INFO 2023-01-08 06:07:18,167 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:07:18,167 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,167 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,167 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,168 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-5.npy [41798a58345e INFO 2023-01-08 06:07:18,168 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-8.npy [41798a58345e INFO 2023-01-08 06:07:18,168 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:07:18,199 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,199 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,199 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,199 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:18,199 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:18,199 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:18,200 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,200 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,200 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,200 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:18,200 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:18,200 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:18,200 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,200 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,200 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,200 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:18,200 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:18,200 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:18,231 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,231 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,231 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,232 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:18,232 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:18,232 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:18,232 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,232 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,232 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,232 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:18,232 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:18,232 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:18,232 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,232 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,232 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,232 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:18,232 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:18,232 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:18,264 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,264 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,264 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,264 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:18,264 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:18,264 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:18,264 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,264 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,264 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,265 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:18,265 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:18,265 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:18,265 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,265 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,265 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,265 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:18,265 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:18,265 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:18,296 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,296 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,296 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,297 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-3.npy [41798a58345e INFO 2023-01-08 06:07:18,297 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-6.npy [41798a58345e INFO 2023-01-08 06:07:18,297 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-0.npy [41798a58345e INFO 2023-01-08 06:07:18,297 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,297 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,297 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,297 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-4.npy [41798a58345e INFO 2023-01-08 06:07:18,297 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-7.npy [41798a58345e INFO 2023-01-08 06:07:18,297 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-1.npy [41798a58345e INFO 2023-01-08 06:07:18,297 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,297 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,297 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,297 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-5.npy [41798a58345e INFO 2023-01-08 06:07:18,297 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-8.npy [41798a58345e INFO 2023-01-08 06:07:18,297 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/node_data/paper/year-2.npy [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: author/test_mask/0, feature data shape: torch.Size([266]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: author/test_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: author/train_mask/0, feature data shape: torch.Size([266]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: author/train_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: author/val_mask/0, feature data shape: torch.Size([266]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: author/val_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: institution/test_mask/0, feature data shape: torch.Size([266]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: institution/test_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: institution/train_mask/0, feature data shape: torch.Size([266]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: institution/train_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: institution/val_mask/0, feature data shape: torch.Size([266]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: institution/val_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: paper/feat/0, feature data shape: torch.Size([266, 3]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: paper/feat/1, feature data shape: torch.Size([133, 3]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: paper/label/0, feature data shape: torch.Size([266]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: paper/label/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: author/test_mask/0, feature data shape: torch.Size([268]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: author/test_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: author/train_mask/0, feature data shape: torch.Size([268]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: author/train_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: author/val_mask/0, feature data shape: torch.Size([268]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: author/val_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: institution/test_mask/0, feature data shape: torch.Size([268]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: institution/test_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: institution/train_mask/0, feature data shape: torch.Size([268]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: institution/train_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: institution/val_mask/0, feature data shape: torch.Size([268]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: institution/val_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: paper/orig_ids/0, feature data shape: torch.Size([266]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5790] [Rank: 2] node feature name: paper/orig_ids/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5790] [Rank: 2] node feature name: paper/test_mask/0, feature data shape: torch.Size([266]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: paper/feat/0, feature data shape: torch.Size([268, 3]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: paper/feat/1, feature data shape: torch.Size([133, 3]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: paper/label/0, feature data shape: torch.Size([268]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: paper/label/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: paper/orig_ids/0, feature data shape: torch.Size([268]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: paper/orig_ids/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5790] [Rank: 2] node feature name: paper/test_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: author/test_mask/0, feature data shape: torch.Size([267]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: author/test_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: author/train_mask/0, feature data shape: torch.Size([267]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: author/train_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: author/val_mask/0, feature data shape: torch.Size([267]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: author/val_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: institution/test_mask/0, feature data shape: torch.Size([267]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: institution/test_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: institution/train_mask/0, feature data shape: torch.Size([267]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: institution/train_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: institution/val_mask/0, feature data shape: torch.Size([267]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: institution/val_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: paper/feat/0, feature data shape: torch.Size([267, 3]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: paper/feat/1, feature data shape: torch.Size([133, 3]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5790] [Rank: 2] node feature name: paper/train_mask/0, feature data shape: torch.Size([266]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5786] [Rank: 0] node feature name: paper/test_mask/0, feature data shape: torch.Size([268]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5786] [Rank: 0] node feature name: paper/test_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5786] [Rank: 0] node feature name: paper/train_mask/0, feature data shape: torch.Size([268]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5790] [Rank: 2] node feature name: paper/train_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5786] [Rank: 0] node feature name: paper/train_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5786] [Rank: 0] node feature name: paper/val_mask/0, feature data shape: torch.Size([268]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5790] [Rank: 2] node feature name: paper/val_mask/0, feature data shape: torch.Size([266]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: paper/label/0, feature data shape: torch.Size([267]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: paper/label/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: paper/orig_ids/0, feature data shape: torch.Size([267]) [41798a58345e INFO 2023-01-08 06:07:18,329 PID:5787] [Rank: 1] node feature name: paper/orig_ids/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5787] [Rank: 1] node feature name: paper/test_mask/0, feature data shape: torch.Size([267]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5787] [Rank: 1] node feature name: paper/test_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5787] [Rank: 1] node feature name: paper/train_mask/0, feature data shape: torch.Size([267]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5787] [Rank: 1] node feature name: paper/train_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5786] [Rank: 0] node feature name: paper/val_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5786] [Rank: 0] node feature name: paper/year/0, feature data shape: torch.Size([268]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5790] [Rank: 2] node feature name: paper/val_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5790] [Rank: 2] node feature name: paper/year/0, feature data shape: torch.Size([266]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5786] [Rank: 0] node feature name: paper/year/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5787] [Rank: 1] node feature name: paper/val_mask/0, feature data shape: torch.Size([267]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5787] [Rank: 1] node feature name: paper/val_mask/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5787] [Rank: 1] node feature name: paper/year/0, feature data shape: torch.Size([267]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5790] [Rank: 2] node feature name: paper/year/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5787] [Rank: 1] node feature name: paper/year/1, feature data shape: torch.Size([133]) [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,330 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,331 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy [41798a58345e INFO 2023-01-08 06:07:18,331 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:07:18,331 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy [41798a58345e INFO 2023-01-08 06:07:18,331 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,331 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,331 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,331 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy [41798a58345e INFO 2023-01-08 06:07:18,331 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:07:18,331 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/orig_ids-8.npy [41798a58345e INFO 2023-01-08 06:07:18,362 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,362 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,362 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,363 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:18,363 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:18,363 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:18,363 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,363 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,363 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,363 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:18,363 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:18,363 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:18,363 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,363 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,363 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,363 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:18,363 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:18,363 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:18,395 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,395 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,395 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,395 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:18,395 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:18,395 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,395 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,395 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:18,395 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,396 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:18,396 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:18,396 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:18,396 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,396 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,396 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,396 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:18,396 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:18,396 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:18,427 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,427 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,427 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,428 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:18,428 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:18,428 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:18,428 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,428 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,428 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,428 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:18,428 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:18,428 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:18,428 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,428 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,428 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,428 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:18,428 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:18,428 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:18,460 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,460 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,460 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,460 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:07:18,460 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:07:18,460 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-6.npy [41798a58345e INFO 2023-01-08 06:07:18,460 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,460 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,460 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,461 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:07:18,461 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:07:18,461 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-7.npy [41798a58345e INFO 2023-01-08 06:07:18,461 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,461 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,461 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,461 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:07:18,461 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-5.npy [41798a58345e INFO 2023-01-08 06:07:18,461 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/author:writes:paper/year-8.npy [41798a58345e INFO 2023-01-08 06:07:18,492 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,492 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,492 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,493 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:07:18,493 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-6.npy [41798a58345e INFO 2023-01-08 06:07:18,493 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:07:18,493 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,493 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,493 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,493 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:07:18,493 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:07:18,493 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-7.npy [41798a58345e INFO 2023-01-08 06:07:18,493 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,493 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,493 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,493 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:07:18,493 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-5.npy [41798a58345e INFO 2023-01-08 06:07:18,493 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/institution:writes:paper/year-8.npy [41798a58345e INFO 2023-01-08 06:07:18,525 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,525 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,525 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,525 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-3.npy [41798a58345e INFO 2023-01-08 06:07:18,525 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-6.npy [41798a58345e INFO 2023-01-08 06:07:18,525 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-0.npy [41798a58345e INFO 2023-01-08 06:07:18,525 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,525 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,525 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,526 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-4.npy [41798a58345e INFO 2023-01-08 06:07:18,526 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-7.npy [41798a58345e INFO 2023-01-08 06:07:18,526 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-1.npy [41798a58345e INFO 2023-01-08 06:07:18,526 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,526 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,526 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,526 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-5.npy [41798a58345e INFO 2023-01-08 06:07:18,526 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-8.npy [41798a58345e INFO 2023-01-08 06:07:18,526 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:cites:paper/count-2.npy [41798a58345e INFO 2023-01-08 06:07:18,558 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,558 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,558 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,558 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [41798a58345e INFO 2023-01-08 06:07:18,558 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [41798a58345e INFO 2023-01-08 06:07:18,558 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-6.npy [41798a58345e INFO 2023-01-08 06:07:18,558 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,558 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,558 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,558 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-4.npy [41798a58345e INFO 2023-01-08 06:07:18,558 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [41798a58345e INFO 2023-01-08 06:07:18,558 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-7.npy [41798a58345e INFO 2023-01-08 06:07:18,558 PID:5787] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,558 PID:5786] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,558 PID:5790] Reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:18,559 PID:5787] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-5.npy [41798a58345e INFO 2023-01-08 06:07:18,559 PID:5786] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [41798a58345e INFO 2023-01-08 06:07:18,559 PID:5790] Done reading from /tmp/tmp32zg2lli/chunked-data/edge_data/paper:rev_writes:author/year-8.npy [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5790] [Rank: 2] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([2666]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5790] [Rank: 2] edge feature name: author:writes:paper/orig_ids/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5790] [Rank: 2] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([2666]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5790] [Rank: 2] edge feature name: author:writes:paper/test_mask/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5790] [Rank: 2] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([2666]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5790] [Rank: 2] edge feature name: author:writes:paper/train_mask/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5790] [Rank: 2] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([2666]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5790] [Rank: 2] edge feature name: author:writes:paper/val_mask/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5790] [Rank: 2] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([2666]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5790] [Rank: 2] edge feature name: author:writes:paper/year/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5790] [Rank: 2] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([2666]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5790] [Rank: 2] edge feature name: institution:writes:paper/year/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5790] [Rank: 2] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([5334]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5790] [Rank: 2] edge feature name: paper:cites:paper/count/1, feature data shape: torch.Size([2666]) [41798a58345e INFO 2023-01-08 06:07:18,591 PID:5790] [Rank: 2] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([2666]) [41798a58345e INFO 2023-01-08 06:07:18,591 PID:5790] [Rank: 2] edge feature name: paper:rev_writes:author/year/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5787] [Rank: 1] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([2667]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5787] [Rank: 1] edge feature name: author:writes:paper/orig_ids/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5787] [Rank: 1] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([2667]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5787] [Rank: 1] edge feature name: author:writes:paper/test_mask/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5787] [Rank: 1] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([2667]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5787] [Rank: 1] edge feature name: author:writes:paper/train_mask/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5787] [Rank: 1] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([2667]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5787] [Rank: 1] edge feature name: author:writes:paper/val_mask/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5787] [Rank: 1] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([2667]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5787] [Rank: 1] edge feature name: author:writes:paper/year/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5787] [Rank: 1] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([2667]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5787] [Rank: 1] edge feature name: institution:writes:paper/year/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5787] [Rank: 1] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([5334]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5786] [Rank: 0] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([2668]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5786] [Rank: 0] edge feature name: author:writes:paper/orig_ids/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5786] [Rank: 0] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([2668]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5786] [Rank: 0] edge feature name: author:writes:paper/test_mask/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5786] [Rank: 0] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([2668]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5786] [Rank: 0] edge feature name: author:writes:paper/train_mask/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5786] [Rank: 0] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([2668]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5786] [Rank: 0] edge feature name: author:writes:paper/val_mask/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5786] [Rank: 0] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([2668]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5786] [Rank: 0] edge feature name: author:writes:paper/year/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5786] [Rank: 0] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([2668]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5786] [Rank: 0] edge feature name: institution:writes:paper/year/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,591 PID:5787] [Rank: 1] edge feature name: paper:cites:paper/count/1, feature data shape: torch.Size([2666]) [41798a58345e INFO 2023-01-08 06:07:18,591 PID:5787] [Rank: 1] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([2667]) [41798a58345e INFO 2023-01-08 06:07:18,591 PID:5787] [Rank: 1] edge feature name: paper:rev_writes:author/year/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,590 PID:5786] [Rank: 0] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([5334]) [41798a58345e INFO 2023-01-08 06:07:18,591 PID:5786] [Rank: 0] edge feature name: paper:cites:paper/count/1, feature data shape: torch.Size([2666]) [41798a58345e INFO 2023-01-08 06:07:18,591 PID:5786] [Rank: 0] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([2668]) [41798a58345e INFO 2023-01-08 06:07:18,591 PID:5786] [Rank: 0] edge feature name: paper:rev_writes:author/year/1, feature data shape: torch.Size([1333]) [41798a58345e INFO 2023-01-08 06:07:18,591 PID:5790] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:affiliated_with:institution4.txt [41798a58345e INFO 2023-01-08 06:07:18,591 PID:5787] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:affiliated_with:institution2.txt [41798a58345e INFO 2023-01-08 06:07:18,591 PID:5786] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:affiliated_with:institution0.txt [41798a58345e INFO 2023-01-08 06:07:18,592 PID:5790] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:affiliated_with:institution5.txt [41798a58345e INFO 2023-01-08 06:07:18,592 PID:5787] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:affiliated_with:institution3.txt [41798a58345e INFO 2023-01-08 06:07:18,592 PID:5786] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:affiliated_with:institution1.txt [41798a58345e INFO 2023-01-08 06:07:18,592 PID:5790] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:affiliated_with:institution8.txt [41798a58345e INFO 2023-01-08 06:07:18,592 PID:5787] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:affiliated_with:institution7.txt [41798a58345e INFO 2023-01-08 06:07:18,592 PID:5786] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:affiliated_with:institution6.txt [41798a58345e INFO 2023-01-08 06:07:18,593 PID:5787] Loading edges of etype[author:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:07:18,593 PID:5790] Loading edges of etype[author:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:07:18,593 PID:5786] Loading edges of etype[author:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:07:18,593 PID:5787] Loading edges of etype[author:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:07:18,594 PID:5790] Loading edges of etype[author:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:07:18,594 PID:5786] Loading edges of etype[author:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:07:18,594 PID:5787] Loading edges of etype[author:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:07:18,594 PID:5790] Loading edges of etype[author:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:writes:paper8.txt [41798a58345e INFO 2023-01-08 06:07:18,594 PID:5786] Loading edges of etype[author:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/author:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:07:18,595 PID:5787] Loading edges of etype[institution:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/institution:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:07:18,595 PID:5790] Loading edges of etype[institution:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/institution:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:07:18,595 PID:5786] Loading edges of etype[institution:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/institution:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:07:18,596 PID:5787] Loading edges of etype[institution:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/institution:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:07:18,596 PID:5790] Loading edges of etype[institution:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/institution:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:07:18,596 PID:5786] Loading edges of etype[institution:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/institution:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:07:18,596 PID:5787] Loading edges of etype[institution:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/institution:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:07:18,596 PID:5786] Loading edges of etype[institution:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/institution:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:07:18,596 PID:5790] Loading edges of etype[institution:writes:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/institution:writes:paper8.txt [41798a58345e INFO 2023-01-08 06:07:18,597 PID:5787] Loading edges of etype[paper:cites:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:cites:paper2.txt [41798a58345e INFO 2023-01-08 06:07:18,597 PID:5786] Loading edges of etype[paper:cites:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:cites:paper0.txt [41798a58345e INFO 2023-01-08 06:07:18,597 PID:5790] Loading edges of etype[paper:cites:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:cites:paper4.txt [41798a58345e INFO 2023-01-08 06:07:18,598 PID:5787] Loading edges of etype[paper:cites:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:cites:paper3.txt [41798a58345e INFO 2023-01-08 06:07:18,598 PID:5786] Loading edges of etype[paper:cites:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:cites:paper1.txt [41798a58345e INFO 2023-01-08 06:07:18,598 PID:5790] Loading edges of etype[paper:cites:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:cites:paper5.txt [41798a58345e INFO 2023-01-08 06:07:18,599 PID:5787] Loading edges of etype[paper:cites:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:cites:paper7.txt [41798a58345e INFO 2023-01-08 06:07:18,599 PID:5786] Loading edges of etype[paper:cites:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:cites:paper6.txt [41798a58345e INFO 2023-01-08 06:07:18,599 PID:5790] Loading edges of etype[paper:cites:paper] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:cites:paper8.txt [41798a58345e INFO 2023-01-08 06:07:18,600 PID:5787] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:rev_writes:author2.txt [41798a58345e INFO 2023-01-08 06:07:18,600 PID:5786] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:rev_writes:author0.txt [41798a58345e INFO 2023-01-08 06:07:18,600 PID:5790] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:rev_writes:author4.txt [41798a58345e INFO 2023-01-08 06:07:18,601 PID:5787] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:rev_writes:author3.txt [41798a58345e INFO 2023-01-08 06:07:18,601 PID:5786] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:rev_writes:author1.txt [41798a58345e INFO 2023-01-08 06:07:18,601 PID:5790] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:rev_writes:author5.txt [41798a58345e INFO 2023-01-08 06:07:18,601 PID:5787] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:rev_writes:author7.txt [41798a58345e INFO 2023-01-08 06:07:18,601 PID:5786] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:rev_writes:author6.txt [41798a58345e INFO 2023-01-08 06:07:18,602 PID:5790] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp32zg2lli/chunked-data/edge_index/paper:rev_writes:author8.txt [41798a58345e INFO 2023-01-08 06:07:18,602 PID:5787] [Rank: 1] Done reading edge_file: 4, (20800,) [41798a58345e INFO 2023-01-08 06:07:18,602 PID:5787] Rank: 1 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(2668, 5335)], 'author:writes:paper/orig_ids/1': [(9334, 10667)], 'author:writes:paper/test_mask/0': [(2668, 5335)], 'author:writes:paper/test_mask/1': [(9334, 10667)], 'author:writes:paper/train_mask/0': [(2668, 5335)], 'author:writes:paper/train_mask/1': [(9334, 10667)], 'author:writes:paper/val_mask/0': [(2668, 5335)], 'author:writes:paper/val_mask/1': [(9334, 10667)], 'author:writes:paper/year/0': [(2668, 5335)], 'author:writes:paper/year/1': [(9334, 10667)], 'institution:writes:paper/year/0': [(2668, 5335)], 'institution:writes:paper/year/1': [(9334, 10667)], 'paper:cites:paper/count/0': [(5334, 10668)], 'paper:cites:paper/count/1': [(18668, 21334)], 'paper:rev_writes:author/year/0': [(2668, 5335)], 'paper:rev_writes:author/year/1': [(9334, 10667)]} [41798a58345e INFO 2023-01-08 06:07:18,602 PID:5787] [Rank: 1] Done reading dataset /tmp/tmp32zg2lli/chunked-data [41798a58345e INFO 2023-01-08 06:07:18,602 PID:5786] [Rank: 0] Done reading edge_file: 4, (20803,) [41798a58345e INFO 2023-01-08 06:07:18,602 PID:5786] Rank: 0 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(0, 2668)], 'author:writes:paper/orig_ids/1': [(8001, 9334)], 'author:writes:paper/test_mask/0': [(0, 2668)], 'author:writes:paper/test_mask/1': [(8001, 9334)], 'author:writes:paper/train_mask/0': [(0, 2668)], 'author:writes:paper/train_mask/1': [(8001, 9334)], 'author:writes:paper/val_mask/0': [(0, 2668)], 'author:writes:paper/val_mask/1': [(8001, 9334)], 'author:writes:paper/year/0': [(0, 2668)], 'author:writes:paper/year/1': [(8001, 9334)], 'institution:writes:paper/year/0': [(0, 2668)], 'institution:writes:paper/year/1': [(8001, 9334)], 'paper:cites:paper/count/0': [(0, 5334)], 'paper:cites:paper/count/1': [(16002, 18668)], 'paper:rev_writes:author/year/0': [(0, 2668)], 'paper:rev_writes:author/year/1': [(8001, 9334)]} [41798a58345e INFO 2023-01-08 06:07:18,602 PID:5786] [Rank: 0] Done reading dataset /tmp/tmp32zg2lli/chunked-data [41798a58345e INFO 2023-01-08 06:07:18,602 PID:5790] [Rank: 2] Done reading edge_file: 4, (20797,) [41798a58345e INFO 2023-01-08 06:07:18,603 PID:5790] Rank: 2 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(5335, 8001)], 'author:writes:paper/orig_ids/1': [(10667, 12000)], 'author:writes:paper/test_mask/0': [(5335, 8001)], 'author:writes:paper/test_mask/1': [(10667, 12000)], 'author:writes:paper/train_mask/0': [(5335, 8001)], 'author:writes:paper/train_mask/1': [(10667, 12000)], 'author:writes:paper/val_mask/0': [(5335, 8001)], 'author:writes:paper/val_mask/1': [(10667, 12000)], 'author:writes:paper/year/0': [(5335, 8001)], 'author:writes:paper/year/1': [(10667, 12000)], 'institution:writes:paper/year/0': [(5335, 8001)], 'institution:writes:paper/year/1': [(10667, 12000)], 'paper:cites:paper/count/0': [(10668, 16002)], 'paper:cites:paper/count/1': [(21334, 24000)], 'paper:rev_writes:author/year/0': [(5335, 8001)], 'paper:rev_writes:author/year/1': [(10667, 12000)]} [41798a58345e INFO 2023-01-08 06:07:18,603 PID:5790] [Rank: 2] Done reading dataset /tmp/tmp32zg2lli/chunked-data [41798a58345e INFO 2023-01-08 06:07:18,758 PID:5790] [Rank: 2] Done augmenting edge_data: 6, (20797,) [41798a58345e INFO 2023-01-08 06:07:18,758 PID:5790] [Rank: 2] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:07:18,758 PID:5787] [Rank: 1] Done augmenting edge_data: 6, (20800,) [41798a58345e INFO 2023-01-08 06:07:18,758 PID:5787] [Rank: 1] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:07:18,758 PID:5790] [Rank: 2] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:18,759 PID:5787] [Rank: 1] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:18,766 PID:5786] [Rank: 0] Done augmenting edge_data: 6, (20803,) [41798a58345e INFO 2023-01-08 06:07:18,766 PID:5786] [Rank: 0] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:07:18,766 PID:5786] [Rank: 0] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:18,927 PID:5786] [Rank: 0] processing feature: author/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:18,927 PID:5787] [Rank: 1] processing feature: author/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:18,927 PID:5790] [Rank: 2] processing feature: author/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:19,026 PID:5786] [Rank: 0] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:19,026 PID:5787] [Rank: 1] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:19,026 PID:5790] [Rank: 2] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:19,242 PID:5787] [Rank: 1] processing feature: author/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:19,242 PID:5790] [Rank: 2] processing feature: author/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:19,242 PID:5786] [Rank: 0] processing feature: author/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:19,337 PID:5786] [Rank: 0] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:19,337 PID:5790] [Rank: 2] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:19,337 PID:5787] [Rank: 1] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:19,578 PID:5787] [Rank: 1] processing feature: author/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:19,578 PID:5786] [Rank: 0] processing feature: author/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:19,578 PID:5790] [Rank: 2] processing feature: author/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:19,695 PID:5787] [Rank: 1] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:19,695 PID:5786] [Rank: 0] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:19,695 PID:5790] [Rank: 2] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:19,909 PID:5790] [Rank: 2] processing feature: institution/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:19,909 PID:5786] [Rank: 0] processing feature: institution/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:19,909 PID:5787] [Rank: 1] processing feature: institution/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:20,012 PID:5786] [Rank: 0] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:20,012 PID:5790] [Rank: 2] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:20,012 PID:5787] [Rank: 1] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:20,248 PID:5787] [Rank: 1] processing feature: institution/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:20,248 PID:5786] [Rank: 0] processing feature: institution/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:20,248 PID:5790] [Rank: 2] processing feature: institution/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:20,351 PID:5786] [Rank: 0] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:20,351 PID:5790] [Rank: 2] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:20,351 PID:5787] [Rank: 1] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:20,581 PID:5786] [Rank: 0] processing feature: institution/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:20,581 PID:5790] [Rank: 2] processing feature: institution/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:20,581 PID:5787] [Rank: 1] processing feature: institution/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:20,682 PID:5787] [Rank: 1] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:07:20,682 PID:5786] [Rank: 0] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:07:20,682 PID:5790] [Rank: 2] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:07:20,905 PID:5786] [Rank: 0] processing feature: paper/feat/1 [41798a58345e INFO 2023-01-08 06:07:20,905 PID:5790] [Rank: 2] processing feature: paper/feat/1 [41798a58345e INFO 2023-01-08 06:07:20,906 PID:5787] [Rank: 1] processing feature: paper/feat/1 [41798a58345e INFO 2023-01-08 06:07:21,012 PID:5787] [Rank: 1] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:07:21,012 PID:5786] [Rank: 0] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:07:21,012 PID:5790] [Rank: 2] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:07:21,260 PID:5787] [Rank: 1] processing feature: paper/label/1 [41798a58345e INFO 2023-01-08 06:07:21,260 PID:5790] [Rank: 2] processing feature: paper/label/1 [41798a58345e INFO 2023-01-08 06:07:21,260 PID:5786] [Rank: 0] processing feature: paper/label/1 [41798a58345e INFO 2023-01-08 06:07:21,357 PID:5790] [Rank: 2] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:21,357 PID:5786] [Rank: 0] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:21,357 PID:5787] [Rank: 1] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:21,580 PID:5786] [Rank: 0] processing feature: paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:07:21,580 PID:5790] [Rank: 2] processing feature: paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:07:21,580 PID:5787] [Rank: 1] processing feature: paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:07:21,681 PID:5786] [Rank: 0] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:21,681 PID:5790] [Rank: 2] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:21,681 PID:5787] [Rank: 1] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:21,919 PID:5790] [Rank: 2] processing feature: paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:21,919 PID:5786] [Rank: 0] processing feature: paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:21,919 PID:5787] [Rank: 1] processing feature: paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:22,021 PID:5787] [Rank: 1] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:22,021 PID:5786] [Rank: 0] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:22,021 PID:5790] [Rank: 2] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:22,268 PID:5786] [Rank: 0] processing feature: paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:22,268 PID:5790] [Rank: 2] processing feature: paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:22,268 PID:5787] [Rank: 1] processing feature: paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:22,365 PID:5786] [Rank: 0] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:22,365 PID:5790] [Rank: 2] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:22,365 PID:5787] [Rank: 1] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:22,602 PID:5790] [Rank: 2] processing feature: paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:22,602 PID:5786] [Rank: 0] processing feature: paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:22,602 PID:5787] [Rank: 1] processing feature: paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:22,691 PID:5787] [Rank: 1] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:07:22,691 PID:5786] [Rank: 0] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:07:22,691 PID:5790] [Rank: 2] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:07:22,874 PID:5790] [Rank: 2] processing feature: paper/year/1 [41798a58345e INFO 2023-01-08 06:07:22,874 PID:5787] [Rank: 1] processing feature: paper/year/1 [41798a58345e INFO 2023-01-08 06:07:22,874 PID:5786] [Rank: 0] processing feature: paper/year/1 [41798a58345e INFO 2023-01-08 06:07:22,980 PID:5790] [Rank: 2] Total time for feature exchange: 0:00:04.221129 [41798a58345e INFO 2023-01-08 06:07:22,980 PID:5786] [Rank: 0] Total time for feature exchange: 0:00:04.213365 [41798a58345e INFO 2023-01-08 06:07:22,980 PID:5790] [Rank: 2] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:07:22,980 PID:5790] [Rank: 2] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:22,980 PID:5786] [Rank: 0] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:07:22,980 PID:5786] [Rank: 0] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:22,980 PID:5787] [Rank: 1] Total time for feature exchange: 0:00:04.221106 [41798a58345e INFO 2023-01-08 06:07:22,980 PID:5787] [Rank: 1] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:07:22,980 PID:5787] [Rank: 1] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:23,360 PID:5786] [Rank: 0] processing feature: author:writes:paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:07:23,360 PID:5787] [Rank: 1] processing feature: author:writes:paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:07:23,360 PID:5790] [Rank: 2] processing feature: author:writes:paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:07:23,683 PID:5790] [Rank: 2] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:23,683 PID:5787] [Rank: 1] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:23,683 PID:5786] [Rank: 0] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:24,002 PID:5790] [Rank: 2] processing feature: author:writes:paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:24,002 PID:5786] [Rank: 0] processing feature: author:writes:paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:24,002 PID:5787] [Rank: 1] processing feature: author:writes:paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:24,341 PID:5786] [Rank: 0] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:24,341 PID:5787] [Rank: 1] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:24,341 PID:5790] [Rank: 2] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:24,671 PID:5787] [Rank: 1] processing feature: author:writes:paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:24,671 PID:5786] [Rank: 0] processing feature: author:writes:paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:24,671 PID:5790] [Rank: 2] processing feature: author:writes:paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:25,000 PID:5786] [Rank: 0] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:25,000 PID:5787] [Rank: 1] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:25,000 PID:5790] [Rank: 2] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:25,333 PID:5786] [Rank: 0] processing feature: author:writes:paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:25,333 PID:5787] [Rank: 1] processing feature: author:writes:paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:25,333 PID:5790] [Rank: 2] processing feature: author:writes:paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:25,682 PID:5787] [Rank: 1] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:25,683 PID:5786] [Rank: 0] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:25,683 PID:5790] [Rank: 2] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:25,978 PID:5790] [Rank: 2] processing feature: author:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:07:25,978 PID:5787] [Rank: 1] processing feature: author:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:07:25,978 PID:5786] [Rank: 0] processing feature: author:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:07:26,285 PID:5787] [Rank: 1] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:26,285 PID:5790] [Rank: 2] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:26,285 PID:5786] [Rank: 0] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:26,561 PID:5786] [Rank: 0] processing feature: institution:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:07:26,561 PID:5787] [Rank: 1] processing feature: institution:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:07:26,561 PID:5790] [Rank: 2] processing feature: institution:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:07:26,796 PID:5787] [Rank: 1] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:07:26,796 PID:5790] [Rank: 2] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:07:26,796 PID:5786] [Rank: 0] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:07:27,100 PID:5787] [Rank: 1] processing feature: paper:cites:paper/count/1 [41798a58345e INFO 2023-01-08 06:07:27,100 PID:5790] [Rank: 2] processing feature: paper:cites:paper/count/1 [41798a58345e INFO 2023-01-08 06:07:27,100 PID:5786] [Rank: 0] processing feature: paper:cites:paper/count/1 [41798a58345e INFO 2023-01-08 06:07:27,445 PID:5786] [Rank: 0] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:07:27,445 PID:5787] [Rank: 1] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:07:27,445 PID:5790] [Rank: 2] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:07:27,779 PID:5787] [Rank: 1] processing feature: paper:rev_writes:author/year/1 [41798a58345e INFO 2023-01-08 06:07:27,779 PID:5786] [Rank: 0] processing feature: paper:rev_writes:author/year/1 [41798a58345e INFO 2023-01-08 06:07:27,779 PID:5790] [Rank: 2] processing feature: paper:rev_writes:author/year/1 [41798a58345e INFO 2023-01-08 06:07:28,123 PID:5790] [Rank: 2] Total time for feature exchange: 0:00:05.142545 [41798a58345e INFO 2023-01-08 06:07:28,123 PID:5790] [Rank: 2] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:07:28,123 PID:5787] [Rank: 1] Total time for feature exchange: 0:00:05.142545 [41798a58345e INFO 2023-01-08 06:07:28,123 PID:5787] [Rank: 1] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:07:28,123 PID:5786] [Rank: 0] Total time for feature exchange: 0:00:05.142442 [41798a58345e INFO 2023-01-08 06:07:28,123 PID:5786] [Rank: 0] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:07:28,297 PID:5786] [Rank: 0] Time to send/rcv edge data: 0:00:00.006803 [41798a58345e INFO 2023-01-08 06:07:28,298 PID:5790] [Rank: 2] Time to send/rcv edge data: 0:00:00.006806 [41798a58345e INFO 2023-01-08 06:07:28,297 PID:5787] [Rank: 1] Time to send/rcv edge data: 0:00:00.006791 [41798a58345e INFO 2023-01-08 06:07:28,350 PID:5790] [Rank: 2] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:07:28,350 PID:5786] [Rank: 0] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:07:28,351 PID:5787] [Rank: 1] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:07:28,384 PID:5786] [Rank: 0] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:07:28,385 PID:5790] [Rank: 2] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:07:28,386 PID:5787] [Rank: 1] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:07:28,387 PID:5786] [Rank: 0] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:07:28,387 PID:5790] [Rank: 2] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:07:28,387 PID:5787] [Rank: 1] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:07:28,425 PID:5787] [Rank: 1] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:07:28,426 PID:5790] [Rank: 2] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:07:28,426 PID:5786] [Rank: 0] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:07:28,620 PID:5786] [Rank: 0] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:07:28,621 PID:5787] [Rank: 1] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:07:28,621 PID:5790] [Rank: 2] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:07:28,929 PID:5786] There are 11032 edges in partition 0 [41798a58345e INFO 2023-01-08 06:07:28,930 PID:5787] There are 9172 edges in partition 1 [41798a58345e INFO 2023-01-08 06:07:28,930 PID:5790] There are 11064 edges in partition 2 [41798a58345e INFO 2023-01-08 06:07:29,265 PID:5786] There are 10471 edges in partition 3 [41798a58345e INFO 2023-01-08 06:07:29,330 PID:5787] There are 10678 edges in partition 4 [41798a58345e INFO 2023-01-08 06:07:29,333 PID:5790] There are 9983 edges in partition 5 [41798a58345e INFO 2023-01-08 06:07:29,382 PID:5787] [Rank: 1] Time to create dgl objects: 0:00:00.761114 [41798a58345e INFO 2023-01-08 06:07:29,382 PID:5790] [Rank: 2] Time to create dgl objects: 0:00:00.761086 [41798a58345e INFO 2023-01-08 06:07:29,383 PID:5790] [Rank: 2] Total execution time of the program: 0:00:11.549423 [41798a58345e INFO 2023-01-08 06:07:29,383 PID:5787] [Rank: 1] Total execution time of the program: 0:00:11.549510 [41798a58345e INFO 2023-01-08 06:07:29,383 PID:5790] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [Rank: 5 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:07:29,383 PID:5787] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [Rank: 4 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:07:29,385 PID:5786] [Rank: 0] Time to create dgl objects: 0:00:00.764375 [41798a58345e INFO 2023-01-08 06:07:29,386 PID:5786] [Rank: 0] Total execution time of the program: 0:00:11.553031 [41798a58345e INFO 2023-01-08 06:07:29,387 PID:5786] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! [Rank: 3 Edge data is already sorted !!! PASSED [ 59%] tests/tools/test_dist_part.py::test_pipeline_basics[11-11-1] Done with creating chunked graph PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_appnp PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_c_and_s PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_gat INFO:root:Changing directory to /tmp/tmpt9fy00zd/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4483@7 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4483@7 /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpt9fy00zd/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpt9fy00zd/parted_data --input-dir /tmp/tmpt9fy00zd/chunked-data --graph-name mag240m --schema metadata.json --num-parts 11 --output /tmp/tmpt9fy00zd/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpt9fy00zd/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmpt9fy00zd/parted_data --input-dir /tmp/tmpt9fy00zd/chunked-data --graph-name mag240m --schema metadata.json --num-parts 11 --output /tmp/tmpt9fy00zd/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs [41798a58345e INFO 2023-01-08 06:07:33,950 PID:6243] Added key: store_based_barrier_key:1 to store for rank: 0 [41798a58345e INFO 2023-01-08 06:07:33,950 PID:6243] Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 1 nodes. [41798a58345e INFO 2023-01-08 06:07:33,951 PID:6243] [Rank: 0] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:07:33,951 PID:6243] [Rank: 0] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:07:33,952 PID:6243] [Rank: 0] Reading file: /tmp/tmpt9fy00zd/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:07:33,954 PID:6243] [Rank: 0] Reading file: /tmp/tmpt9fy00zd/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:07:33,955 PID:6243] [Rank: 0] Reading file: /tmp/tmpt9fy00zd/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:07:33,956 PID:6243] [Rank: 0] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:07:33,956 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:33,956 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:33,956 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:33,957 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:33,957 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:33,957 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:33,957 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:33,957 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:33,957 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:33,958 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:33,958 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:33,958 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:33,958 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:33,958 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:33,958 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:33,959 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:33,959 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:33,959 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:33,959 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:33,959 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:33,959 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:33,960 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/test_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:34,002 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,003 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:34,003 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,003 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:34,003 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,003 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:34,003 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,004 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:34,004 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,004 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:34,004 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,004 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:34,004 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,004 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:34,004 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,005 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:34,005 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,005 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:34,005 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,005 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:34,005 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,006 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/train_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:34,028 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,028 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:34,029 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,029 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:34,029 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,029 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:34,029 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,029 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:34,030 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,030 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:34,030 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,030 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:34,030 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,030 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:34,030 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,031 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:34,031 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,031 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:34,031 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,031 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:34,031 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,032 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/author/val_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:34,053 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,054 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:34,054 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,054 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:34,054 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,054 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:34,054 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,055 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:34,055 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,055 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:34,055 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,055 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:34,055 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,056 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:34,056 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,056 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:34,056 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,056 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:34,056 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,056 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:34,056 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,057 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/test_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:34,078 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,079 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:34,079 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,079 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:34,079 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,079 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:34,079 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,080 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:34,080 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,080 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:34,080 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,080 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:34,080 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,081 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:34,081 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,081 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:34,081 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,081 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:34,081 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,081 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:34,081 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,082 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/train_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:34,103 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,104 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:34,104 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,104 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:34,104 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,104 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:34,104 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,105 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:34,105 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,105 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:34,105 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,105 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:34,105 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,106 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:34,106 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,106 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:34,106 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,106 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:34,106 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,106 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:34,106 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,107 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/institution/val_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:34,128 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,129 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-0.npy [41798a58345e INFO 2023-01-08 06:07:34,129 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,129 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-1.npy [41798a58345e INFO 2023-01-08 06:07:34,129 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,129 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-2.npy [41798a58345e INFO 2023-01-08 06:07:34,129 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,130 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-3.npy [41798a58345e INFO 2023-01-08 06:07:34,130 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,130 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-4.npy [41798a58345e INFO 2023-01-08 06:07:34,130 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,130 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-5.npy [41798a58345e INFO 2023-01-08 06:07:34,130 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,131 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-6.npy [41798a58345e INFO 2023-01-08 06:07:34,131 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,131 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-7.npy [41798a58345e INFO 2023-01-08 06:07:34,131 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,131 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-8.npy [41798a58345e INFO 2023-01-08 06:07:34,131 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,131 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-9.npy [41798a58345e INFO 2023-01-08 06:07:34,131 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,132 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/feat-10.npy [41798a58345e INFO 2023-01-08 06:07:34,153 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,154 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-0.npy [41798a58345e INFO 2023-01-08 06:07:34,154 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,154 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-1.npy [41798a58345e INFO 2023-01-08 06:07:34,154 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,154 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-2.npy [41798a58345e INFO 2023-01-08 06:07:34,154 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,155 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-3.npy [41798a58345e INFO 2023-01-08 06:07:34,155 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,155 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-4.npy [41798a58345e INFO 2023-01-08 06:07:34,155 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,155 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-5.npy [41798a58345e INFO 2023-01-08 06:07:34,155 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,155 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-6.npy [41798a58345e INFO 2023-01-08 06:07:34,156 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,156 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-7.npy [41798a58345e INFO 2023-01-08 06:07:34,156 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,156 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-8.npy [41798a58345e INFO 2023-01-08 06:07:34,156 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,156 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-9.npy [41798a58345e INFO 2023-01-08 06:07:34,156 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,157 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/label-10.npy [41798a58345e INFO 2023-01-08 06:07:34,178 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,179 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:07:34,179 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,179 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:07:34,179 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,179 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:07:34,179 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,180 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:07:34,180 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,180 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-4.npy [41798a58345e INFO 2023-01-08 06:07:34,180 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,180 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-5.npy [41798a58345e INFO 2023-01-08 06:07:34,180 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,181 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-6.npy [41798a58345e INFO 2023-01-08 06:07:34,181 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,181 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-7.npy [41798a58345e INFO 2023-01-08 06:07:34,181 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,181 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-8.npy [41798a58345e INFO 2023-01-08 06:07:34,181 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,181 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-9.npy [41798a58345e INFO 2023-01-08 06:07:34,182 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,182 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/orig_ids-10.npy [41798a58345e INFO 2023-01-08 06:07:34,203 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,204 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:34,204 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,204 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:34,204 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,204 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:34,204 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,205 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:34,205 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,205 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:34,205 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,205 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:34,205 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,206 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:34,206 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,206 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:34,206 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,206 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:34,206 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,206 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:34,207 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,207 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/test_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:34,228 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,229 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:34,229 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,229 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:34,229 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,229 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:34,229 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,230 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:34,230 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,230 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:34,230 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,230 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:34,230 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,231 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:34,231 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,231 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:34,231 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,231 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:34,231 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,232 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:34,232 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,232 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/train_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:34,253 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,254 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:34,254 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,254 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:34,254 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,254 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:34,254 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,255 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:34,255 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,255 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:34,255 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,255 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:34,255 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,256 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:34,256 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,256 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:34,256 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,256 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:34,256 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,256 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:34,256 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,257 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/val_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:34,278 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,278 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-0.npy [41798a58345e INFO 2023-01-08 06:07:34,279 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,279 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-1.npy [41798a58345e INFO 2023-01-08 06:07:34,279 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,279 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-2.npy [41798a58345e INFO 2023-01-08 06:07:34,279 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,279 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-3.npy [41798a58345e INFO 2023-01-08 06:07:34,279 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,280 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-4.npy [41798a58345e INFO 2023-01-08 06:07:34,280 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,280 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-5.npy [41798a58345e INFO 2023-01-08 06:07:34,280 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,280 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-6.npy [41798a58345e INFO 2023-01-08 06:07:34,280 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,281 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-7.npy [41798a58345e INFO 2023-01-08 06:07:34,281 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,281 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-8.npy [41798a58345e INFO 2023-01-08 06:07:34,281 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,281 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-9.npy [41798a58345e INFO 2023-01-08 06:07:34,281 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,282 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/node_data/paper/year-10.npy [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/test_mask/0, feature data shape: torch.Size([110]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/test_mask/1, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/test_mask/2, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/test_mask/3, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/test_mask/4, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/test_mask/5, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/test_mask/6, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/test_mask/7, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/test_mask/8, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/test_mask/9, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/test_mask/10, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/train_mask/0, feature data shape: torch.Size([110]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/train_mask/1, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/train_mask/2, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/train_mask/3, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/train_mask/4, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/train_mask/5, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,303 PID:6243] [Rank: 0] node feature name: author/train_mask/6, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: author/train_mask/7, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: author/train_mask/8, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: author/train_mask/9, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: author/train_mask/10, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: author/val_mask/0, feature data shape: torch.Size([110]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: author/val_mask/1, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: author/val_mask/2, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: author/val_mask/3, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: author/val_mask/4, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: author/val_mask/5, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: author/val_mask/6, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: author/val_mask/7, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: author/val_mask/8, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: author/val_mask/9, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: author/val_mask/10, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/test_mask/0, feature data shape: torch.Size([110]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/test_mask/1, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/test_mask/2, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/test_mask/3, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/test_mask/4, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/test_mask/5, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/test_mask/6, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/test_mask/7, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/test_mask/8, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/test_mask/9, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/test_mask/10, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/train_mask/0, feature data shape: torch.Size([110]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/train_mask/1, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/train_mask/2, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/train_mask/3, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/train_mask/4, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/train_mask/5, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/train_mask/6, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/train_mask/7, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/train_mask/8, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/train_mask/9, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,304 PID:6243] [Rank: 0] node feature name: institution/train_mask/10, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: institution/val_mask/0, feature data shape: torch.Size([110]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: institution/val_mask/1, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: institution/val_mask/2, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: institution/val_mask/3, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: institution/val_mask/4, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: institution/val_mask/5, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: institution/val_mask/6, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: institution/val_mask/7, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: institution/val_mask/8, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: institution/val_mask/9, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: institution/val_mask/10, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/feat/0, feature data shape: torch.Size([110, 3]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/feat/1, feature data shape: torch.Size([109, 3]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/feat/2, feature data shape: torch.Size([109, 3]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/feat/3, feature data shape: torch.Size([109, 3]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/feat/4, feature data shape: torch.Size([109, 3]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/feat/5, feature data shape: torch.Size([109, 3]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/feat/6, feature data shape: torch.Size([109, 3]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/feat/7, feature data shape: torch.Size([109, 3]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/feat/8, feature data shape: torch.Size([109, 3]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/feat/9, feature data shape: torch.Size([109, 3]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/feat/10, feature data shape: torch.Size([109, 3]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/label/0, feature data shape: torch.Size([110]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/label/1, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/label/2, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/label/3, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/label/4, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/label/5, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/label/6, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/label/7, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/label/8, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/label/9, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/label/10, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/orig_ids/0, feature data shape: torch.Size([110]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/orig_ids/1, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,305 PID:6243] [Rank: 0] node feature name: paper/orig_ids/2, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/orig_ids/3, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/orig_ids/4, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/orig_ids/5, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/orig_ids/6, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/orig_ids/7, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/orig_ids/8, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/orig_ids/9, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/orig_ids/10, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/test_mask/0, feature data shape: torch.Size([110]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/test_mask/1, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/test_mask/2, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/test_mask/3, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/test_mask/4, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/test_mask/5, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/test_mask/6, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/test_mask/7, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/test_mask/8, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/test_mask/9, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/test_mask/10, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/train_mask/0, feature data shape: torch.Size([110]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/train_mask/1, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/train_mask/2, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/train_mask/3, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/train_mask/4, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/train_mask/5, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/train_mask/6, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/train_mask/7, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/train_mask/8, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/train_mask/9, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/train_mask/10, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/val_mask/0, feature data shape: torch.Size([110]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/val_mask/1, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/val_mask/2, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/val_mask/3, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/val_mask/4, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/val_mask/5, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/val_mask/6, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/val_mask/7, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/val_mask/8, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,306 PID:6243] [Rank: 0] node feature name: paper/val_mask/9, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,307 PID:6243] [Rank: 0] node feature name: paper/val_mask/10, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,307 PID:6243] [Rank: 0] node feature name: paper/year/0, feature data shape: torch.Size([110]) [41798a58345e INFO 2023-01-08 06:07:34,307 PID:6243] [Rank: 0] node feature name: paper/year/1, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,307 PID:6243] [Rank: 0] node feature name: paper/year/2, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,307 PID:6243] [Rank: 0] node feature name: paper/year/3, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,307 PID:6243] [Rank: 0] node feature name: paper/year/4, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,307 PID:6243] [Rank: 0] node feature name: paper/year/5, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,307 PID:6243] [Rank: 0] node feature name: paper/year/6, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,307 PID:6243] [Rank: 0] node feature name: paper/year/7, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,307 PID:6243] [Rank: 0] node feature name: paper/year/8, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,307 PID:6243] [Rank: 0] node feature name: paper/year/9, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,307 PID:6243] [Rank: 0] node feature name: paper/year/10, feature data shape: torch.Size([109]) [41798a58345e INFO 2023-01-08 06:07:34,307 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,307 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:07:34,307 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,308 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:07:34,308 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,308 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:07:34,308 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,308 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:07:34,308 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,309 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy [41798a58345e INFO 2023-01-08 06:07:34,309 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,309 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy [41798a58345e INFO 2023-01-08 06:07:34,309 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,309 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy [41798a58345e INFO 2023-01-08 06:07:34,309 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,310 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy [41798a58345e INFO 2023-01-08 06:07:34,310 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,310 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-8.npy [41798a58345e INFO 2023-01-08 06:07:34,310 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,310 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-9.npy [41798a58345e INFO 2023-01-08 06:07:34,310 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,311 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/orig_ids-10.npy [41798a58345e INFO 2023-01-08 06:07:34,332 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,333 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:34,333 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,333 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:34,333 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,333 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:34,333 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,334 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:34,334 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,334 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:34,334 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,334 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:34,334 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,335 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:34,335 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,335 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:34,335 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,335 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:34,335 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,335 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:34,335 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,336 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/test_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:34,357 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,357 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:34,357 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,358 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:34,358 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,358 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:34,358 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,358 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:34,358 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,359 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:34,359 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,359 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:34,359 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,359 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:34,359 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,360 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:34,360 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,360 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:34,360 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,360 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:34,360 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,361 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/train_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:34,382 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,382 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:34,382 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,383 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:34,383 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,383 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:34,383 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,383 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:34,383 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,384 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:34,384 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,384 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:34,384 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,384 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:34,384 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,385 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:34,385 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,385 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:34,385 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,385 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:34,385 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,385 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/val_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:34,407 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,407 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:07:34,407 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,408 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:07:34,408 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,408 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:07:34,408 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,408 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:07:34,408 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,409 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:07:34,409 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,409 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-5.npy [41798a58345e INFO 2023-01-08 06:07:34,409 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,409 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-6.npy [41798a58345e INFO 2023-01-08 06:07:34,409 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,409 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-7.npy [41798a58345e INFO 2023-01-08 06:07:34,410 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,410 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-8.npy [41798a58345e INFO 2023-01-08 06:07:34,410 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,410 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-9.npy [41798a58345e INFO 2023-01-08 06:07:34,410 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,410 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/author:writes:paper/year-10.npy [41798a58345e INFO 2023-01-08 06:07:34,432 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,432 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:07:34,432 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,433 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:07:34,433 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,433 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:07:34,433 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,433 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:07:34,433 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,434 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:07:34,434 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,434 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-5.npy [41798a58345e INFO 2023-01-08 06:07:34,434 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,434 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-6.npy [41798a58345e INFO 2023-01-08 06:07:34,434 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,435 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-7.npy [41798a58345e INFO 2023-01-08 06:07:34,435 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,435 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-8.npy [41798a58345e INFO 2023-01-08 06:07:34,435 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,435 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-9.npy [41798a58345e INFO 2023-01-08 06:07:34,435 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,435 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/institution:writes:paper/year-10.npy [41798a58345e INFO 2023-01-08 06:07:34,457 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,457 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-0.npy [41798a58345e INFO 2023-01-08 06:07:34,458 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,458 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-1.npy [41798a58345e INFO 2023-01-08 06:07:34,458 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,458 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-2.npy [41798a58345e INFO 2023-01-08 06:07:34,458 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,458 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-3.npy [41798a58345e INFO 2023-01-08 06:07:34,458 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,459 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-4.npy [41798a58345e INFO 2023-01-08 06:07:34,459 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,459 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-5.npy [41798a58345e INFO 2023-01-08 06:07:34,459 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,459 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-6.npy [41798a58345e INFO 2023-01-08 06:07:34,459 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,460 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-7.npy [41798a58345e INFO 2023-01-08 06:07:34,460 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,460 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-8.npy [41798a58345e INFO 2023-01-08 06:07:34,460 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,460 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-9.npy [41798a58345e INFO 2023-01-08 06:07:34,460 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,461 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:cites:paper/count-10.npy [41798a58345e INFO 2023-01-08 06:07:34,482 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,483 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [41798a58345e INFO 2023-01-08 06:07:34,483 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,483 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [41798a58345e INFO 2023-01-08 06:07:34,483 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,484 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [41798a58345e INFO 2023-01-08 06:07:34,484 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,484 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [41798a58345e INFO 2023-01-08 06:07:34,484 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,484 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-4.npy [41798a58345e INFO 2023-01-08 06:07:34,484 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,484 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-5.npy [41798a58345e INFO 2023-01-08 06:07:34,485 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,485 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-6.npy [41798a58345e INFO 2023-01-08 06:07:34,485 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,485 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-7.npy [41798a58345e INFO 2023-01-08 06:07:34,485 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,485 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-8.npy [41798a58345e INFO 2023-01-08 06:07:34,485 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,486 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-9.npy [41798a58345e INFO 2023-01-08 06:07:34,486 PID:6243] Reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:34,486 PID:6243] Done reading from /tmp/tmpt9fy00zd/chunked-data/edge_data/paper:rev_writes:author/year-10.npy [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/orig_ids/1, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/orig_ids/2, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/orig_ids/3, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/orig_ids/4, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/orig_ids/5, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/orig_ids/6, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/orig_ids/7, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/orig_ids/8, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/orig_ids/9, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/orig_ids/10, feature data shape: torch.Size([1090]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/test_mask/1, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/test_mask/2, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/test_mask/3, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/test_mask/4, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/test_mask/5, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/test_mask/6, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/test_mask/7, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/test_mask/8, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/test_mask/9, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/test_mask/10, feature data shape: torch.Size([1090]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/train_mask/1, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/train_mask/2, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/train_mask/3, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/train_mask/4, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/train_mask/5, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/train_mask/6, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,508 PID:6243] [Rank: 0] edge feature name: author:writes:paper/train_mask/7, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/train_mask/8, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/train_mask/9, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/train_mask/10, feature data shape: torch.Size([1090]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/val_mask/1, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/val_mask/2, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/val_mask/3, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/val_mask/4, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/val_mask/5, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/val_mask/6, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/val_mask/7, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/val_mask/8, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/val_mask/9, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/val_mask/10, feature data shape: torch.Size([1090]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/year/1, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/year/2, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/year/3, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/year/4, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/year/5, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/year/6, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/year/7, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/year/8, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/year/9, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: author:writes:paper/year/10, feature data shape: torch.Size([1090]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: institution:writes:paper/year/1, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: institution:writes:paper/year/2, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: institution:writes:paper/year/3, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: institution:writes:paper/year/4, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: institution:writes:paper/year/5, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: institution:writes:paper/year/6, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: institution:writes:paper/year/7, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: institution:writes:paper/year/8, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: institution:writes:paper/year/9, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: institution:writes:paper/year/10, feature data shape: torch.Size([1090]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([2182]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: paper:cites:paper/count/1, feature data shape: torch.Size([2182]) [41798a58345e INFO 2023-01-08 06:07:34,509 PID:6243] [Rank: 0] edge feature name: paper:cites:paper/count/2, feature data shape: torch.Size([2182]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:cites:paper/count/3, feature data shape: torch.Size([2182]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:cites:paper/count/4, feature data shape: torch.Size([2182]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:cites:paper/count/5, feature data shape: torch.Size([2182]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:cites:paper/count/6, feature data shape: torch.Size([2182]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:cites:paper/count/7, feature data shape: torch.Size([2182]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:cites:paper/count/8, feature data shape: torch.Size([2182]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:cites:paper/count/9, feature data shape: torch.Size([2181]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:cites:paper/count/10, feature data shape: torch.Size([2181]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:rev_writes:author/year/1, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:rev_writes:author/year/2, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:rev_writes:author/year/3, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:rev_writes:author/year/4, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:rev_writes:author/year/5, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:rev_writes:author/year/6, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:rev_writes:author/year/7, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:rev_writes:author/year/8, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:rev_writes:author/year/9, feature data shape: torch.Size([1091]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] [Rank: 0] edge feature name: paper:rev_writes:author/year/10, feature data shape: torch.Size([1090]) [41798a58345e INFO 2023-01-08 06:07:34,510 PID:6243] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:affiliated_with:institution0.txt [41798a58345e INFO 2023-01-08 06:07:34,511 PID:6243] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:affiliated_with:institution1.txt [41798a58345e INFO 2023-01-08 06:07:34,512 PID:6243] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:affiliated_with:institution2.txt [41798a58345e INFO 2023-01-08 06:07:34,513 PID:6243] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:affiliated_with:institution3.txt [41798a58345e INFO 2023-01-08 06:07:34,514 PID:6243] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:affiliated_with:institution4.txt [41798a58345e INFO 2023-01-08 06:07:34,515 PID:6243] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:affiliated_with:institution5.txt [41798a58345e INFO 2023-01-08 06:07:34,516 PID:6243] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:affiliated_with:institution6.txt [41798a58345e INFO 2023-01-08 06:07:34,517 PID:6243] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:affiliated_with:institution7.txt [41798a58345e INFO 2023-01-08 06:07:34,517 PID:6243] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:affiliated_with:institution8.txt [41798a58345e INFO 2023-01-08 06:07:34,518 PID:6243] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:affiliated_with:institution9.txt [41798a58345e INFO 2023-01-08 06:07:34,519 PID:6243] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:affiliated_with:institution10.txt [41798a58345e INFO 2023-01-08 06:07:34,520 PID:6243] Loading edges of etype[author:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:07:34,522 PID:6243] Loading edges of etype[author:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:07:34,523 PID:6243] Loading edges of etype[author:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:07:34,524 PID:6243] Loading edges of etype[author:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:07:34,525 PID:6243] Loading edges of etype[author:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:07:34,526 PID:6243] Loading edges of etype[author:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:07:34,527 PID:6243] Loading edges of etype[author:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:07:34,528 PID:6243] Loading edges of etype[author:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:07:34,530 PID:6243] Loading edges of etype[author:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:writes:paper8.txt [41798a58345e INFO 2023-01-08 06:07:34,531 PID:6243] Loading edges of etype[author:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:writes:paper9.txt [41798a58345e INFO 2023-01-08 06:07:34,532 PID:6243] Loading edges of etype[author:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/author:writes:paper10.txt [41798a58345e INFO 2023-01-08 06:07:34,533 PID:6243] Loading edges of etype[institution:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/institution:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:07:34,535 PID:6243] Loading edges of etype[institution:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/institution:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:07:34,536 PID:6243] Loading edges of etype[institution:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/institution:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:07:34,537 PID:6243] Loading edges of etype[institution:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/institution:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:07:34,539 PID:6243] Loading edges of etype[institution:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/institution:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:07:34,540 PID:6243] Loading edges of etype[institution:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/institution:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:07:34,541 PID:6243] Loading edges of etype[institution:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/institution:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:07:34,543 PID:6243] Loading edges of etype[institution:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/institution:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:07:34,544 PID:6243] Loading edges of etype[institution:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/institution:writes:paper8.txt [41798a58345e INFO 2023-01-08 06:07:34,545 PID:6243] Loading edges of etype[institution:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/institution:writes:paper9.txt [41798a58345e INFO 2023-01-08 06:07:34,546 PID:6243] Loading edges of etype[institution:writes:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/institution:writes:paper10.txt [41798a58345e INFO 2023-01-08 06:07:34,548 PID:6243] Loading edges of etype[paper:cites:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:cites:paper0.txt [41798a58345e INFO 2023-01-08 06:07:34,550 PID:6243] Loading edges of etype[paper:cites:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:cites:paper1.txt [41798a58345e INFO 2023-01-08 06:07:34,552 PID:6243] Loading edges of etype[paper:cites:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:cites:paper2.txt [41798a58345e INFO 2023-01-08 06:07:34,554 PID:6243] Loading edges of etype[paper:cites:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:cites:paper3.txt PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_hgnn [41798a58345e INFO 2023-01-08 06:07:34,555 PID:6243] Loading edges of etype[paper:cites:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:cites:paper4.txt [41798a58345e INFO 2023-01-08 06:07:34,557 PID:6243] Loading edges of etype[paper:cites:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:cites:paper5.txt [41798a58345e INFO 2023-01-08 06:07:34,559 PID:6243] Loading edges of etype[paper:cites:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:cites:paper6.txt [41798a58345e INFO 2023-01-08 06:07:34,561 PID:6243] Loading edges of etype[paper:cites:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:cites:paper7.txt [41798a58345e INFO 2023-01-08 06:07:34,562 PID:6243] Loading edges of etype[paper:cites:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:cites:paper8.txt [41798a58345e INFO 2023-01-08 06:07:34,564 PID:6243] Loading edges of etype[paper:cites:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:cites:paper9.txt [41798a58345e INFO 2023-01-08 06:07:34,566 PID:6243] Loading edges of etype[paper:cites:paper] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:cites:paper10.txt [41798a58345e INFO 2023-01-08 06:07:34,569 PID:6243] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:rev_writes:author0.txt [41798a58345e INFO 2023-01-08 06:07:34,571 PID:6243] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:rev_writes:author1.txt [41798a58345e INFO 2023-01-08 06:07:34,572 PID:6243] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:rev_writes:author2.txt [41798a58345e INFO 2023-01-08 06:07:34,574 PID:6243] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:rev_writes:author3.txt [41798a58345e INFO 2023-01-08 06:07:34,575 PID:6243] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:rev_writes:author4.txt [41798a58345e INFO 2023-01-08 06:07:34,576 PID:6243] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:rev_writes:author5.txt [41798a58345e INFO 2023-01-08 06:07:34,578 PID:6243] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:rev_writes:author6.txt [41798a58345e INFO 2023-01-08 06:07:34,579 PID:6243] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:rev_writes:author7.txt [41798a58345e INFO 2023-01-08 06:07:34,581 PID:6243] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:rev_writes:author8.txt [41798a58345e INFO 2023-01-08 06:07:34,582 PID:6243] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:rev_writes:author9.txt [41798a58345e INFO 2023-01-08 06:07:34,583 PID:6243] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpt9fy00zd/chunked-data/edge_index/paper:rev_writes:author10.txt [41798a58345e INFO 2023-01-08 06:07:34,586 PID:6243] [Rank: 0] Done reading edge_file: 4, (62400,) [41798a58345e INFO 2023-01-08 06:07:34,587 PID:6243] Rank: 0 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(0, 1091)], 'author:writes:paper/orig_ids/1': [(1091, 2182)], 'author:writes:paper/orig_ids/2': [(2182, 3273)], 'author:writes:paper/orig_ids/3': [(3273, 4364)], 'author:writes:paper/orig_ids/4': [(4364, 5455)], 'author:writes:paper/orig_ids/5': [(5455, 6546)], 'author:writes:paper/orig_ids/6': [(6546, 7637)], 'author:writes:paper/orig_ids/7': [(7637, 8728)], 'author:writes:paper/orig_ids/8': [(8728, 9819)], 'author:writes:paper/orig_ids/9': [(9819, 10910)], 'author:writes:paper/orig_ids/10': [(10910, 12000)], 'author:writes:paper/test_mask/0': [(0, 1091)], 'author:writes:paper/test_mask/1': [(1091, 2182)], 'author:writes:paper/test_mask/2': [(2182, 3273)], 'author:writes:paper/test_mask/3': [(3273, 4364)], 'author:writes:paper/test_mask/4': [(4364, 5455)], 'author:writes:paper/test_mask/5': [(5455, 6546)], 'author:writes:paper/test_mask/6': [(6546, 7637)], 'author:writes:paper/test_mask/7': [(7637, 8728)], 'author:writes:paper/test_mask/8': [(8728, 9819)], 'author:writes:paper/test_mask/9': [(9819, 10910)], 'author:writes:paper/test_mask/10': [(10910, 12000)], 'author:writes:paper/train_mask/0': [(0, 1091)], 'author:writes:paper/train_mask/1': [(1091, 2182)], 'author:writes:paper/train_mask/2': [(2182, 3273)], 'author:writes:paper/train_mask/3': [(3273, 4364)], 'author:writes:paper/train_mask/4': [(4364, 5455)], 'author:writes:paper/train_mask/5': [(5455, 6546)], 'author:writes:paper/train_mask/6': [(6546, 7637)], 'author:writes:paper/train_mask/7': [(7637, 8728)], 'author:writes:paper/train_mask/8': [(8728, 9819)], 'author:writes:paper/train_mask/9': [(9819, 10910)], 'author:writes:paper/train_mask/10': [(10910, 12000)], 'author:writes:paper/val_mask/0': [(0, 1091)], 'author:writes:paper/val_mask/1': [(1091, 2182)], 'author:writes:paper/val_mask/2': [(2182, 3273)], 'author:writes:paper/val_mask/3': [(3273, 4364)], 'author:writes:paper/val_mask/4': [(4364, 5455)], 'author:writes:paper/val_mask/5': [(5455, 6546)], 'author:writes:paper/val_mask/6': [(6546, 7637)], 'author:writes:paper/val_mask/7': [(7637, 8728)], 'author:writes:paper/val_mask/8': [(8728, 9819)], 'author:writes:paper/val_mask/9': [(9819, 10910)], 'author:writes:paper/val_mask/10': [(10910, 12000)], 'author:writes:paper/year/0': [(0, 1091)], 'author:writes:paper/year/1': [(1091, 2182)], 'author:writes:paper/year/2': [(2182, 3273)], 'author:writes:paper/year/3': [(3273, 4364)], 'author:writes:paper/year/4': [(4364, 5455)], 'author:writes:paper/year/5': [(5455, 6546)], 'author:writes:paper/year/6': [(6546, 7637)], 'author:writes:paper/year/7': [(7637, 8728)], 'author:writes:paper/year/8': [(8728, 9819)], 'author:writes:paper/year/9': [(9819, 10910)], 'author:writes:paper/year/10': [(10910, 12000)], 'institution:writes:paper/year/0': [(0, 1091)], 'institution:writes:paper/year/1': [(1091, 2182)], 'institution:writes:paper/year/2': [(2182, 3273)], 'institution:writes:paper/year/3': [(3273, 4364)], 'institution:writes:paper/year/4': [(4364, 5455)], 'institution:writes:paper/year/5': [(5455, 6546)], 'institution:writes:paper/year/6': [(6546, 7637)], 'institution:writes:paper/year/7': [(7637, 8728)], 'institution:writes:paper/year/8': [(8728, 9819)], 'institution:writes:paper/year/9': [(9819, 10910)], 'institution:writes:paper/year/10': [(10910, 12000)], 'paper:cites:paper/count/0': [(0, 2182)], 'paper:cites:paper/count/1': [(2182, 4364)], 'paper:cites:paper/count/2': [(4364, 6546)], 'paper:cites:paper/count/3': [(6546, 8728)], 'paper:cites:paper/count/4': [(8728, 10910)], 'paper:cites:paper/count/5': [(10910, 13092)], 'paper:cites:paper/count/6': [(13092, 15274)], 'paper:cites:paper/count/7': [(15274, 17456)], 'paper:cites:paper/count/8': [(17456, 19638)], 'paper:cites:paper/count/9': [(19638, 21819)], 'paper:cites:paper/count/10': [(21819, 24000)], 'paper:rev_writes:author/year/0': [(0, 1091)], 'paper:rev_writes:author/year/1': [(1091, 2182)], 'paper:rev_writes:author/year/2': [(2182, 3273)], 'paper:rev_writes:author/year/3': [(3273, 4364)], 'paper:rev_writes:author/year/4': [(4364, 5455)], 'paper:rev_writes:author/year/5': [(5455, 6546)], 'paper:rev_writes:author/year/6': [(6546, 7637)], 'paper:rev_writes:author/year/7': [(7637, 8728)], 'paper:rev_writes:author/year/8': [(8728, 9819)], 'paper:rev_writes:author/year/9': [(9819, 10910)], 'paper:rev_writes:author/year/10': [(10910, 12000)]} [41798a58345e INFO 2023-01-08 06:07:34,587 PID:6243] [Rank: 0] Done reading dataset /tmp/tmpt9fy00zd/chunked-data [41798a58345e INFO 2023-01-08 06:07:34,623 PID:6243] [Rank: 0] Done augmenting edge_data: 6, (62400,) [41798a58345e INFO 2023-01-08 06:07:34,623 PID:6243] [Rank: 0] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:07:34,624 PID:6243] [Rank: 0] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:34,638 PID:6243] [Rank: 0] processing feature: author/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:34,648 PID:6243] [Rank: 0] processing feature: author/test_mask/2 [41798a58345e INFO 2023-01-08 06:07:34,659 PID:6243] [Rank: 0] processing feature: author/test_mask/3 [41798a58345e INFO 2023-01-08 06:07:34,669 PID:6243] [Rank: 0] processing feature: author/test_mask/4 [41798a58345e INFO 2023-01-08 06:07:34,679 PID:6243] [Rank: 0] processing feature: author/test_mask/5 [41798a58345e INFO 2023-01-08 06:07:34,690 PID:6243] [Rank: 0] processing feature: author/test_mask/6 [41798a58345e INFO 2023-01-08 06:07:34,700 PID:6243] [Rank: 0] processing feature: author/test_mask/7 [41798a58345e INFO 2023-01-08 06:07:34,710 PID:6243] [Rank: 0] processing feature: author/test_mask/8 [41798a58345e INFO 2023-01-08 06:07:34,721 PID:6243] [Rank: 0] processing feature: author/test_mask/9 [41798a58345e INFO 2023-01-08 06:07:34,731 PID:6243] [Rank: 0] processing feature: author/test_mask/10 [41798a58345e INFO 2023-01-08 06:07:34,741 PID:6243] [Rank: 0] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:34,752 PID:6243] [Rank: 0] processing feature: author/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:34,762 PID:6243] [Rank: 0] processing feature: author/train_mask/2 [41798a58345e INFO 2023-01-08 06:07:34,772 PID:6243] [Rank: 0] processing feature: author/train_mask/3 [41798a58345e INFO 2023-01-08 06:07:34,783 PID:6243] [Rank: 0] processing feature: author/train_mask/4 [41798a58345e INFO 2023-01-08 06:07:34,793 PID:6243] [Rank: 0] processing feature: author/train_mask/5 [41798a58345e INFO 2023-01-08 06:07:34,803 PID:6243] [Rank: 0] processing feature: author/train_mask/6 [41798a58345e INFO 2023-01-08 06:07:34,814 PID:6243] [Rank: 0] processing feature: author/train_mask/7 [41798a58345e INFO 2023-01-08 06:07:34,824 PID:6243] [Rank: 0] processing feature: author/train_mask/8 [41798a58345e INFO 2023-01-08 06:07:34,834 PID:6243] [Rank: 0] processing feature: author/train_mask/9 [41798a58345e INFO 2023-01-08 06:07:34,845 PID:6243] [Rank: 0] processing feature: author/train_mask/10 [41798a58345e INFO 2023-01-08 06:07:34,855 PID:6243] [Rank: 0] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:34,865 PID:6243] [Rank: 0] processing feature: author/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:34,876 PID:6243] [Rank: 0] processing feature: author/val_mask/2 [41798a58345e INFO 2023-01-08 06:07:34,886 PID:6243] [Rank: 0] processing feature: author/val_mask/3 [41798a58345e INFO 2023-01-08 06:07:34,896 PID:6243] [Rank: 0] processing feature: author/val_mask/4 [41798a58345e INFO 2023-01-08 06:07:34,907 PID:6243] [Rank: 0] processing feature: author/val_mask/5 [41798a58345e INFO 2023-01-08 06:07:34,917 PID:6243] [Rank: 0] processing feature: author/val_mask/6 [41798a58345e INFO 2023-01-08 06:07:34,927 PID:6243] [Rank: 0] processing feature: author/val_mask/7 [41798a58345e INFO 2023-01-08 06:07:34,938 PID:6243] [Rank: 0] processing feature: author/val_mask/8 [41798a58345e INFO 2023-01-08 06:07:34,948 PID:6243] [Rank: 0] processing feature: author/val_mask/9 [41798a58345e INFO 2023-01-08 06:07:34,958 PID:6243] [Rank: 0] processing feature: author/val_mask/10 [41798a58345e INFO 2023-01-08 06:07:34,969 PID:6243] [Rank: 0] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:34,979 PID:6243] [Rank: 0] processing feature: institution/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:34,990 PID:6243] [Rank: 0] processing feature: institution/test_mask/2 [41798a58345e INFO 2023-01-08 06:07:35,000 PID:6243] [Rank: 0] processing feature: institution/test_mask/3 [41798a58345e INFO 2023-01-08 06:07:35,010 PID:6243] [Rank: 0] processing feature: institution/test_mask/4 [41798a58345e INFO 2023-01-08 06:07:35,021 PID:6243] [Rank: 0] processing feature: institution/test_mask/5 [41798a58345e INFO 2023-01-08 06:07:35,031 PID:6243] [Rank: 0] processing feature: institution/test_mask/6 [41798a58345e INFO 2023-01-08 06:07:35,042 PID:6243] [Rank: 0] processing feature: institution/test_mask/7 [41798a58345e INFO 2023-01-08 06:07:35,052 PID:6243] [Rank: 0] processing feature: institution/test_mask/8 [41798a58345e INFO 2023-01-08 06:07:35,062 PID:6243] [Rank: 0] processing feature: institution/test_mask/9 [41798a58345e INFO 2023-01-08 06:07:35,073 PID:6243] [Rank: 0] processing feature: institution/test_mask/10 [41798a58345e INFO 2023-01-08 06:07:35,083 PID:6243] [Rank: 0] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:35,093 PID:6243] [Rank: 0] processing feature: institution/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:35,103 PID:6243] [Rank: 0] processing feature: institution/train_mask/2 [41798a58345e INFO 2023-01-08 06:07:35,114 PID:6243] [Rank: 0] processing feature: institution/train_mask/3 [41798a58345e INFO 2023-01-08 06:07:35,124 PID:6243] [Rank: 0] processing feature: institution/train_mask/4 [41798a58345e INFO 2023-01-08 06:07:35,134 PID:6243] [Rank: 0] processing feature: institution/train_mask/5 [41798a58345e INFO 2023-01-08 06:07:35,145 PID:6243] [Rank: 0] processing feature: institution/train_mask/6 [41798a58345e INFO 2023-01-08 06:07:35,155 PID:6243] [Rank: 0] processing feature: institution/train_mask/7 [41798a58345e INFO 2023-01-08 06:07:35,165 PID:6243] [Rank: 0] processing feature: institution/train_mask/8 [41798a58345e INFO 2023-01-08 06:07:35,176 PID:6243] [Rank: 0] processing feature: institution/train_mask/9 [41798a58345e INFO 2023-01-08 06:07:35,186 PID:6243] [Rank: 0] processing feature: institution/train_mask/10 [41798a58345e INFO 2023-01-08 06:07:35,197 PID:6243] [Rank: 0] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:35,207 PID:6243] [Rank: 0] processing feature: institution/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:35,217 PID:6243] [Rank: 0] processing feature: institution/val_mask/2 [41798a58345e INFO 2023-01-08 06:07:35,227 PID:6243] [Rank: 0] processing feature: institution/val_mask/3 [41798a58345e INFO 2023-01-08 06:07:35,238 PID:6243] [Rank: 0] processing feature: institution/val_mask/4 [41798a58345e INFO 2023-01-08 06:07:35,248 PID:6243] [Rank: 0] processing feature: institution/val_mask/5 [41798a58345e INFO 2023-01-08 06:07:35,258 PID:6243] [Rank: 0] processing feature: institution/val_mask/6 [41798a58345e INFO 2023-01-08 06:07:35,270 PID:6243] [Rank: 0] processing feature: institution/val_mask/7 [41798a58345e INFO 2023-01-08 06:07:35,280 PID:6243] [Rank: 0] processing feature: institution/val_mask/8 [41798a58345e INFO 2023-01-08 06:07:35,290 PID:6243] [Rank: 0] processing feature: institution/val_mask/9 [41798a58345e INFO 2023-01-08 06:07:35,300 PID:6243] [Rank: 0] processing feature: institution/val_mask/10 [41798a58345e INFO 2023-01-08 06:07:35,309 PID:6243] [Rank: 0] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:07:35,319 PID:6243] [Rank: 0] processing feature: paper/feat/1 [41798a58345e INFO 2023-01-08 06:07:35,329 PID:6243] [Rank: 0] processing feature: paper/feat/2 [41798a58345e INFO 2023-01-08 06:07:35,338 PID:6243] [Rank: 0] processing feature: paper/feat/3 [41798a58345e INFO 2023-01-08 06:07:35,348 PID:6243] [Rank: 0] processing feature: paper/feat/4 [41798a58345e INFO 2023-01-08 06:07:35,358 PID:6243] [Rank: 0] processing feature: paper/feat/5 [41798a58345e INFO 2023-01-08 06:07:35,367 PID:6243] [Rank: 0] processing feature: paper/feat/6 [41798a58345e INFO 2023-01-08 06:07:35,377 PID:6243] [Rank: 0] processing feature: paper/feat/7 [41798a58345e INFO 2023-01-08 06:07:35,387 PID:6243] [Rank: 0] processing feature: paper/feat/8 [41798a58345e INFO 2023-01-08 06:07:35,396 PID:6243] [Rank: 0] processing feature: paper/feat/9 [41798a58345e INFO 2023-01-08 06:07:35,406 PID:6243] [Rank: 0] processing feature: paper/feat/10 [41798a58345e INFO 2023-01-08 06:07:35,416 PID:6243] [Rank: 0] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:07:35,425 PID:6243] [Rank: 0] processing feature: paper/label/1 [41798a58345e INFO 2023-01-08 06:07:35,435 PID:6243] [Rank: 0] processing feature: paper/label/2 [41798a58345e INFO 2023-01-08 06:07:35,444 PID:6243] [Rank: 0] processing feature: paper/label/3 [41798a58345e INFO 2023-01-08 06:07:35,454 PID:6243] [Rank: 0] processing feature: paper/label/4 [41798a58345e INFO 2023-01-08 06:07:35,463 PID:6243] [Rank: 0] processing feature: paper/label/5 [41798a58345e INFO 2023-01-08 06:07:35,473 PID:6243] [Rank: 0] processing feature: paper/label/6 [41798a58345e INFO 2023-01-08 06:07:35,483 PID:6243] [Rank: 0] processing feature: paper/label/7 [41798a58345e INFO 2023-01-08 06:07:35,492 PID:6243] [Rank: 0] processing feature: paper/label/8 [41798a58345e INFO 2023-01-08 06:07:35,502 PID:6243] [Rank: 0] processing feature: paper/label/9 [41798a58345e INFO 2023-01-08 06:07:35,511 PID:6243] [Rank: 0] processing feature: paper/label/10 [41798a58345e INFO 2023-01-08 06:07:35,521 PID:6243] [Rank: 0] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:35,531 PID:6243] [Rank: 0] processing feature: paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:07:35,540 PID:6243] [Rank: 0] processing feature: paper/orig_ids/2 [41798a58345e INFO 2023-01-08 06:07:35,550 PID:6243] [Rank: 0] processing feature: paper/orig_ids/3 [41798a58345e INFO 2023-01-08 06:07:35,559 PID:6243] [Rank: 0] processing feature: paper/orig_ids/4 [41798a58345e INFO 2023-01-08 06:07:35,569 PID:6243] [Rank: 0] processing feature: paper/orig_ids/5 [41798a58345e INFO 2023-01-08 06:07:35,579 PID:6243] [Rank: 0] processing feature: paper/orig_ids/6 [41798a58345e INFO 2023-01-08 06:07:35,588 PID:6243] [Rank: 0] processing feature: paper/orig_ids/7 [41798a58345e INFO 2023-01-08 06:07:35,598 PID:6243] [Rank: 0] processing feature: paper/orig_ids/8 [41798a58345e INFO 2023-01-08 06:07:35,612 PID:6243] [Rank: 0] processing feature: paper/orig_ids/9 [41798a58345e INFO 2023-01-08 06:07:35,622 PID:6243] [Rank: 0] processing feature: paper/orig_ids/10 [41798a58345e INFO 2023-01-08 06:07:35,632 PID:6243] [Rank: 0] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:35,642 PID:6243] [Rank: 0] processing feature: paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:35,652 PID:6243] [Rank: 0] processing feature: paper/test_mask/2 [41798a58345e INFO 2023-01-08 06:07:35,661 PID:6243] [Rank: 0] processing feature: paper/test_mask/3 [41798a58345e INFO 2023-01-08 06:07:35,671 PID:6243] [Rank: 0] processing feature: paper/test_mask/4 [41798a58345e INFO 2023-01-08 06:07:35,681 PID:6243] [Rank: 0] processing feature: paper/test_mask/5 [41798a58345e INFO 2023-01-08 06:07:35,691 PID:6243] [Rank: 0] processing feature: paper/test_mask/6 [41798a58345e INFO 2023-01-08 06:07:35,716 PID:6243] [Rank: 0] processing feature: paper/test_mask/7 [41798a58345e INFO 2023-01-08 06:07:35,731 PID:6243] [Rank: 0] processing feature: paper/test_mask/8 [41798a58345e INFO 2023-01-08 06:07:35,741 PID:6243] [Rank: 0] processing feature: paper/test_mask/9 [41798a58345e INFO 2023-01-08 06:07:35,750 PID:6243] [Rank: 0] processing feature: paper/test_mask/10 [41798a58345e INFO 2023-01-08 06:07:35,759 PID:6243] [Rank: 0] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:35,769 PID:6243] [Rank: 0] processing feature: paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:35,778 PID:6243] [Rank: 0] processing feature: paper/train_mask/2 [41798a58345e INFO 2023-01-08 06:07:35,787 PID:6243] [Rank: 0] processing feature: paper/train_mask/3 [41798a58345e INFO 2023-01-08 06:07:35,796 PID:6243] [Rank: 0] processing feature: paper/train_mask/4 [41798a58345e INFO 2023-01-08 06:07:35,805 PID:6243] [Rank: 0] processing feature: paper/train_mask/5 [41798a58345e INFO 2023-01-08 06:07:35,814 PID:6243] [Rank: 0] processing feature: paper/train_mask/6 [41798a58345e INFO 2023-01-08 06:07:35,823 PID:6243] [Rank: 0] processing feature: paper/train_mask/7 [41798a58345e INFO 2023-01-08 06:07:35,832 PID:6243] [Rank: 0] processing feature: paper/train_mask/8 [41798a58345e INFO 2023-01-08 06:07:35,841 PID:6243] [Rank: 0] processing feature: paper/train_mask/9 [41798a58345e INFO 2023-01-08 06:07:35,851 PID:6243] [Rank: 0] processing feature: paper/train_mask/10 [41798a58345e INFO 2023-01-08 06:07:35,860 PID:6243] [Rank: 0] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:35,869 PID:6243] [Rank: 0] processing feature: paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:35,878 PID:6243] [Rank: 0] processing feature: paper/val_mask/2 [41798a58345e INFO 2023-01-08 06:07:35,887 PID:6243] [Rank: 0] processing feature: paper/val_mask/3 [41798a58345e INFO 2023-01-08 06:07:35,896 PID:6243] [Rank: 0] processing feature: paper/val_mask/4 [41798a58345e INFO 2023-01-08 06:07:35,905 PID:6243] [Rank: 0] processing feature: paper/val_mask/5 [41798a58345e INFO 2023-01-08 06:07:35,914 PID:6243] [Rank: 0] processing feature: paper/val_mask/6 [41798a58345e INFO 2023-01-08 06:07:35,923 PID:6243] [Rank: 0] processing feature: paper/val_mask/7 [41798a58345e INFO 2023-01-08 06:07:35,932 PID:6243] [Rank: 0] processing feature: paper/val_mask/8 [41798a58345e INFO 2023-01-08 06:07:35,942 PID:6243] [Rank: 0] processing feature: paper/val_mask/9 [41798a58345e INFO 2023-01-08 06:07:35,951 PID:6243] [Rank: 0] processing feature: paper/val_mask/10 [41798a58345e INFO 2023-01-08 06:07:35,960 PID:6243] [Rank: 0] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:07:35,969 PID:6243] [Rank: 0] processing feature: paper/year/1 [41798a58345e INFO 2023-01-08 06:07:35,978 PID:6243] [Rank: 0] processing feature: paper/year/2 [41798a58345e INFO 2023-01-08 06:07:35,987 PID:6243] [Rank: 0] processing feature: paper/year/3 [41798a58345e INFO 2023-01-08 06:07:35,996 PID:6243] [Rank: 0] processing feature: paper/year/4 [41798a58345e INFO 2023-01-08 06:07:36,005 PID:6243] [Rank: 0] processing feature: paper/year/5 [41798a58345e INFO 2023-01-08 06:07:36,014 PID:6243] [Rank: 0] processing feature: paper/year/6 [41798a58345e INFO 2023-01-08 06:07:36,023 PID:6243] [Rank: 0] processing feature: paper/year/7 [41798a58345e INFO 2023-01-08 06:07:36,032 PID:6243] [Rank: 0] processing feature: paper/year/8 [41798a58345e INFO 2023-01-08 06:07:36,041 PID:6243] [Rank: 0] processing feature: paper/year/9 [41798a58345e INFO 2023-01-08 06:07:36,050 PID:6243] [Rank: 0] processing feature: paper/year/10 [41798a58345e INFO 2023-01-08 06:07:36,059 PID:6243] [Rank: 0] Total time for feature exchange: 0:00:01.434263 [41798a58345e INFO 2023-01-08 06:07:36,059 PID:6243] [Rank: 0] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:07:36,059 PID:6243] [Rank: 0] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:36,084 PID:6243] [Rank: 0] processing feature: author:writes:paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:07:36,102 PID:6243] [Rank: 0] processing feature: author:writes:paper/orig_ids/2 [41798a58345e INFO 2023-01-08 06:07:36,120 PID:6243] [Rank: 0] processing feature: author:writes:paper/orig_ids/3 [41798a58345e INFO 2023-01-08 06:07:36,137 PID:6243] [Rank: 0] processing feature: author:writes:paper/orig_ids/4 [41798a58345e INFO 2023-01-08 06:07:36,155 PID:6243] [Rank: 0] processing feature: author:writes:paper/orig_ids/5 [41798a58345e INFO 2023-01-08 06:07:36,173 PID:6243] [Rank: 0] processing feature: author:writes:paper/orig_ids/6 [41798a58345e INFO 2023-01-08 06:07:36,190 PID:6243] [Rank: 0] processing feature: author:writes:paper/orig_ids/7 [41798a58345e INFO 2023-01-08 06:07:36,208 PID:6243] [Rank: 0] processing feature: author:writes:paper/orig_ids/8 [41798a58345e INFO 2023-01-08 06:07:36,225 PID:6243] [Rank: 0] processing feature: author:writes:paper/orig_ids/9 [41798a58345e INFO 2023-01-08 06:07:36,243 PID:6243] [Rank: 0] processing feature: author:writes:paper/orig_ids/10 [41798a58345e INFO 2023-01-08 06:07:36,260 PID:6243] [Rank: 0] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:36,278 PID:6243] [Rank: 0] processing feature: author:writes:paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:36,296 PID:6243] [Rank: 0] processing feature: author:writes:paper/test_mask/2 [41798a58345e INFO 2023-01-08 06:07:36,313 PID:6243] [Rank: 0] processing feature: author:writes:paper/test_mask/3 [41798a58345e INFO 2023-01-08 06:07:36,331 PID:6243] [Rank: 0] processing feature: author:writes:paper/test_mask/4 [41798a58345e INFO 2023-01-08 06:07:36,348 PID:6243] [Rank: 0] processing feature: author:writes:paper/test_mask/5 [41798a58345e INFO 2023-01-08 06:07:36,366 PID:6243] [Rank: 0] processing feature: author:writes:paper/test_mask/6 [41798a58345e INFO 2023-01-08 06:07:36,383 PID:6243] [Rank: 0] processing feature: author:writes:paper/test_mask/7 [41798a58345e INFO 2023-01-08 06:07:36,401 PID:6243] [Rank: 0] processing feature: author:writes:paper/test_mask/8 [41798a58345e INFO 2023-01-08 06:07:36,418 PID:6243] [Rank: 0] processing feature: author:writes:paper/test_mask/9 [41798a58345e INFO 2023-01-08 06:07:36,436 PID:6243] [Rank: 0] processing feature: author:writes:paper/test_mask/10 [41798a58345e INFO 2023-01-08 06:07:36,454 PID:6243] [Rank: 0] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:36,471 PID:6243] [Rank: 0] processing feature: author:writes:paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:36,489 PID:6243] [Rank: 0] processing feature: author:writes:paper/train_mask/2 [41798a58345e INFO 2023-01-08 06:07:36,510 PID:6243] [Rank: 0] processing feature: author:writes:paper/train_mask/3 [41798a58345e INFO 2023-01-08 06:07:36,528 PID:6243] [Rank: 0] processing feature: author:writes:paper/train_mask/4 [41798a58345e INFO 2023-01-08 06:07:36,546 PID:6243] [Rank: 0] processing feature: author:writes:paper/train_mask/5 [41798a58345e INFO 2023-01-08 06:07:36,564 PID:6243] [Rank: 0] processing feature: author:writes:paper/train_mask/6 [41798a58345e INFO 2023-01-08 06:07:36,582 PID:6243] [Rank: 0] processing feature: author:writes:paper/train_mask/7 [41798a58345e INFO 2023-01-08 06:07:36,600 PID:6243] [Rank: 0] processing feature: author:writes:paper/train_mask/8 [41798a58345e INFO 2023-01-08 06:07:36,618 PID:6243] [Rank: 0] processing feature: author:writes:paper/train_mask/9 [41798a58345e INFO 2023-01-08 06:07:36,636 PID:6243] [Rank: 0] processing feature: author:writes:paper/train_mask/10 [41798a58345e INFO 2023-01-08 06:07:36,654 PID:6243] [Rank: 0] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:36,672 PID:6243] [Rank: 0] processing feature: author:writes:paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:36,690 PID:6243] [Rank: 0] processing feature: author:writes:paper/val_mask/2 [41798a58345e INFO 2023-01-08 06:07:36,708 PID:6243] [Rank: 0] processing feature: author:writes:paper/val_mask/3 [41798a58345e INFO 2023-01-08 06:07:36,725 PID:6243] [Rank: 0] processing feature: author:writes:paper/val_mask/4 [41798a58345e INFO 2023-01-08 06:07:36,743 PID:6243] [Rank: 0] processing feature: author:writes:paper/val_mask/5 [41798a58345e INFO 2023-01-08 06:07:36,761 PID:6243] [Rank: 0] processing feature: author:writes:paper/val_mask/6 [41798a58345e INFO 2023-01-08 06:07:36,779 PID:6243] [Rank: 0] processing feature: author:writes:paper/val_mask/7 [41798a58345e INFO 2023-01-08 06:07:36,797 PID:6243] [Rank: 0] processing feature: author:writes:paper/val_mask/8 [41798a58345e INFO 2023-01-08 06:07:36,814 PID:6243] [Rank: 0] processing feature: author:writes:paper/val_mask/9 [41798a58345e INFO 2023-01-08 06:07:36,832 PID:6243] [Rank: 0] processing feature: author:writes:paper/val_mask/10 [41798a58345e INFO 2023-01-08 06:07:36,850 PID:6243] [Rank: 0] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:36,868 PID:6243] [Rank: 0] processing feature: author:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:07:36,886 PID:6243] [Rank: 0] processing feature: author:writes:paper/year/2 [41798a58345e INFO 2023-01-08 06:07:36,904 PID:6243] [Rank: 0] processing feature: author:writes:paper/year/3 [41798a58345e INFO 2023-01-08 06:07:36,921 PID:6243] [Rank: 0] processing feature: author:writes:paper/year/4 [41798a58345e INFO 2023-01-08 06:07:36,939 PID:6243] [Rank: 0] processing feature: author:writes:paper/year/5 [41798a58345e INFO 2023-01-08 06:07:36,957 PID:6243] [Rank: 0] processing feature: author:writes:paper/year/6 [41798a58345e INFO 2023-01-08 06:07:36,975 PID:6243] [Rank: 0] processing feature: author:writes:paper/year/7 [41798a58345e INFO 2023-01-08 06:07:36,992 PID:6243] [Rank: 0] processing feature: author:writes:paper/year/8 [41798a58345e INFO 2023-01-08 06:07:37,010 PID:6243] [Rank: 0] processing feature: author:writes:paper/year/9 [41798a58345e INFO 2023-01-08 06:07:37,028 PID:6243] [Rank: 0] processing feature: author:writes:paper/year/10 [41798a58345e INFO 2023-01-08 06:07:37,045 PID:6243] [Rank: 0] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:37,063 PID:6243] [Rank: 0] processing feature: institution:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:07:37,081 PID:6243] [Rank: 0] processing feature: institution:writes:paper/year/2 [41798a58345e INFO 2023-01-08 06:07:37,099 PID:6243] [Rank: 0] processing feature: institution:writes:paper/year/3 [41798a58345e INFO 2023-01-08 06:07:37,116 PID:6243] [Rank: 0] processing feature: institution:writes:paper/year/4 [41798a58345e INFO 2023-01-08 06:07:37,134 PID:6243] [Rank: 0] processing feature: institution:writes:paper/year/5 [41798a58345e INFO 2023-01-08 06:07:37,152 PID:6243] [Rank: 0] processing feature: institution:writes:paper/year/6 [41798a58345e INFO 2023-01-08 06:07:37,169 PID:6243] [Rank: 0] processing feature: institution:writes:paper/year/7 [41798a58345e INFO 2023-01-08 06:07:37,187 PID:6243] [Rank: 0] processing feature: institution:writes:paper/year/8 [41798a58345e INFO 2023-01-08 06:07:37,205 PID:6243] [Rank: 0] processing feature: institution:writes:paper/year/9 [41798a58345e INFO 2023-01-08 06:07:37,222 PID:6243] [Rank: 0] processing feature: institution:writes:paper/year/10 [41798a58345e INFO 2023-01-08 06:07:37,240 PID:6243] [Rank: 0] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:07:37,259 PID:6243] [Rank: 0] processing feature: paper:cites:paper/count/1 [41798a58345e INFO 2023-01-08 06:07:37,277 PID:6243] [Rank: 0] processing feature: paper:cites:paper/count/2 [41798a58345e INFO 2023-01-08 06:07:37,296 PID:6243] [Rank: 0] processing feature: paper:cites:paper/count/3 [41798a58345e INFO 2023-01-08 06:07:37,315 PID:6243] [Rank: 0] processing feature: paper:cites:paper/count/4 [41798a58345e INFO 2023-01-08 06:07:37,333 PID:6243] [Rank: 0] processing feature: paper:cites:paper/count/5 [41798a58345e INFO 2023-01-08 06:07:37,352 PID:6243] [Rank: 0] processing feature: paper:cites:paper/count/6 [41798a58345e INFO 2023-01-08 06:07:37,370 PID:6243] [Rank: 0] processing feature: paper:cites:paper/count/7 [41798a58345e INFO 2023-01-08 06:07:37,389 PID:6243] [Rank: 0] processing feature: paper:cites:paper/count/8 [41798a58345e INFO 2023-01-08 06:07:37,409 PID:6243] [Rank: 0] processing feature: paper:cites:paper/count/9 [41798a58345e INFO 2023-01-08 06:07:37,429 PID:6243] [Rank: 0] processing feature: paper:cites:paper/count/10 [41798a58345e INFO 2023-01-08 06:07:37,447 PID:6243] [Rank: 0] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:07:37,464 PID:6243] [Rank: 0] processing feature: paper:rev_writes:author/year/1 [41798a58345e INFO 2023-01-08 06:07:37,482 PID:6243] [Rank: 0] processing feature: paper:rev_writes:author/year/2 [41798a58345e INFO 2023-01-08 06:07:37,499 PID:6243] [Rank: 0] processing feature: paper:rev_writes:author/year/3 [41798a58345e INFO 2023-01-08 06:07:37,516 PID:6243] [Rank: 0] processing feature: paper:rev_writes:author/year/4 [41798a58345e INFO 2023-01-08 06:07:37,533 PID:6243] [Rank: 0] processing feature: paper:rev_writes:author/year/5 [41798a58345e INFO 2023-01-08 06:07:37,550 PID:6243] [Rank: 0] processing feature: paper:rev_writes:author/year/6 [41798a58345e INFO 2023-01-08 06:07:37,568 PID:6243] [Rank: 0] processing feature: paper:rev_writes:author/year/7 [41798a58345e INFO 2023-01-08 06:07:37,585 PID:6243] [Rank: 0] processing feature: paper:rev_writes:author/year/8 [41798a58345e INFO 2023-01-08 06:07:37,602 PID:6243] [Rank: 0] processing feature: paper:rev_writes:author/year/9 [41798a58345e INFO 2023-01-08 06:07:37,620 PID:6243] [Rank: 0] processing feature: paper:rev_writes:author/year/10 [41798a58345e INFO 2023-01-08 06:07:37,638 PID:6243] [Rank: 0] Total time for feature exchange: 0:00:01.578159 [41798a58345e INFO 2023-01-08 06:07:37,638 PID:6243] [Rank: 0] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:07:37,661 PID:6243] [Rank: 0] Time to send/rcv edge data: 0:00:00.020160 [41798a58345e INFO 2023-01-08 06:07:37,711 PID:6243] [Rank: 0] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:07:37,745 PID:6243] [Rank: 0] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:07:37,746 PID:6243] [Rank: 0] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:07:37,789 PID:6243] [Rank: 0] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:07:37,843 PID:6243] [Rank: 0] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:07:38,114 PID:6243] There are 5047 edges in partition 0 [41798a58345e INFO 2023-01-08 06:07:38,392 PID:6243] There are 5754 edges in partition 1 [41798a58345e INFO 2023-01-08 06:07:38,668 PID:6243] There are 5763 edges in partition 2 [41798a58345e INFO 2023-01-08 06:07:38,937 PID:6243] There are 6443 edges in partition 3 [41798a58345e INFO 2023-01-08 06:07:39,200 PID:6243] There are 5649 edges in partition 4 [41798a58345e INFO 2023-01-08 06:07:39,470 PID:6243] There are 5577 edges in partition 5 [41798a58345e INFO 2023-01-08 06:07:39,740 PID:6243] There are 5184 edges in partition 6 [41798a58345e INFO 2023-01-08 06:07:40,000 PID:6243] There are 5713 edges in partition 7 [41798a58345e INFO 2023-01-08 06:07:40,215 PID:6243] There are 5840 edges in partition 8 [41798a58345e INFO 2023-01-08 06:07:40,383 PID:6243] There are 5666 edges in partition 9 [41798a58345e INFO 2023-01-08 06:07:40,561 PID:6243] There are 5764 edges in partition 10 [41798a58345e INFO 2023-01-08 06:07:40,568 PID:6243] [Rank: 0] Time to create dgl objects: 0:00:02.725248 [41798a58345e INFO 2023-01-08 06:07:40,568 PID:6243] [Rank: 0] Total execution time of the program: 0:00:06.617915 [41798a58345e INFO 2023-01-08 06:07:40,569 PID:6243] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! [Rank: 1 Edge data is already sorted !!! [Rank: 2 Edge data is already sorted !!! [Rank: 3 Edge data is already sorted !!! [Rank: 4 Edge data is already sorted !!! [Rank: 5 Edge data is already sorted !!! [Rank: 6 Edge data is already sorted !!! [Rank: 7 Edge data is already sorted !!! [Rank: 8 Edge data is already sorted !!! [Rank: 9 Edge data is already sorted !!! [Rank: 10 Edge data is already sorted !!! PASSED [ 61%] tests/tools/test_dist_part.py::test_pipeline_basics[11-4-1] Done with creating chunked graph INFO:root:Changing directory to /tmp/tmp2t6wg44k/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4483@7 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4483@7 /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp2t6wg44k/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmp2t6wg44k/parted_data --input-dir /tmp/tmp2t6wg44k/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp2t6wg44k/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp2t6wg44k/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 1 --partitions-dir /tmp/tmp2t6wg44k/parted_data --input-dir /tmp/tmp2t6wg44k/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp2t6wg44k/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs [41798a58345e INFO 2023-01-08 06:07:45,045 PID:6418] Added key: store_based_barrier_key:1 to store for rank: 0 [41798a58345e INFO 2023-01-08 06:07:45,045 PID:6418] Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 1 nodes. [41798a58345e INFO 2023-01-08 06:07:45,045 PID:6418] [Rank: 0] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:07:45,045 PID:6418] [Rank: 0] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:07:45,046 PID:6418] [Rank: 0] Reading file: /tmp/tmp2t6wg44k/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:07:45,048 PID:6418] [Rank: 0] Reading file: /tmp/tmp2t6wg44k/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:07:45,049 PID:6418] [Rank: 0] Reading file: /tmp/tmp2t6wg44k/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:07:45,049 PID:6418] [Rank: 0] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:07:45,049 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,050 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:45,050 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,050 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:45,051 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,051 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:45,051 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,051 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:45,051 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,051 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:45,051 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,052 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:45,052 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,052 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:45,052 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,052 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:45,052 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,053 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:45,053 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,053 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:45,053 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,053 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/test_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:45,108 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,108 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:45,108 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,109 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:45,109 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,109 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:45,109 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,109 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:45,109 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,110 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:45,110 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,110 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:45,110 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,110 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:45,110 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,110 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:45,111 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,111 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:45,111 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,111 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:45,111 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,111 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/train_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:45,148 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,148 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:45,148 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,149 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:45,149 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,149 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:45,149 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,149 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:45,149 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,150 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:45,150 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,150 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:45,150 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,150 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:45,150 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,151 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:45,151 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,151 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:45,151 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,151 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:45,151 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,151 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/author/val_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:45,186 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,187 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:45,187 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,187 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:45,187 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,188 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:45,188 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,188 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:45,188 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,188 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:45,188 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,188 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:45,188 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,189 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:45,189 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,189 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:45,189 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,189 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:45,189 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,190 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:45,190 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,190 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/test_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:45,224 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,225 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:45,225 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,225 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:45,225 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,225 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:45,225 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,226 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:45,226 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,226 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:45,226 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,226 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:45,226 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,226 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:45,227 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,227 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:45,227 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,227 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:45,227 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,227 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:45,227 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,228 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/train_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:45,262 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,263 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:45,263 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,263 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:45,263 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,263 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:45,263 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,264 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:45,264 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,264 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:45,264 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,264 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:45,264 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,265 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:45,265 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,265 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:45,265 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,265 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:45,265 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,265 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:45,265 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,266 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/institution/val_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:45,300 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,301 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-0.npy [41798a58345e INFO 2023-01-08 06:07:45,301 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,301 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-1.npy [41798a58345e INFO 2023-01-08 06:07:45,301 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,301 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-2.npy [41798a58345e INFO 2023-01-08 06:07:45,301 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,302 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-3.npy [41798a58345e INFO 2023-01-08 06:07:45,302 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,302 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-4.npy [41798a58345e INFO 2023-01-08 06:07:45,302 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,302 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-5.npy [41798a58345e INFO 2023-01-08 06:07:45,302 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,303 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-6.npy [41798a58345e INFO 2023-01-08 06:07:45,303 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,303 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-7.npy [41798a58345e INFO 2023-01-08 06:07:45,303 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,303 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-8.npy [41798a58345e INFO 2023-01-08 06:07:45,303 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,304 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-9.npy [41798a58345e INFO 2023-01-08 06:07:45,304 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,304 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/feat-10.npy [41798a58345e INFO 2023-01-08 06:07:45,337 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,338 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-0.npy [41798a58345e INFO 2023-01-08 06:07:45,338 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,338 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-1.npy [41798a58345e INFO 2023-01-08 06:07:45,338 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,339 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-2.npy [41798a58345e INFO 2023-01-08 06:07:45,339 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,339 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-3.npy [41798a58345e INFO 2023-01-08 06:07:45,339 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,339 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-4.npy [41798a58345e INFO 2023-01-08 06:07:45,339 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,340 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-5.npy [41798a58345e INFO 2023-01-08 06:07:45,340 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,340 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-6.npy [41798a58345e INFO 2023-01-08 06:07:45,340 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,340 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-7.npy [41798a58345e INFO 2023-01-08 06:07:45,340 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,341 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-8.npy [41798a58345e INFO 2023-01-08 06:07:45,341 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,341 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-9.npy [41798a58345e INFO 2023-01-08 06:07:45,341 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,341 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/label-10.npy [41798a58345e INFO 2023-01-08 06:07:45,374 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,375 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:07:45,375 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,375 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:07:45,375 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,376 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:07:45,376 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,376 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:07:45,376 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,376 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-4.npy [41798a58345e INFO 2023-01-08 06:07:45,376 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,377 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-5.npy [41798a58345e INFO 2023-01-08 06:07:45,377 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,377 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-6.npy [41798a58345e INFO 2023-01-08 06:07:45,377 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,377 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-7.npy [41798a58345e INFO 2023-01-08 06:07:45,377 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,378 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-8.npy [41798a58345e INFO 2023-01-08 06:07:45,378 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,378 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-9.npy [41798a58345e INFO 2023-01-08 06:07:45,378 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,378 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/orig_ids-10.npy [41798a58345e INFO 2023-01-08 06:07:45,413 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,414 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:45,414 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,414 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:45,414 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,414 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:45,414 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,415 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:45,415 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,415 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:45,415 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,415 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:45,415 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,416 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:45,416 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,416 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:45,416 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,416 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:45,416 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,416 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:45,417 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,417 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/test_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:45,451 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,452 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:45,452 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,452 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:45,452 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,453 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:45,453 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,453 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:45,453 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,453 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:45,453 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,454 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:45,454 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,454 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:45,454 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,454 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:45,454 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,454 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:45,455 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,455 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:45,455 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,455 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/train_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:45,490 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,490 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:45,490 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,491 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:45,491 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,491 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:45,491 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,491 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:45,491 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,492 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:45,492 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,492 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:45,492 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,492 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:45,492 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,493 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:45,493 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,493 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:45,493 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,493 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:45,493 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,494 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/val_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:45,528 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,529 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-0.npy [41798a58345e INFO 2023-01-08 06:07:45,529 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,529 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-1.npy [41798a58345e INFO 2023-01-08 06:07:45,530 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,530 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-2.npy [41798a58345e INFO 2023-01-08 06:07:45,530 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,530 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-3.npy [41798a58345e INFO 2023-01-08 06:07:45,530 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,530 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-4.npy [41798a58345e INFO 2023-01-08 06:07:45,530 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,531 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-5.npy [41798a58345e INFO 2023-01-08 06:07:45,531 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,531 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-6.npy [41798a58345e INFO 2023-01-08 06:07:45,531 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,531 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-7.npy [41798a58345e INFO 2023-01-08 06:07:45,531 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,532 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-8.npy [41798a58345e INFO 2023-01-08 06:07:45,532 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,532 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-9.npy [41798a58345e INFO 2023-01-08 06:07:45,532 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,532 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/node_data/paper/year-10.npy [41798a58345e INFO 2023-01-08 06:07:45,582 PID:6418] [Rank: 0] node feature name: author/test_mask/0, feature data shape: torch.Size([328]) [41798a58345e INFO 2023-01-08 06:07:45,582 PID:6418] [Rank: 0] node feature name: author/test_mask/1, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,582 PID:6418] [Rank: 0] node feature name: author/test_mask/2, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,582 PID:6418] [Rank: 0] node feature name: author/test_mask/3, feature data shape: torch.Size([218]) [41798a58345e INFO 2023-01-08 06:07:45,582 PID:6418] [Rank: 0] node feature name: author/train_mask/0, feature data shape: torch.Size([328]) [41798a58345e INFO 2023-01-08 06:07:45,582 PID:6418] [Rank: 0] node feature name: author/train_mask/1, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,582 PID:6418] [Rank: 0] node feature name: author/train_mask/2, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,582 PID:6418] [Rank: 0] node feature name: author/train_mask/3, feature data shape: torch.Size([218]) [41798a58345e INFO 2023-01-08 06:07:45,582 PID:6418] [Rank: 0] node feature name: author/val_mask/0, feature data shape: torch.Size([328]) [41798a58345e INFO 2023-01-08 06:07:45,582 PID:6418] [Rank: 0] node feature name: author/val_mask/1, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,582 PID:6418] [Rank: 0] node feature name: author/val_mask/2, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: author/val_mask/3, feature data shape: torch.Size([218]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: institution/test_mask/0, feature data shape: torch.Size([328]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: institution/test_mask/1, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: institution/test_mask/2, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: institution/test_mask/3, feature data shape: torch.Size([218]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: institution/train_mask/0, feature data shape: torch.Size([328]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: institution/train_mask/1, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: institution/train_mask/2, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: institution/train_mask/3, feature data shape: torch.Size([218]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: institution/val_mask/0, feature data shape: torch.Size([328]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: institution/val_mask/1, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: institution/val_mask/2, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: institution/val_mask/3, feature data shape: torch.Size([218]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/feat/0, feature data shape: torch.Size([328, 3]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/feat/1, feature data shape: torch.Size([327, 3]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/feat/2, feature data shape: torch.Size([327, 3]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/feat/3, feature data shape: torch.Size([218, 3]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/label/0, feature data shape: torch.Size([328]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/label/1, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/label/2, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/label/3, feature data shape: torch.Size([218]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/orig_ids/0, feature data shape: torch.Size([328]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/orig_ids/1, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/orig_ids/2, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/orig_ids/3, feature data shape: torch.Size([218]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/test_mask/0, feature data shape: torch.Size([328]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/test_mask/1, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/test_mask/2, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/test_mask/3, feature data shape: torch.Size([218]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/train_mask/0, feature data shape: torch.Size([328]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/train_mask/1, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/train_mask/2, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/train_mask/3, feature data shape: torch.Size([218]) [41798a58345e INFO 2023-01-08 06:07:45,583 PID:6418] [Rank: 0] node feature name: paper/val_mask/0, feature data shape: torch.Size([328]) [41798a58345e INFO 2023-01-08 06:07:45,584 PID:6418] [Rank: 0] node feature name: paper/val_mask/1, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,584 PID:6418] [Rank: 0] node feature name: paper/val_mask/2, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,584 PID:6418] [Rank: 0] node feature name: paper/val_mask/3, feature data shape: torch.Size([218]) [41798a58345e INFO 2023-01-08 06:07:45,584 PID:6418] [Rank: 0] node feature name: paper/year/0, feature data shape: torch.Size([328]) [41798a58345e INFO 2023-01-08 06:07:45,584 PID:6418] [Rank: 0] node feature name: paper/year/1, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,584 PID:6418] [Rank: 0] node feature name: paper/year/2, feature data shape: torch.Size([327]) [41798a58345e INFO 2023-01-08 06:07:45,584 PID:6418] [Rank: 0] node feature name: paper/year/3, feature data shape: torch.Size([218]) [41798a58345e INFO 2023-01-08 06:07:45,584 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,584 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:07:45,584 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,585 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:07:45,585 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,585 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:07:45,585 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,585 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:07:45,586 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,586 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy [41798a58345e INFO 2023-01-08 06:07:45,586 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,586 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy [41798a58345e INFO 2023-01-08 06:07:45,586 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,586 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy [41798a58345e INFO 2023-01-08 06:07:45,586 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,587 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy [41798a58345e INFO 2023-01-08 06:07:45,587 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,587 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-8.npy [41798a58345e INFO 2023-01-08 06:07:45,587 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,587 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-9.npy [41798a58345e INFO 2023-01-08 06:07:45,587 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,588 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/orig_ids-10.npy [41798a58345e INFO 2023-01-08 06:07:45,611 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,612 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:45,612 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,612 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:45,612 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,613 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:45,613 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,613 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:45,613 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,613 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:45,613 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,613 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:45,614 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,614 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:45,614 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,614 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:45,614 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,614 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:45,614 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,615 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:45,615 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,615 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/test_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:45,637 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,637 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:45,637 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,638 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:45,638 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,638 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:45,638 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,638 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:45,638 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,639 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:45,639 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,639 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:45,639 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,639 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:45,639 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,639 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:45,640 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,640 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:45,640 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,640 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:45,640 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,640 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/train_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:45,662 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,663 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:45,663 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,663 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:45,663 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,663 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:45,663 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,664 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:45,664 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,664 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:07:45,664 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,664 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:07:45,664 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,664 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:07:45,664 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,665 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:07:45,665 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,665 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:07:45,665 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,665 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-9.npy [41798a58345e INFO 2023-01-08 06:07:45,665 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,666 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/val_mask-10.npy [41798a58345e INFO 2023-01-08 06:07:45,687 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,688 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:07:45,688 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,688 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:07:45,688 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,688 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:07:45,688 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,689 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:07:45,689 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,689 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:07:45,689 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,689 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-5.npy [41798a58345e INFO 2023-01-08 06:07:45,689 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,690 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-6.npy [41798a58345e INFO 2023-01-08 06:07:45,690 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,690 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-7.npy [41798a58345e INFO 2023-01-08 06:07:45,690 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,690 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-8.npy [41798a58345e INFO 2023-01-08 06:07:45,690 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,690 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-9.npy [41798a58345e INFO 2023-01-08 06:07:45,690 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,691 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/author:writes:paper/year-10.npy [41798a58345e INFO 2023-01-08 06:07:45,713 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,713 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:07:45,713 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,713 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:07:45,713 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,714 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:07:45,714 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,714 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:07:45,714 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,714 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:07:45,714 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,715 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-5.npy [41798a58345e INFO 2023-01-08 06:07:45,715 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,715 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-6.npy [41798a58345e INFO 2023-01-08 06:07:45,715 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,715 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-7.npy [41798a58345e INFO 2023-01-08 06:07:45,715 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,715 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-8.npy [41798a58345e INFO 2023-01-08 06:07:45,715 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,716 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-9.npy [41798a58345e INFO 2023-01-08 06:07:45,716 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,716 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/institution:writes:paper/year-10.npy [41798a58345e INFO 2023-01-08 06:07:45,738 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,738 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-0.npy [41798a58345e INFO 2023-01-08 06:07:45,738 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,739 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-1.npy [41798a58345e INFO 2023-01-08 06:07:45,739 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,739 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-2.npy [41798a58345e INFO 2023-01-08 06:07:45,739 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,739 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-3.npy [41798a58345e INFO 2023-01-08 06:07:45,739 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,740 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-4.npy [41798a58345e INFO 2023-01-08 06:07:45,740 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,740 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-5.npy [41798a58345e INFO 2023-01-08 06:07:45,740 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,740 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-6.npy [41798a58345e INFO 2023-01-08 06:07:45,740 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,741 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-7.npy [41798a58345e INFO 2023-01-08 06:07:45,741 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,741 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-8.npy [41798a58345e INFO 2023-01-08 06:07:45,741 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,741 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-9.npy [41798a58345e INFO 2023-01-08 06:07:45,741 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,742 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:cites:paper/count-10.npy [41798a58345e INFO 2023-01-08 06:07:45,764 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,764 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [41798a58345e INFO 2023-01-08 06:07:45,764 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,764 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [41798a58345e INFO 2023-01-08 06:07:45,764 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,765 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [41798a58345e INFO 2023-01-08 06:07:45,765 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,765 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [41798a58345e INFO 2023-01-08 06:07:45,765 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,765 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-4.npy [41798a58345e INFO 2023-01-08 06:07:45,765 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,766 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-5.npy [41798a58345e INFO 2023-01-08 06:07:45,766 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,766 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-6.npy [41798a58345e INFO 2023-01-08 06:07:45,766 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,766 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-7.npy [41798a58345e INFO 2023-01-08 06:07:45,766 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,766 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-8.npy [41798a58345e INFO 2023-01-08 06:07:45,767 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,767 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-9.npy [41798a58345e INFO 2023-01-08 06:07:45,767 PID:6418] Reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:45,767 PID:6418] Done reading from /tmp/tmp2t6wg44k/chunked-data/edge_data/paper:rev_writes:author/year-10.npy [41798a58345e INFO 2023-01-08 06:07:45,788 PID:6418] [Rank: 0] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/orig_ids/1, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/orig_ids/2, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/orig_ids/3, feature data shape: torch.Size([2181]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/test_mask/1, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/test_mask/2, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/test_mask/3, feature data shape: torch.Size([2181]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/train_mask/1, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/train_mask/2, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/train_mask/3, feature data shape: torch.Size([2181]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/val_mask/1, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/val_mask/2, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/val_mask/3, feature data shape: torch.Size([2181]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/year/1, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/year/2, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: author:writes:paper/year/3, feature data shape: torch.Size([2181]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: institution:writes:paper/year/1, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: institution:writes:paper/year/2, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: institution:writes:paper/year/3, feature data shape: torch.Size([2181]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6546]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: paper:cites:paper/count/1, feature data shape: torch.Size([6546]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: paper:cites:paper/count/2, feature data shape: torch.Size([6546]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: paper:cites:paper/count/3, feature data shape: torch.Size([4362]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: paper:rev_writes:author/year/1, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: paper:rev_writes:author/year/2, feature data shape: torch.Size([3273]) [41798a58345e INFO 2023-01-08 06:07:45,789 PID:6418] [Rank: 0] edge feature name: paper:rev_writes:author/year/3, feature data shape: torch.Size([2181]) [41798a58345e INFO 2023-01-08 06:07:45,790 PID:6418] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:affiliated_with:institution0.txt [41798a58345e INFO 2023-01-08 06:07:45,791 PID:6418] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:affiliated_with:institution1.txt [41798a58345e INFO 2023-01-08 06:07:45,792 PID:6418] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:affiliated_with:institution2.txt [41798a58345e INFO 2023-01-08 06:07:45,793 PID:6418] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:affiliated_with:institution3.txt [41798a58345e INFO 2023-01-08 06:07:45,793 PID:6418] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:affiliated_with:institution4.txt [41798a58345e INFO 2023-01-08 06:07:45,794 PID:6418] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:affiliated_with:institution5.txt [41798a58345e INFO 2023-01-08 06:07:45,795 PID:6418] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:affiliated_with:institution6.txt [41798a58345e INFO 2023-01-08 06:07:45,795 PID:6418] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:affiliated_with:institution7.txt [41798a58345e INFO 2023-01-08 06:07:45,796 PID:6418] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:affiliated_with:institution8.txt [41798a58345e INFO 2023-01-08 06:07:45,797 PID:6418] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:affiliated_with:institution9.txt [41798a58345e INFO 2023-01-08 06:07:45,797 PID:6418] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:affiliated_with:institution10.txt [41798a58345e INFO 2023-01-08 06:07:45,798 PID:6418] Loading edges of etype[author:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:07:45,799 PID:6418] Loading edges of etype[author:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:07:45,800 PID:6418] Loading edges of etype[author:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:07:45,801 PID:6418] Loading edges of etype[author:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:07:45,802 PID:6418] Loading edges of etype[author:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:07:45,803 PID:6418] Loading edges of etype[author:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:07:45,804 PID:6418] Loading edges of etype[author:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:07:45,805 PID:6418] Loading edges of etype[author:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:07:45,806 PID:6418] Loading edges of etype[author:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:writes:paper8.txt [41798a58345e INFO 2023-01-08 06:07:45,807 PID:6418] Loading edges of etype[author:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:writes:paper9.txt [41798a58345e INFO 2023-01-08 06:07:45,807 PID:6418] Loading edges of etype[author:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/author:writes:paper10.txt [41798a58345e INFO 2023-01-08 06:07:45,809 PID:6418] Loading edges of etype[institution:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/institution:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:07:45,810 PID:6418] Loading edges of etype[institution:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/institution:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:07:45,811 PID:6418] Loading edges of etype[institution:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/institution:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:07:45,811 PID:6418] Loading edges of etype[institution:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/institution:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:07:45,812 PID:6418] Loading edges of etype[institution:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/institution:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:07:45,813 PID:6418] Loading edges of etype[institution:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/institution:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:07:45,814 PID:6418] Loading edges of etype[institution:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/institution:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:07:45,815 PID:6418] Loading edges of etype[institution:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/institution:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:07:45,816 PID:6418] Loading edges of etype[institution:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/institution:writes:paper8.txt [41798a58345e INFO 2023-01-08 06:07:45,817 PID:6418] Loading edges of etype[institution:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/institution:writes:paper9.txt [41798a58345e INFO 2023-01-08 06:07:45,818 PID:6418] Loading edges of etype[institution:writes:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/institution:writes:paper10.txt [41798a58345e INFO 2023-01-08 06:07:45,819 PID:6418] Loading edges of etype[paper:cites:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:cites:paper0.txt [41798a58345e INFO 2023-01-08 06:07:45,820 PID:6418] Loading edges of etype[paper:cites:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:cites:paper1.txt [41798a58345e INFO 2023-01-08 06:07:45,821 PID:6418] Loading edges of etype[paper:cites:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:cites:paper2.txt [41798a58345e INFO 2023-01-08 06:07:45,822 PID:6418] Loading edges of etype[paper:cites:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:cites:paper3.txt [41798a58345e INFO 2023-01-08 06:07:45,823 PID:6418] Loading edges of etype[paper:cites:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:cites:paper4.txt [41798a58345e INFO 2023-01-08 06:07:45,824 PID:6418] Loading edges of etype[paper:cites:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:cites:paper5.txt [41798a58345e INFO 2023-01-08 06:07:45,825 PID:6418] Loading edges of etype[paper:cites:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:cites:paper6.txt [41798a58345e INFO 2023-01-08 06:07:45,826 PID:6418] Loading edges of etype[paper:cites:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:cites:paper7.txt [41798a58345e INFO 2023-01-08 06:07:45,827 PID:6418] Loading edges of etype[paper:cites:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:cites:paper8.txt [41798a58345e INFO 2023-01-08 06:07:45,829 PID:6418] Loading edges of etype[paper:cites:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:cites:paper9.txt [41798a58345e INFO 2023-01-08 06:07:45,830 PID:6418] Loading edges of etype[paper:cites:paper] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:cites:paper10.txt [41798a58345e INFO 2023-01-08 06:07:45,831 PID:6418] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:rev_writes:author0.txt [41798a58345e INFO 2023-01-08 06:07:45,832 PID:6418] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:rev_writes:author1.txt [41798a58345e INFO 2023-01-08 06:07:45,833 PID:6418] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:rev_writes:author2.txt [41798a58345e INFO 2023-01-08 06:07:45,834 PID:6418] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:rev_writes:author3.txt [41798a58345e INFO 2023-01-08 06:07:45,835 PID:6418] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:rev_writes:author4.txt [41798a58345e INFO 2023-01-08 06:07:45,836 PID:6418] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:rev_writes:author5.txt [41798a58345e INFO 2023-01-08 06:07:45,837 PID:6418] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:rev_writes:author6.txt [41798a58345e INFO 2023-01-08 06:07:45,838 PID:6418] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:rev_writes:author7.txt [41798a58345e INFO 2023-01-08 06:07:45,839 PID:6418] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:rev_writes:author8.txt [41798a58345e INFO 2023-01-08 06:07:45,840 PID:6418] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:rev_writes:author9.txt [41798a58345e INFO 2023-01-08 06:07:45,840 PID:6418] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2t6wg44k/chunked-data/edge_index/paper:rev_writes:author10.txt [41798a58345e INFO 2023-01-08 06:07:45,842 PID:6418] [Rank: 0] Done reading edge_file: 4, (62400,) [41798a58345e INFO 2023-01-08 06:07:45,842 PID:6418] Rank: 0 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(0, 3273)], 'author:writes:paper/orig_ids/1': [(3273, 6546)], 'author:writes:paper/orig_ids/2': [(6546, 9819)], 'author:writes:paper/orig_ids/3': [(9819, 12000)], 'author:writes:paper/test_mask/0': [(0, 3273)], 'author:writes:paper/test_mask/1': [(3273, 6546)], 'author:writes:paper/test_mask/2': [(6546, 9819)], 'author:writes:paper/test_mask/3': [(9819, 12000)], 'author:writes:paper/train_mask/0': [(0, 3273)], 'author:writes:paper/train_mask/1': [(3273, 6546)], 'author:writes:paper/train_mask/2': [(6546, 9819)], 'author:writes:paper/train_mask/3': [(9819, 12000)], 'author:writes:paper/val_mask/0': [(0, 3273)], 'author:writes:paper/val_mask/1': [(3273, 6546)], 'author:writes:paper/val_mask/2': [(6546, 9819)], 'author:writes:paper/val_mask/3': [(9819, 12000)], 'author:writes:paper/year/0': [(0, 3273)], 'author:writes:paper/year/1': [(3273, 6546)], 'author:writes:paper/year/2': [(6546, 9819)], 'author:writes:paper/year/3': [(9819, 12000)], 'institution:writes:paper/year/0': [(0, 3273)], 'institution:writes:paper/year/1': [(3273, 6546)], 'institution:writes:paper/year/2': [(6546, 9819)], 'institution:writes:paper/year/3': [(9819, 12000)], 'paper:cites:paper/count/0': [(0, 6546)], 'paper:cites:paper/count/1': [(6546, 13092)], 'paper:cites:paper/count/2': [(13092, 19638)], 'paper:cites:paper/count/3': [(19638, 24000)], 'paper:rev_writes:author/year/0': [(0, 3273)], 'paper:rev_writes:author/year/1': [(3273, 6546)], 'paper:rev_writes:author/year/2': [(6546, 9819)], 'paper:rev_writes:author/year/3': [(9819, 12000)]} [41798a58345e INFO 2023-01-08 06:07:45,843 PID:6418] [Rank: 0] Done reading dataset /tmp/tmp2t6wg44k/chunked-data [41798a58345e INFO 2023-01-08 06:07:45,876 PID:6418] [Rank: 0] Done augmenting edge_data: 6, (62400,) [41798a58345e INFO 2023-01-08 06:07:45,876 PID:6418] [Rank: 0] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:07:45,877 PID:6418] [Rank: 0] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:45,886 PID:6418] [Rank: 0] processing feature: author/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:45,892 PID:6418] [Rank: 0] processing feature: author/test_mask/2 [41798a58345e INFO 2023-01-08 06:07:45,898 PID:6418] [Rank: 0] processing feature: author/test_mask/3 [41798a58345e INFO 2023-01-08 06:07:45,903 PID:6418] [Rank: 0] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:45,908 PID:6418] [Rank: 0] processing feature: author/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:45,911 PID:6418] [Rank: 0] processing feature: author/train_mask/2 [41798a58345e INFO 2023-01-08 06:07:45,915 PID:6418] [Rank: 0] processing feature: author/train_mask/3 [41798a58345e INFO 2023-01-08 06:07:45,919 PID:6418] [Rank: 0] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:45,923 PID:6418] [Rank: 0] processing feature: author/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:45,927 PID:6418] [Rank: 0] processing feature: author/val_mask/2 [41798a58345e INFO 2023-01-08 06:07:45,930 PID:6418] [Rank: 0] processing feature: author/val_mask/3 [41798a58345e INFO 2023-01-08 06:07:45,934 PID:6418] [Rank: 0] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:45,938 PID:6418] [Rank: 0] processing feature: institution/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:45,942 PID:6418] [Rank: 0] processing feature: institution/test_mask/2 [41798a58345e INFO 2023-01-08 06:07:45,946 PID:6418] [Rank: 0] processing feature: institution/test_mask/3 [41798a58345e INFO 2023-01-08 06:07:45,949 PID:6418] [Rank: 0] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:45,953 PID:6418] [Rank: 0] processing feature: institution/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:45,957 PID:6418] [Rank: 0] processing feature: institution/train_mask/2 [41798a58345e INFO 2023-01-08 06:07:45,961 PID:6418] [Rank: 0] processing feature: institution/train_mask/3 [41798a58345e INFO 2023-01-08 06:07:45,964 PID:6418] [Rank: 0] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:45,968 PID:6418] [Rank: 0] processing feature: institution/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:45,972 PID:6418] [Rank: 0] processing feature: institution/val_mask/2 [41798a58345e INFO 2023-01-08 06:07:45,976 PID:6418] [Rank: 0] processing feature: institution/val_mask/3 [41798a58345e INFO 2023-01-08 06:07:45,980 PID:6418] [Rank: 0] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:07:45,983 PID:6418] [Rank: 0] processing feature: paper/feat/1 [41798a58345e INFO 2023-01-08 06:07:45,987 PID:6418] [Rank: 0] processing feature: paper/feat/2 [41798a58345e INFO 2023-01-08 06:07:45,991 PID:6418] [Rank: 0] processing feature: paper/feat/3 [41798a58345e INFO 2023-01-08 06:07:45,995 PID:6418] [Rank: 0] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:07:45,998 PID:6418] [Rank: 0] processing feature: paper/label/1 [41798a58345e INFO 2023-01-08 06:07:46,002 PID:6418] [Rank: 0] processing feature: paper/label/2 [41798a58345e INFO 2023-01-08 06:07:46,006 PID:6418] [Rank: 0] processing feature: paper/label/3 [41798a58345e INFO 2023-01-08 06:07:46,010 PID:6418] [Rank: 0] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:46,013 PID:6418] [Rank: 0] processing feature: paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:07:46,017 PID:6418] [Rank: 0] processing feature: paper/orig_ids/2 [41798a58345e INFO 2023-01-08 06:07:46,021 PID:6418] [Rank: 0] processing feature: paper/orig_ids/3 [41798a58345e INFO 2023-01-08 06:07:46,024 PID:6418] [Rank: 0] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:46,028 PID:6418] [Rank: 0] processing feature: paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:46,032 PID:6418] [Rank: 0] processing feature: paper/test_mask/2 [41798a58345e INFO 2023-01-08 06:07:46,036 PID:6418] [Rank: 0] processing feature: paper/test_mask/3 [41798a58345e INFO 2023-01-08 06:07:46,040 PID:6418] [Rank: 0] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:46,043 PID:6418] [Rank: 0] processing feature: paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:46,047 PID:6418] [Rank: 0] processing feature: paper/train_mask/2 [41798a58345e INFO 2023-01-08 06:07:46,051 PID:6418] [Rank: 0] processing feature: paper/train_mask/3 [41798a58345e INFO 2023-01-08 06:07:46,055 PID:6418] [Rank: 0] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:46,059 PID:6418] [Rank: 0] processing feature: paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:46,062 PID:6418] [Rank: 0] processing feature: paper/val_mask/2 [41798a58345e INFO 2023-01-08 06:07:46,066 PID:6418] [Rank: 0] processing feature: paper/val_mask/3 [41798a58345e INFO 2023-01-08 06:07:46,070 PID:6418] [Rank: 0] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:07:46,074 PID:6418] [Rank: 0] processing feature: paper/year/1 [41798a58345e INFO 2023-01-08 06:07:46,077 PID:6418] [Rank: 0] processing feature: paper/year/2 [41798a58345e INFO 2023-01-08 06:07:46,081 PID:6418] [Rank: 0] processing feature: paper/year/3 [41798a58345e INFO 2023-01-08 06:07:46,085 PID:6418] [Rank: 0] Total time for feature exchange: 0:00:00.207753 [41798a58345e INFO 2023-01-08 06:07:46,085 PID:6418] [Rank: 0] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:07:46,085 PID:6418] [Rank: 0] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:46,096 PID:6418] [Rank: 0] processing feature: author:writes:paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:07:46,104 PID:6418] [Rank: 0] processing feature: author:writes:paper/orig_ids/2 [41798a58345e INFO 2023-01-08 06:07:46,113 PID:6418] [Rank: 0] processing feature: author:writes:paper/orig_ids/3 [41798a58345e INFO 2023-01-08 06:07:46,121 PID:6418] [Rank: 0] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:46,130 PID:6418] [Rank: 0] processing feature: author:writes:paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:07:46,138 PID:6418] [Rank: 0] processing feature: author:writes:paper/test_mask/2 [41798a58345e INFO 2023-01-08 06:07:46,147 PID:6418] [Rank: 0] processing feature: author:writes:paper/test_mask/3 [41798a58345e INFO 2023-01-08 06:07:46,155 PID:6418] [Rank: 0] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:46,164 PID:6418] [Rank: 0] processing feature: author:writes:paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:07:46,173 PID:6418] [Rank: 0] processing feature: author:writes:paper/train_mask/2 [41798a58345e INFO 2023-01-08 06:07:46,181 PID:6418] [Rank: 0] processing feature: author:writes:paper/train_mask/3 [41798a58345e INFO 2023-01-08 06:07:46,189 PID:6418] [Rank: 0] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:46,198 PID:6418] [Rank: 0] processing feature: author:writes:paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:07:46,207 PID:6418] [Rank: 0] processing feature: author:writes:paper/val_mask/2 [41798a58345e INFO 2023-01-08 06:07:46,216 PID:6418] [Rank: 0] processing feature: author:writes:paper/val_mask/3 [41798a58345e INFO 2023-01-08 06:07:46,224 PID:6418] [Rank: 0] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:46,232 PID:6418] [Rank: 0] processing feature: author:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:07:46,241 PID:6418] [Rank: 0] processing feature: author:writes:paper/year/2 [41798a58345e INFO 2023-01-08 06:07:46,250 PID:6418] [Rank: 0] processing feature: author:writes:paper/year/3 [41798a58345e INFO 2023-01-08 06:07:46,258 PID:6418] [Rank: 0] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:46,266 PID:6418] [Rank: 0] processing feature: institution:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:07:46,275 PID:6418] [Rank: 0] processing feature: institution:writes:paper/year/2 [41798a58345e INFO 2023-01-08 06:07:46,284 PID:6418] [Rank: 0] processing feature: institution:writes:paper/year/3 [41798a58345e INFO 2023-01-08 06:07:46,291 PID:6418] [Rank: 0] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:07:46,302 PID:6418] [Rank: 0] processing feature: paper:cites:paper/count/1 [41798a58345e INFO 2023-01-08 06:07:46,313 PID:6418] [Rank: 0] processing feature: paper:cites:paper/count/2 [41798a58345e INFO 2023-01-08 06:07:46,323 PID:6418] [Rank: 0] processing feature: paper:cites:paper/count/3 [41798a58345e INFO 2023-01-08 06:07:46,333 PID:6418] [Rank: 0] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:07:46,341 PID:6418] [Rank: 0] processing feature: paper:rev_writes:author/year/1 [41798a58345e INFO 2023-01-08 06:07:46,350 PID:6418] [Rank: 0] processing feature: paper:rev_writes:author/year/2 [41798a58345e INFO 2023-01-08 06:07:46,358 PID:6418] [Rank: 0] processing feature: paper:rev_writes:author/year/3 [41798a58345e INFO 2023-01-08 06:07:46,366 PID:6418] [Rank: 0] Total time for feature exchange: 0:00:00.281015 [41798a58345e INFO 2023-01-08 06:07:46,366 PID:6418] [Rank: 0] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:07:46,380 PID:6418] [Rank: 0] Time to send/rcv edge data: 0:00:00.011161 [41798a58345e INFO 2023-01-08 06:07:46,418 PID:6418] [Rank: 0] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:07:46,450 PID:6418] [Rank: 0] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:07:46,451 PID:6418] [Rank: 0] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:07:46,492 PID:6418] [Rank: 0] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:07:46,542 PID:6418] [Rank: 0] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:07:46,819 PID:6418] There are 15306 edges in partition 0 [41798a58345e INFO 2023-01-08 06:07:47,126 PID:6418] There are 15515 edges in partition 1 [41798a58345e INFO 2023-01-08 06:07:47,408 PID:6418] There are 15614 edges in partition 2 [41798a58345e INFO 2023-01-08 06:07:47,680 PID:6418] There are 15965 edges in partition 3 [41798a58345e INFO 2023-01-08 06:07:47,690 PID:6418] [Rank: 0] Time to create dgl objects: 0:00:01.147763 [41798a58345e INFO 2023-01-08 06:07:47,690 PID:6418] [Rank: 0] Total execution time of the program: 0:00:02.645521 [Rank: 0 Edge data is already sorted !!! [Rank: 1 Edge data is already sorted !!! [Rank: 2 Edge data is already sorted !!! [Rank: 3 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:07:47,691 PID:6418] [Rank: 0] Done with Distributed data processing pipeline processing. PASSED [ 63%] tests/tools/test_dist_part.py::test_pipeline_formats[None] Done with creating chunked graph PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_hypergraphatt INFO:root:Changing directory to /tmp/tmp8nucf3mm/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4483@7 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4483@7 /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp8nucf3mm/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp8nucf3mm/parted_data --input-dir /tmp/tmp8nucf3mm/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp8nucf3mm/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp8nucf3mm/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp8nucf3mm/parted_data --input-dir /tmp/tmp8nucf3mm/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp8nucf3mm/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp8nucf3mm/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp8nucf3mm/parted_data --input-dir /tmp/tmp8nucf3mm/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp8nucf3mm/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp8nucf3mm/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp8nucf3mm/parted_data --input-dir /tmp/tmp8nucf3mm/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp8nucf3mm/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp8nucf3mm/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp8nucf3mm/parted_data --input-dir /tmp/tmp8nucf3mm/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp8nucf3mm/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs [41798a58345e INFO 2023-01-08 06:07:52,224 PID:6640] Added key: store_based_barrier_key:1 to store for rank: 0 [41798a58345e INFO 2023-01-08 06:07:52,238 PID:6638] Added key: store_based_barrier_key:1 to store for rank: 2 [41798a58345e INFO 2023-01-08 06:07:52,238 PID:6634] Added key: store_based_barrier_key:1 to store for rank: 1 [41798a58345e INFO 2023-01-08 06:07:52,238 PID:6634] Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:07:52,238 PID:6639] Added key: store_based_barrier_key:1 to store for rank: 3 [41798a58345e INFO 2023-01-08 06:07:52,239 PID:6639] Rank 3: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:07:52,245 PID:6640] Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:07:52,246 PID:6640] [Rank: 0] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:07:52,246 PID:6640] [Rank: 0] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:07:52,247 PID:6639] [Rank: 3] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:07:52,247 PID:6639] [Rank: 3] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:07:52,247 PID:6634] [Rank: 1] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:07:52,247 PID:6634] [Rank: 1] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:07:52,249 PID:6638] Rank 2: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:07:52,249 PID:6640] [Rank: 0] Reading file: /tmp/tmp8nucf3mm/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:07:52,249 PID:6638] [Rank: 2] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:07:52,249 PID:6638] [Rank: 2] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:07:52,249 PID:6639] [Rank: 3] Reading file: /tmp/tmp8nucf3mm/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:07:52,250 PID:6634] [Rank: 1] Reading file: /tmp/tmp8nucf3mm/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:07:52,252 PID:6640] [Rank: 0] Reading file: /tmp/tmp8nucf3mm/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:07:52,252 PID:6638] [Rank: 2] Reading file: /tmp/tmp8nucf3mm/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:07:52,252 PID:6639] [Rank: 3] Reading file: /tmp/tmp8nucf3mm/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:07:52,253 PID:6634] [Rank: 1] Reading file: /tmp/tmp8nucf3mm/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:07:52,253 PID:6640] [Rank: 0] Reading file: /tmp/tmp8nucf3mm/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:07:52,254 PID:6639] [Rank: 3] Reading file: /tmp/tmp8nucf3mm/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:07:52,254 PID:6634] [Rank: 1] Reading file: /tmp/tmp8nucf3mm/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:07:52,255 PID:6640] [Rank: 0] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:07:52,255 PID:6638] [Rank: 2] Reading file: /tmp/tmp8nucf3mm/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:07:52,255 PID:6639] [Rank: 3] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:07:52,255 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,256 PID:6634] [Rank: 1] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:07:52,256 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,256 PID:6638] [Rank: 2] Reading file: /tmp/tmp8nucf3mm/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:07:52,256 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,257 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:52,258 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:52,258 PID:6638] [Rank: 2] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:07:52,258 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:52,259 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,261 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:52,352 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,353 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,353 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,353 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,353 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:52,353 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:52,353 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:52,353 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:52,419 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,419 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,420 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,420 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,420 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:52,420 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:52,420 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:52,420 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/author/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:52,483 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,483 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,483 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,483 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,483 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:52,483 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:52,483 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:52,483 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:52,547 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,547 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,547 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,547 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,547 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:52,547 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:52,548 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:52,548 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:52,610 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,610 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,611 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:52,610 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,612 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:52,610 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,612 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:52,612 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/institution/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:52,674 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/feat-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,674 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/feat-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,674 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/feat-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,674 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/feat-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,675 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/feat-3.npy [41798a58345e INFO 2023-01-08 06:07:52,675 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/feat-2.npy [41798a58345e INFO 2023-01-08 06:07:52,675 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/feat-0.npy [41798a58345e INFO 2023-01-08 06:07:52,675 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/feat-1.npy [41798a58345e INFO 2023-01-08 06:07:52,743 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/label-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,743 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/label-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,743 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/label-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,743 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/label-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,744 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/label-2.npy [41798a58345e INFO 2023-01-08 06:07:52,744 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/label-3.npy [41798a58345e INFO 2023-01-08 06:07:52,744 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/label-0.npy [41798a58345e INFO 2023-01-08 06:07:52,744 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/label-1.npy [41798a58345e INFO 2023-01-08 06:07:52,802 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,802 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,802 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,803 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:07:52,803 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:07:52,802 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,803 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:07:52,803 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:07:52,863 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,863 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,863 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,863 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,863 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:52,863 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:52,864 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:52,863 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:52,925 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,925 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,925 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,925 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,926 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:52,926 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:52,926 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:52,926 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:52,978 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,978 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,978 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,979 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:52,979 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:52,978 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:52,979 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:52,979 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:53,021 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,021 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,021 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,021 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/year-2.npy [41798a58345e INFO 2023-01-08 06:07:53,021 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/year-0.npy [41798a58345e INFO 2023-01-08 06:07:53,022 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/year-3.npy [41798a58345e INFO 2023-01-08 06:07:53,021 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,022 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/node_data/paper/year-1.npy [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6640] [Rank: 0] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6640] [Rank: 0] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6640] [Rank: 0] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6640] [Rank: 0] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6640] [Rank: 0] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6640] [Rank: 0] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6640] [Rank: 0] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6640] [Rank: 0] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6640] [Rank: 0] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6640] [Rank: 0] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6640] [Rank: 0] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6640] [Rank: 0] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6640] [Rank: 0] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6638] [Rank: 2] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6638] [Rank: 2] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6638] [Rank: 2] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6638] [Rank: 2] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6638] [Rank: 2] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6638] [Rank: 2] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6638] [Rank: 2] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6638] [Rank: 2] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6638] [Rank: 2] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6638] [Rank: 2] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6638] [Rank: 2] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6638] [Rank: 2] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6638] [Rank: 2] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6639] [Rank: 3] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6639] [Rank: 3] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6639] [Rank: 3] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6639] [Rank: 3] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6639] [Rank: 3] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6639] [Rank: 3] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6639] [Rank: 3] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6639] [Rank: 3] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6639] [Rank: 3] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6639] [Rank: 3] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6639] [Rank: 3] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6639] [Rank: 3] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6639] [Rank: 3] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6634] [Rank: 1] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6634] [Rank: 1] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6634] [Rank: 1] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6634] [Rank: 1] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6634] [Rank: 1] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6634] [Rank: 1] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6634] [Rank: 1] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6634] [Rank: 1] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6634] [Rank: 1] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,060 PID:6634] [Rank: 1] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,061 PID:6634] [Rank: 1] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,061 PID:6634] [Rank: 1] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,061 PID:6634] [Rank: 1] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:07:53,061 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:07:53,061 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:07:53,061 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:07:53,061 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,061 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:07:53,097 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,097 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,098 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,098 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:53,098 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:53,098 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:53,098 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,098 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:53,134 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,134 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,134 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,135 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:53,135 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:53,135 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:53,135 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,135 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:53,171 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,171 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,171 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,172 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:07:53,172 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:07:53,172 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:07:53,172 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,172 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:07:53,211 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,211 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,211 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,212 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:07:53,212 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:07:53,211 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,212 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:07:53,212 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/author:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:07:53,258 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/institution:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,258 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/institution:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,258 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/institution:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,259 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/institution:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:07:53,259 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/institution:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:07:53,259 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/institution:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:07:53,259 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/institution:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,259 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/institution:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:07:53,310 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:cites:paper/count-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,310 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:cites:paper/count-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,310 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:cites:paper/count-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,311 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:cites:paper/count-0.npy [41798a58345e INFO 2023-01-08 06:07:53,311 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:cites:paper/count-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,311 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:cites:paper/count-2.npy [41798a58345e INFO 2023-01-08 06:07:53,311 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:cites:paper/count-3.npy [41798a58345e INFO 2023-01-08 06:07:53,311 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:cites:paper/count-1.npy [41798a58345e INFO 2023-01-08 06:07:53,352 PID:6640] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:rev_writes:author/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,352 PID:6638] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:rev_writes:author/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,352 PID:6639] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:rev_writes:author/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,353 PID:6638] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [41798a58345e INFO 2023-01-08 06:07:53,353 PID:6640] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [41798a58345e INFO 2023-01-08 06:07:53,353 PID:6639] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [41798a58345e INFO 2023-01-08 06:07:53,353 PID:6634] Reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:rev_writes:author/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:07:53,353 PID:6634] Done reading from /tmp/tmp8nucf3mm/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6640] [Rank: 0] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6640] [Rank: 0] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6640] [Rank: 0] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6640] [Rank: 0] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6640] [Rank: 0] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6640] [Rank: 0] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6640] [Rank: 0] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6640] [Rank: 0] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6638] [Rank: 2] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6638] [Rank: 2] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6638] [Rank: 2] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6638] [Rank: 2] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6638] [Rank: 2] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6638] [Rank: 2] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6638] [Rank: 2] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6638] [Rank: 2] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6640] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp8nucf3mm/chunked-data/edge_index/author:affiliated_with:institution0.txt [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6638] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp8nucf3mm/chunked-data/edge_index/author:affiliated_with:institution2.txt [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6639] [Rank: 3] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6639] [Rank: 3] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6639] [Rank: 3] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,390 PID:6639] [Rank: 3] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6639] [Rank: 3] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6639] [Rank: 3] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6639] [Rank: 3] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6639] [Rank: 3] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6639] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp8nucf3mm/chunked-data/edge_index/author:affiliated_with:institution3.txt [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6634] [Rank: 1] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6634] [Rank: 1] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6634] [Rank: 1] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6634] [Rank: 1] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6634] [Rank: 1] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6634] [Rank: 1] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6634] [Rank: 1] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6634] [Rank: 1] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:07:53,391 PID:6634] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp8nucf3mm/chunked-data/edge_index/author:affiliated_with:institution1.txt [41798a58345e INFO 2023-01-08 06:07:53,392 PID:6638] Loading edges of etype[author:writes:paper] from /tmp/tmp8nucf3mm/chunked-data/edge_index/author:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:07:53,392 PID:6640] Loading edges of etype[author:writes:paper] from /tmp/tmp8nucf3mm/chunked-data/edge_index/author:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:07:53,392 PID:6639] Loading edges of etype[author:writes:paper] from /tmp/tmp8nucf3mm/chunked-data/edge_index/author:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:07:53,393 PID:6634] Loading edges of etype[author:writes:paper] from /tmp/tmp8nucf3mm/chunked-data/edge_index/author:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:07:53,393 PID:6638] Loading edges of etype[institution:writes:paper] from /tmp/tmp8nucf3mm/chunked-data/edge_index/institution:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:07:53,393 PID:6640] Loading edges of etype[institution:writes:paper] from /tmp/tmp8nucf3mm/chunked-data/edge_index/institution:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:07:53,394 PID:6639] Loading edges of etype[institution:writes:paper] from /tmp/tmp8nucf3mm/chunked-data/edge_index/institution:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:07:53,394 PID:6638] Loading edges of etype[paper:cites:paper] from /tmp/tmp8nucf3mm/chunked-data/edge_index/paper:cites:paper2.txt [41798a58345e INFO 2023-01-08 06:07:53,395 PID:6640] Loading edges of etype[paper:cites:paper] from /tmp/tmp8nucf3mm/chunked-data/edge_index/paper:cites:paper0.txt [41798a58345e INFO 2023-01-08 06:07:53,394 PID:6634] Loading edges of etype[institution:writes:paper] from /tmp/tmp8nucf3mm/chunked-data/edge_index/institution:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:07:53,395 PID:6639] Loading edges of etype[paper:cites:paper] from /tmp/tmp8nucf3mm/chunked-data/edge_index/paper:cites:paper3.txt [41798a58345e INFO 2023-01-08 06:07:53,396 PID:6638] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp8nucf3mm/chunked-data/edge_index/paper:rev_writes:author2.txt [41798a58345e INFO 2023-01-08 06:07:53,396 PID:6634] Loading edges of etype[paper:cites:paper] from /tmp/tmp8nucf3mm/chunked-data/edge_index/paper:cites:paper1.txt [41798a58345e INFO 2023-01-08 06:07:53,396 PID:6640] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp8nucf3mm/chunked-data/edge_index/paper:rev_writes:author0.txt [41798a58345e INFO 2023-01-08 06:07:53,397 PID:6639] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp8nucf3mm/chunked-data/edge_index/paper:rev_writes:author3.txt [41798a58345e INFO 2023-01-08 06:07:53,397 PID:6638] [Rank: 2] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:07:53,398 PID:6638] Rank: 2 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(6000, 9000)], 'author:writes:paper/test_mask/0': [(6000, 9000)], 'author:writes:paper/train_mask/0': [(6000, 9000)], 'author:writes:paper/val_mask/0': [(6000, 9000)], 'author:writes:paper/year/0': [(6000, 9000)], 'institution:writes:paper/year/0': [(6000, 9000)], 'paper:cites:paper/count/0': [(12000, 18000)], 'paper:rev_writes:author/year/0': [(6000, 9000)]} [41798a58345e INFO 2023-01-08 06:07:53,398 PID:6638] [Rank: 2] Done reading dataset /tmp/tmp8nucf3mm/chunked-data [41798a58345e INFO 2023-01-08 06:07:53,398 PID:6640] [Rank: 0] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:07:53,398 PID:6640] Rank: 0 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(0, 3000)], 'author:writes:paper/test_mask/0': [(0, 3000)], 'author:writes:paper/train_mask/0': [(0, 3000)], 'author:writes:paper/val_mask/0': [(0, 3000)], 'author:writes:paper/year/0': [(0, 3000)], 'institution:writes:paper/year/0': [(0, 3000)], 'paper:cites:paper/count/0': [(0, 6000)], 'paper:rev_writes:author/year/0': [(0, 3000)]} [41798a58345e INFO 2023-01-08 06:07:53,398 PID:6640] [Rank: 0] Done reading dataset /tmp/tmp8nucf3mm/chunked-data [41798a58345e INFO 2023-01-08 06:07:53,398 PID:6639] [Rank: 3] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:07:53,398 PID:6639] Rank: 3 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(9000, 12000)], 'author:writes:paper/test_mask/0': [(9000, 12000)], 'author:writes:paper/train_mask/0': [(9000, 12000)], 'author:writes:paper/val_mask/0': [(9000, 12000)], 'author:writes:paper/year/0': [(9000, 12000)], 'institution:writes:paper/year/0': [(9000, 12000)], 'paper:cites:paper/count/0': [(18000, 24000)], 'paper:rev_writes:author/year/0': [(9000, 12000)]} [41798a58345e INFO 2023-01-08 06:07:53,398 PID:6639] [Rank: 3] Done reading dataset /tmp/tmp8nucf3mm/chunked-data [41798a58345e INFO 2023-01-08 06:07:53,399 PID:6634] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp8nucf3mm/chunked-data/edge_index/paper:rev_writes:author1.txt [41798a58345e INFO 2023-01-08 06:07:53,401 PID:6634] [Rank: 1] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:07:53,401 PID:6634] Rank: 1 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(3000, 6000)], 'author:writes:paper/test_mask/0': [(3000, 6000)], 'author:writes:paper/train_mask/0': [(3000, 6000)], 'author:writes:paper/val_mask/0': [(3000, 6000)], 'author:writes:paper/year/0': [(3000, 6000)], 'institution:writes:paper/year/0': [(3000, 6000)], 'paper:cites:paper/count/0': [(6000, 12000)], 'paper:rev_writes:author/year/0': [(3000, 6000)]} [41798a58345e INFO 2023-01-08 06:07:53,401 PID:6634] [Rank: 1] Done reading dataset /tmp/tmp8nucf3mm/chunked-data [41798a58345e INFO 2023-01-08 06:07:53,539 PID:6639] [Rank: 3] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:07:53,539 PID:6638] [Rank: 2] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:07:53,539 PID:6638] [Rank: 2] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:07:53,539 PID:6639] [Rank: 3] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:07:53,539 PID:6640] [Rank: 0] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:07:53,539 PID:6640] [Rank: 0] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:07:53,538 PID:6634] [Rank: 1] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:07:53,539 PID:6634] [Rank: 1] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:07:53,539 PID:6638] [Rank: 2] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:53,539 PID:6634] [Rank: 1] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:53,540 PID:6640] [Rank: 0] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:53,545 PID:6639] [Rank: 3] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:53,727 PID:6638] [Rank: 2] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:53,727 PID:6640] [Rank: 0] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:53,727 PID:6634] [Rank: 1] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:53,727 PID:6639] [Rank: 3] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:53,906 PID:6634] [Rank: 1] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:53,906 PID:6638] [Rank: 2] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:53,906 PID:6639] [Rank: 3] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:53,906 PID:6640] [Rank: 0] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:54,088 PID:6634] [Rank: 1] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:54,088 PID:6638] [Rank: 2] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:54,088 PID:6640] [Rank: 0] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:54,088 PID:6639] [Rank: 3] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:54,271 PID:6634] [Rank: 1] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:54,271 PID:6640] [Rank: 0] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:54,271 PID:6639] [Rank: 3] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:54,271 PID:6638] [Rank: 2] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:54,466 PID:6638] [Rank: 2] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:54,466 PID:6640] [Rank: 0] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:54,466 PID:6634] [Rank: 1] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:54,466 PID:6639] [Rank: 3] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:54,637 PID:6634] [Rank: 1] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:07:54,637 PID:6638] [Rank: 2] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:07:54,637 PID:6639] [Rank: 3] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:07:54,637 PID:6640] [Rank: 0] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:07:54,794 PID:6639] [Rank: 3] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:07:54,794 PID:6638] [Rank: 2] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:07:54,794 PID:6634] [Rank: 1] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:07:54,794 PID:6640] [Rank: 0] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:07:54,981 PID:6634] [Rank: 1] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:54,981 PID:6640] [Rank: 0] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:54,981 PID:6639] [Rank: 3] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:54,981 PID:6638] [Rank: 2] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:55,163 PID:6634] [Rank: 1] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:55,163 PID:6640] [Rank: 0] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:55,163 PID:6638] [Rank: 2] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:55,163 PID:6639] [Rank: 3] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:55,338 PID:6640] [Rank: 0] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:55,338 PID:6638] [Rank: 2] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:55,339 PID:6639] [Rank: 3] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:55,339 PID:6634] [Rank: 1] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:55,503 PID:6639] [Rank: 3] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:55,503 PID:6634] [Rank: 1] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:55,503 PID:6640] [Rank: 0] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:55,503 PID:6638] [Rank: 2] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:55,657 PID:6639] [Rank: 3] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:07:55,657 PID:6634] [Rank: 1] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:07:55,657 PID:6638] [Rank: 2] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:07:55,657 PID:6640] [Rank: 0] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:07:55,816 PID:6640] [Rank: 0] Total time for feature exchange: 0:00:02.276113 [41798a58345e INFO 2023-01-08 06:07:55,816 PID:6638] [Rank: 2] Total time for feature exchange: 0:00:02.276614 [41798a58345e INFO 2023-01-08 06:07:55,816 PID:6639] [Rank: 3] Total time for feature exchange: 0:00:02.270355 [41798a58345e INFO 2023-01-08 06:07:55,816 PID:6634] [Rank: 1] Total time for feature exchange: 0:00:02.276588 [41798a58345e INFO 2023-01-08 06:07:55,816 PID:6640] [Rank: 0] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:07:55,816 PID:6634] [Rank: 1] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:07:55,816 PID:6640] [Rank: 0] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:55,816 PID:6634] [Rank: 1] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:55,816 PID:6638] [Rank: 2] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:07:55,816 PID:6639] [Rank: 3] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:07:55,816 PID:6638] [Rank: 2] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:55,816 PID:6639] [Rank: 3] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:07:56,185 PID:6640] [Rank: 0] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:56,185 PID:6638] [Rank: 2] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:56,185 PID:6634] [Rank: 1] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:56,185 PID:6639] [Rank: 3] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:07:56,551 PID:6638] [Rank: 2] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:56,551 PID:6634] [Rank: 1] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:56,551 PID:6640] [Rank: 0] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:56,551 PID:6639] [Rank: 3] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:07:56,987 PID:6639] [Rank: 3] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:56,987 PID:6640] [Rank: 0] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:56,987 PID:6634] [Rank: 1] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:56,987 PID:6638] [Rank: 2] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:07:57,351 PID:6640] [Rank: 0] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:57,351 PID:6639] [Rank: 3] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:57,351 PID:6634] [Rank: 1] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:57,351 PID:6638] [Rank: 2] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:57,740 PID:6638] [Rank: 2] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:57,740 PID:6639] [Rank: 3] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:57,740 PID:6640] [Rank: 0] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:57,745 PID:6634] [Rank: 1] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:07:58,106 PID:6639] [Rank: 3] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:07:58,106 PID:6634] [Rank: 1] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:07:58,106 PID:6638] [Rank: 2] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:07:58,106 PID:6640] [Rank: 0] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:07:58,488 PID:6638] [Rank: 2] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:07:58,488 PID:6634] [Rank: 1] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:07:58,488 PID:6640] [Rank: 0] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:07:58,488 PID:6639] [Rank: 3] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:07:58,888 PID:6634] [Rank: 1] Total time for feature exchange: 0:00:03.071413 [41798a58345e INFO 2023-01-08 06:07:58,888 PID:6634] [Rank: 1] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:07:58,888 PID:6640] [Rank: 0] Total time for feature exchange: 0:00:03.071381 [41798a58345e INFO 2023-01-08 06:07:58,888 PID:6640] [Rank: 0] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:07:58,888 PID:6638] [Rank: 2] Total time for feature exchange: 0:00:03.071335 [41798a58345e INFO 2023-01-08 06:07:58,888 PID:6638] [Rank: 2] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:07:58,888 PID:6639] [Rank: 3] Total time for feature exchange: 0:00:03.071317 [41798a58345e INFO 2023-01-08 06:07:58,888 PID:6639] [Rank: 3] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:07:59,186 PID:6640] [Rank: 0] Time to send/rcv edge data: 0:00:00.004834 [41798a58345e INFO 2023-01-08 06:07:59,186 PID:6634] [Rank: 1] Time to send/rcv edge data: 0:00:00.003958 [41798a58345e INFO 2023-01-08 06:07:59,186 PID:6638] [Rank: 2] Time to send/rcv edge data: 0:00:00.005041 [41798a58345e INFO 2023-01-08 06:07:59,186 PID:6639] [Rank: 3] Time to send/rcv edge data: 0:00:00.005107 [41798a58345e INFO 2023-01-08 06:07:59,223 PID:6639] [Rank: 3] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:07:59,225 PID:6640] [Rank: 0] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:07:59,228 PID:6638] [Rank: 2] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:07:59,250 PID:6634] [Rank: 1] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:07:59,254 PID:6639] [Rank: 3] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:07:59,258 PID:6640] [Rank: 0] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:07:59,259 PID:6638] [Rank: 2] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:07:59,267 PID:6634] [Rank: 1] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:07:59,268 PID:6639] [Rank: 3] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:07:59,268 PID:6638] [Rank: 2] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:07:59,268 PID:6640] [Rank: 0] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:07:59,268 PID:6634] [Rank: 1] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:07:59,303 PID:6634] [Rank: 1] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:07:59,303 PID:6638] [Rank: 2] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:07:59,304 PID:6639] [Rank: 3] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:07:59,304 PID:6640] [Rank: 0] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:07:59,501 PID:6634] [Rank: 1] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:07:59,502 PID:6638] [Rank: 2] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:07:59,502 PID:6640] [Rank: 0] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:07:59,502 PID:6639] [Rank: 3] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:07:59,674 PID:6634] There are 16159 edges in partition 1 [41798a58345e INFO 2023-01-08 06:07:59,741 PID:6639] There are 16023 edges in partition 3 [41798a58345e INFO 2023-01-08 06:07:59,745 PID:6640] There are 15233 edges in partition 0 [41798a58345e INFO 2023-01-08 06:07:59,782 PID:6638] There are 14985 edges in partition 2 [41798a58345e INFO 2023-01-08 06:07:59,835 PID:6638] [Rank: 2] Time to create dgl objects: 0:00:00.333001 [41798a58345e INFO 2023-01-08 06:07:59,835 PID:6639] [Rank: 3] Time to create dgl objects: 0:00:00.332496 [41798a58345e INFO 2023-01-08 06:07:59,835 PID:6634] [Rank: 1] Time to create dgl objects: 0:00:00.333204 [41798a58345e INFO 2023-01-08 06:07:59,835 PID:6638] [Rank: 2] Total execution time of the program: 0:00:07.585845 [41798a58345e INFO 2023-01-08 06:07:59,835 PID:6634] [Rank: 1] Total execution time of the program: 0:00:07.588344 [41798a58345e INFO 2023-01-08 06:07:59,835 PID:6639] [Rank: 3] Total execution time of the program: 0:00:07.588440 [41798a58345e INFO 2023-01-08 06:07:59,835 PID:6638] [Rank: 2] Done with Distributed data processing pipeline processing. [41798a58345e INFO 2023-01-08 06:07:59,835 PID:6634] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [Rank: 1 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:07:59,836 PID:6639] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 3 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:07:59,836 PID:6640] [Rank: 0] Time to create dgl objects: 0:00:00.333777 [41798a58345e INFO 2023-01-08 06:07:59,836 PID:6640] [Rank: 0] Total execution time of the program: 0:00:07.590337 [41798a58345e INFO 2023-01-08 06:07:59,836 PID:6640] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 64%] tests/tools/test_dist_part.py::test_pipeline_formats[csc] Done with creating chunked graph INFO:root:Changing directory to /tmp/tmpzgdz_egg/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4483@7 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4483@7 PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_sgc PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_sign /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpzgdz_egg/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpzgdz_egg/parted_data --input-dir /tmp/tmpzgdz_egg/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpzgdz_egg/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats csc " (export DGL_IP_CONFIG=/tmp/tmpzgdz_egg/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpzgdz_egg/parted_data --input-dir /tmp/tmpzgdz_egg/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpzgdz_egg/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats csc ) (export DGL_IP_CONFIG=/tmp/tmpzgdz_egg/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpzgdz_egg/parted_data --input-dir /tmp/tmpzgdz_egg/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpzgdz_egg/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats csc ) (export DGL_IP_CONFIG=/tmp/tmpzgdz_egg/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpzgdz_egg/parted_data --input-dir /tmp/tmpzgdz_egg/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpzgdz_egg/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats csc ) (export DGL_IP_CONFIG=/tmp/tmpzgdz_egg/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpzgdz_egg/parted_data --input-dir /tmp/tmpzgdz_egg/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpzgdz_egg/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats csc ) cleanupu process runs PASSED [ 86%] tests/pytorch/sparse/test_example.py::test_twirls [41798a58345e INFO 2023-01-08 06:08:05,055 PID:7275] Added key: store_based_barrier_key:1 to store for rank: 2 [41798a58345e INFO 2023-01-08 06:08:05,055 PID:7274] Added key: store_based_barrier_key:1 to store for rank: 0 [41798a58345e INFO 2023-01-08 06:08:05,055 PID:7273] Added key: store_based_barrier_key:1 to store for rank: 1 [41798a58345e INFO 2023-01-08 06:08:05,057 PID:7277] Added key: store_based_barrier_key:1 to store for rank: 3 [41798a58345e INFO 2023-01-08 06:08:05,057 PID:7277] Rank 3: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:05,066 PID:7274] Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:05,066 PID:7275] Rank 2: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:05,066 PID:7274] [Rank: 0] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:05,066 PID:7274] [Rank: 0] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:05,066 PID:7273] Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:05,067 PID:7275] [Rank: 2] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:05,067 PID:7275] [Rank: 2] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:05,067 PID:7277] [Rank: 3] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:05,067 PID:7277] [Rank: 3] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:05,068 PID:7273] [Rank: 1] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:05,068 PID:7273] [Rank: 1] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:05,069 PID:7274] [Rank: 0] Reading file: /tmp/tmpzgdz_egg/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:05,070 PID:7277] [Rank: 3] Reading file: /tmp/tmpzgdz_egg/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:05,070 PID:7275] [Rank: 2] Reading file: /tmp/tmpzgdz_egg/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:05,071 PID:7273] [Rank: 1] Reading file: /tmp/tmpzgdz_egg/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:05,072 PID:7274] [Rank: 0] Reading file: /tmp/tmpzgdz_egg/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:05,073 PID:7277] [Rank: 3] Reading file: /tmp/tmpzgdz_egg/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:05,073 PID:7275] [Rank: 2] Reading file: /tmp/tmpzgdz_egg/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:05,073 PID:7273] [Rank: 1] Reading file: /tmp/tmpzgdz_egg/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:05,074 PID:7274] [Rank: 0] Reading file: /tmp/tmpzgdz_egg/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:05,074 PID:7277] [Rank: 3] Reading file: /tmp/tmpzgdz_egg/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:05,075 PID:7275] [Rank: 2] Reading file: /tmp/tmpzgdz_egg/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:05,075 PID:7273] [Rank: 1] Reading file: /tmp/tmpzgdz_egg/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:05,075 PID:7274] [Rank: 0] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:05,076 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,076 PID:7277] [Rank: 3] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:05,076 PID:7275] [Rank: 2] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:05,077 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,077 PID:7273] [Rank: 1] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:05,077 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,078 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,078 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:05,078 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:05,079 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:05,079 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:05,185 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,185 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,185 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,185 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,185 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:05,185 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:05,185 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:05,185 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:05,240 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,240 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,240 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,240 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,240 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:05,240 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:05,241 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:05,241 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/author/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:05,291 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,291 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,291 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,291 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,291 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:05,291 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:05,291 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:05,291 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:05,341 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,341 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,341 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,341 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,341 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:05,341 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:05,341 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:05,341 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:05,389 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,389 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,389 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,389 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,389 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:05,389 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:05,389 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:05,389 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/institution/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:05,438 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/feat-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,438 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/feat-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,438 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/feat-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,439 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/feat-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,439 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/feat-0.npy [41798a58345e INFO 2023-01-08 06:08:05,439 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/feat-3.npy [41798a58345e INFO 2023-01-08 06:08:05,439 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/feat-1.npy [41798a58345e INFO 2023-01-08 06:08:05,439 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/feat-2.npy [41798a58345e INFO 2023-01-08 06:08:05,489 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/label-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,489 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/label-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,489 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/label-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,489 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/label-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,489 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/label-3.npy [41798a58345e INFO 2023-01-08 06:08:05,489 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/label-2.npy [41798a58345e INFO 2023-01-08 06:08:05,489 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/label-1.npy [41798a58345e INFO 2023-01-08 06:08:05,489 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/label-0.npy [41798a58345e INFO 2023-01-08 06:08:05,539 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,539 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,539 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,540 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,540 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:08:05,540 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:08:05,540 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:08:05,540 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:08:05,589 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,589 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,589 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,589 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,589 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:05,589 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:05,589 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:05,589 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:05,638 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,638 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,638 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,638 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,639 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:05,639 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:05,639 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:05,639 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:05,688 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,688 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,688 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,688 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,688 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:05,688 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:05,688 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:05,688 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:05,739 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,739 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,739 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,739 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,739 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/year-2.npy [41798a58345e INFO 2023-01-08 06:08:05,740 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/year-3.npy [41798a58345e INFO 2023-01-08 06:08:05,740 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/year-0.npy [41798a58345e INFO 2023-01-08 06:08:05,739 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/node_data/paper/year-1.npy [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7277] [Rank: 3] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7277] [Rank: 3] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7277] [Rank: 3] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7277] [Rank: 3] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7277] [Rank: 3] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7277] [Rank: 3] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7277] [Rank: 3] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7277] [Rank: 3] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7277] [Rank: 3] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7277] [Rank: 3] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7277] [Rank: 3] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7277] [Rank: 3] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7274] [Rank: 0] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7274] [Rank: 0] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7274] [Rank: 0] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7274] [Rank: 0] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7274] [Rank: 0] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7274] [Rank: 0] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7274] [Rank: 0] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7274] [Rank: 0] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7274] [Rank: 0] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7274] [Rank: 0] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7273] [Rank: 1] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7273] [Rank: 1] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7273] [Rank: 1] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7273] [Rank: 1] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7273] [Rank: 1] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7273] [Rank: 1] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7273] [Rank: 1] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7273] [Rank: 1] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7273] [Rank: 1] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7273] [Rank: 1] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7273] [Rank: 1] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7273] [Rank: 1] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7273] [Rank: 1] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7277] [Rank: 3] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7274] [Rank: 0] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7274] [Rank: 0] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7274] [Rank: 0] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7275] [Rank: 2] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7275] [Rank: 2] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7275] [Rank: 2] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,794 PID:7275] [Rank: 2] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,794 PID:7275] [Rank: 2] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,794 PID:7275] [Rank: 2] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,793 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,794 PID:7275] [Rank: 2] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:05,794 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,794 PID:7275] [Rank: 2] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,794 PID:7275] [Rank: 2] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,794 PID:7275] [Rank: 2] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,794 PID:7275] [Rank: 2] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,794 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:08:05,794 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:08:05,794 PID:7275] [Rank: 2] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,794 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:08:05,794 PID:7275] [Rank: 2] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:05,795 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,796 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:08:05,842 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,842 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,842 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:05,842 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,842 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,842 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:05,842 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:05,842 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:05,880 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,880 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,880 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,880 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,880 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:05,880 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:05,880 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:05,880 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:05,917 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,917 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,917 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,918 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,918 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:05,918 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:05,918 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:05,918 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:05,955 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,954 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,954 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,954 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,955 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:08:05,955 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:08:05,955 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:08:05,955 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/author:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:08:05,992 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/institution:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,992 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/institution:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,992 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/institution:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,992 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/institution:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:05,993 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/institution:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:08:05,993 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/institution:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:08:05,993 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/institution:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:08:05,993 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/institution:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:08:06,029 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:cites:paper/count-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:06,029 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:cites:paper/count-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:06,029 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:cites:paper/count-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:06,029 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:cites:paper/count-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:06,030 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:cites:paper/count-2.npy [41798a58345e INFO 2023-01-08 06:08:06,030 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:cites:paper/count-3.npy [41798a58345e INFO 2023-01-08 06:08:06,030 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:cites:paper/count-1.npy [41798a58345e INFO 2023-01-08 06:08:06,030 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:cites:paper/count-0.npy [41798a58345e INFO 2023-01-08 06:08:06,065 PID:7275] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:rev_writes:author/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:06,065 PID:7274] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:rev_writes:author/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:06,065 PID:7275] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [41798a58345e INFO 2023-01-08 06:08:06,065 PID:7273] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:rev_writes:author/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:06,065 PID:7277] Reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:rev_writes:author/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:06,065 PID:7273] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [41798a58345e INFO 2023-01-08 06:08:06,065 PID:7277] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [41798a58345e INFO 2023-01-08 06:08:06,065 PID:7274] Done reading from /tmp/tmpzgdz_egg/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7275] [Rank: 2] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7275] [Rank: 2] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7275] [Rank: 2] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7275] [Rank: 2] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7275] [Rank: 2] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7275] [Rank: 2] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7275] [Rank: 2] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7275] [Rank: 2] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,109 PID:7273] [Rank: 1] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7273] [Rank: 1] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7273] [Rank: 1] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7273] [Rank: 1] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7273] [Rank: 1] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7273] [Rank: 1] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7273] [Rank: 1] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7273] [Rank: 1] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7277] [Rank: 3] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7277] [Rank: 3] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7277] [Rank: 3] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7277] [Rank: 3] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7277] [Rank: 3] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7277] [Rank: 3] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7277] [Rank: 3] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7277] [Rank: 3] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7275] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpzgdz_egg/chunked-data/edge_index/author:affiliated_with:institution2.txt [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7273] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpzgdz_egg/chunked-data/edge_index/author:affiliated_with:institution1.txt [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7274] [Rank: 0] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7274] [Rank: 0] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7274] [Rank: 0] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7274] [Rank: 0] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7274] [Rank: 0] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7274] [Rank: 0] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7274] [Rank: 0] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7274] [Rank: 0] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7277] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpzgdz_egg/chunked-data/edge_index/author:affiliated_with:institution3.txt [41798a58345e INFO 2023-01-08 06:08:06,110 PID:7274] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpzgdz_egg/chunked-data/edge_index/author:affiliated_with:institution0.txt [41798a58345e INFO 2023-01-08 06:08:06,111 PID:7273] Loading edges of etype[author:writes:paper] from /tmp/tmpzgdz_egg/chunked-data/edge_index/author:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:08:06,112 PID:7277] Loading edges of etype[author:writes:paper] from /tmp/tmpzgdz_egg/chunked-data/edge_index/author:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:08:06,112 PID:7274] Loading edges of etype[author:writes:paper] from /tmp/tmpzgdz_egg/chunked-data/edge_index/author:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:08:06,112 PID:7275] Loading edges of etype[author:writes:paper] from /tmp/tmpzgdz_egg/chunked-data/edge_index/author:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:08:06,113 PID:7273] Loading edges of etype[institution:writes:paper] from /tmp/tmpzgdz_egg/chunked-data/edge_index/institution:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:08:06,113 PID:7277] Loading edges of etype[institution:writes:paper] from /tmp/tmpzgdz_egg/chunked-data/edge_index/institution:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:08:06,114 PID:7274] Loading edges of etype[institution:writes:paper] from /tmp/tmpzgdz_egg/chunked-data/edge_index/institution:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:08:06,115 PID:7275] Loading edges of etype[institution:writes:paper] from /tmp/tmpzgdz_egg/chunked-data/edge_index/institution:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:08:06,115 PID:7273] Loading edges of etype[paper:cites:paper] from /tmp/tmpzgdz_egg/chunked-data/edge_index/paper:cites:paper1.txt [41798a58345e INFO 2023-01-08 06:08:06,115 PID:7277] Loading edges of etype[paper:cites:paper] from /tmp/tmpzgdz_egg/chunked-data/edge_index/paper:cites:paper3.txt [41798a58345e INFO 2023-01-08 06:08:06,116 PID:7274] Loading edges of etype[paper:cites:paper] from /tmp/tmpzgdz_egg/chunked-data/edge_index/paper:cites:paper0.txt [41798a58345e INFO 2023-01-08 06:08:06,117 PID:7273] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpzgdz_egg/chunked-data/edge_index/paper:rev_writes:author1.txt [41798a58345e INFO 2023-01-08 06:08:06,117 PID:7275] Loading edges of etype[paper:cites:paper] from /tmp/tmpzgdz_egg/chunked-data/edge_index/paper:cites:paper2.txt [41798a58345e INFO 2023-01-08 06:08:06,117 PID:7277] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpzgdz_egg/chunked-data/edge_index/paper:rev_writes:author3.txt [41798a58345e INFO 2023-01-08 06:08:06,117 PID:7274] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpzgdz_egg/chunked-data/edge_index/paper:rev_writes:author0.txt [41798a58345e INFO 2023-01-08 06:08:06,118 PID:7273] [Rank: 1] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:06,119 PID:7273] Rank: 1 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(3000, 6000)], 'author:writes:paper/test_mask/0': [(3000, 6000)], 'author:writes:paper/train_mask/0': [(3000, 6000)], 'author:writes:paper/val_mask/0': [(3000, 6000)], 'author:writes:paper/year/0': [(3000, 6000)], 'institution:writes:paper/year/0': [(3000, 6000)], 'paper:cites:paper/count/0': [(6000, 12000)], 'paper:rev_writes:author/year/0': [(3000, 6000)]} [41798a58345e INFO 2023-01-08 06:08:06,119 PID:7277] [Rank: 3] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:06,119 PID:7273] [Rank: 1] Done reading dataset /tmp/tmpzgdz_egg/chunked-data [41798a58345e INFO 2023-01-08 06:08:06,119 PID:7277] Rank: 3 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(9000, 12000)], 'author:writes:paper/test_mask/0': [(9000, 12000)], 'author:writes:paper/train_mask/0': [(9000, 12000)], 'author:writes:paper/val_mask/0': [(9000, 12000)], 'author:writes:paper/year/0': [(9000, 12000)], 'institution:writes:paper/year/0': [(9000, 12000)], 'paper:cites:paper/count/0': [(18000, 24000)], 'paper:rev_writes:author/year/0': [(9000, 12000)]} [41798a58345e INFO 2023-01-08 06:08:06,119 PID:7274] [Rank: 0] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:06,119 PID:7277] [Rank: 3] Done reading dataset /tmp/tmpzgdz_egg/chunked-data [41798a58345e INFO 2023-01-08 06:08:06,119 PID:7274] Rank: 0 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(0, 3000)], 'author:writes:paper/test_mask/0': [(0, 3000)], 'author:writes:paper/train_mask/0': [(0, 3000)], 'author:writes:paper/val_mask/0': [(0, 3000)], 'author:writes:paper/year/0': [(0, 3000)], 'institution:writes:paper/year/0': [(0, 3000)], 'paper:cites:paper/count/0': [(0, 6000)], 'paper:rev_writes:author/year/0': [(0, 3000)]} [41798a58345e INFO 2023-01-08 06:08:06,119 PID:7274] [Rank: 0] Done reading dataset /tmp/tmpzgdz_egg/chunked-data [41798a58345e INFO 2023-01-08 06:08:06,120 PID:7275] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpzgdz_egg/chunked-data/edge_index/paper:rev_writes:author2.txt [41798a58345e INFO 2023-01-08 06:08:06,123 PID:7275] [Rank: 2] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:06,123 PID:7275] Rank: 2 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(6000, 9000)], 'author:writes:paper/test_mask/0': [(6000, 9000)], 'author:writes:paper/train_mask/0': [(6000, 9000)], 'author:writes:paper/val_mask/0': [(6000, 9000)], 'author:writes:paper/year/0': [(6000, 9000)], 'institution:writes:paper/year/0': [(6000, 9000)], 'paper:cites:paper/count/0': [(12000, 18000)], 'paper:rev_writes:author/year/0': [(6000, 9000)]} [41798a58345e INFO 2023-01-08 06:08:06,123 PID:7275] [Rank: 2] Done reading dataset /tmp/tmpzgdz_egg/chunked-data [41798a58345e INFO 2023-01-08 06:08:06,265 PID:7275] [Rank: 2] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:06,265 PID:7275] [Rank: 2] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:06,265 PID:7277] [Rank: 3] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:06,265 PID:7277] [Rank: 3] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:06,265 PID:7273] [Rank: 1] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:06,265 PID:7274] [Rank: 0] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:06,266 PID:7274] [Rank: 0] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:06,266 PID:7273] [Rank: 1] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:06,266 PID:7277] [Rank: 3] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,266 PID:7275] [Rank: 2] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,266 PID:7273] [Rank: 1] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,266 PID:7274] [Rank: 0] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,464 PID:7274] [Rank: 0] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,464 PID:7277] [Rank: 3] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,464 PID:7273] [Rank: 1] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,464 PID:7275] [Rank: 2] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,619 PID:7274] [Rank: 0] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,619 PID:7277] [Rank: 3] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,619 PID:7275] [Rank: 2] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,619 PID:7273] [Rank: 1] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,769 PID:7275] [Rank: 2] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,769 PID:7277] [Rank: 3] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,769 PID:7273] [Rank: 1] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,769 PID:7274] [Rank: 0] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,942 PID:7274] [Rank: 0] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,942 PID:7275] [Rank: 2] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,942 PID:7277] [Rank: 3] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:06,942 PID:7273] [Rank: 1] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:07,107 PID:7277] [Rank: 3] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:07,107 PID:7275] [Rank: 2] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:07,107 PID:7274] [Rank: 0] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:07,108 PID:7273] [Rank: 1] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:07,263 PID:7273] [Rank: 1] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:07,263 PID:7275] [Rank: 2] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:07,263 PID:7277] [Rank: 3] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:07,263 PID:7274] [Rank: 0] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:07,426 PID:7273] [Rank: 1] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:07,426 PID:7274] [Rank: 0] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:07,426 PID:7277] [Rank: 3] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:07,426 PID:7275] [Rank: 2] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:07,602 PID:7277] [Rank: 3] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:07,602 PID:7273] [Rank: 1] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:07,602 PID:7274] [Rank: 0] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:07,602 PID:7275] [Rank: 2] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:07,761 PID:7274] [Rank: 0] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:07,761 PID:7277] [Rank: 3] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:07,761 PID:7275] [Rank: 2] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:07,761 PID:7273] [Rank: 1] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:07,920 PID:7277] [Rank: 3] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:07,920 PID:7275] [Rank: 2] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:07,920 PID:7274] [Rank: 0] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:07,920 PID:7273] [Rank: 1] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:08,074 PID:7277] [Rank: 3] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:08,074 PID:7275] [Rank: 2] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:08,074 PID:7273] [Rank: 1] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:08,074 PID:7274] [Rank: 0] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:08,225 PID:7274] [Rank: 0] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:08,225 PID:7273] [Rank: 1] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:08,225 PID:7277] [Rank: 3] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:08,225 PID:7275] [Rank: 2] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:08,371 PID:7274] [Rank: 0] Total time for feature exchange: 0:00:02.105118 [41798a58345e INFO 2023-01-08 06:08:08,371 PID:7275] [Rank: 2] Total time for feature exchange: 0:00:02.105492 [41798a58345e INFO 2023-01-08 06:08:08,371 PID:7277] [Rank: 3] Total time for feature exchange: 0:00:02.105509 [41798a58345e INFO 2023-01-08 06:08:08,371 PID:7273] [Rank: 1] Total time for feature exchange: 0:00:02.105084 [41798a58345e INFO 2023-01-08 06:08:08,372 PID:7275] [Rank: 2] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:08,372 PID:7273] [Rank: 1] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:08,372 PID:7274] [Rank: 0] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:08,372 PID:7275] [Rank: 2] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:08,372 PID:7273] [Rank: 1] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:08,372 PID:7274] [Rank: 0] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:08,372 PID:7277] [Rank: 3] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:08,372 PID:7277] [Rank: 3] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:08,766 PID:7275] [Rank: 2] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:08,766 PID:7273] [Rank: 1] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:08,766 PID:7277] [Rank: 3] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:08,766 PID:7274] [Rank: 0] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:09,122 PID:7273] [Rank: 1] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:09,122 PID:7274] [Rank: 0] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:09,122 PID:7275] [Rank: 2] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:09,122 PID:7277] [Rank: 3] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:09,509 PID:7275] [Rank: 2] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:09,509 PID:7274] [Rank: 0] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:09,509 PID:7273] [Rank: 1] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:09,509 PID:7277] [Rank: 3] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:09,879 PID:7274] [Rank: 0] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:09,879 PID:7275] [Rank: 2] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:09,879 PID:7273] [Rank: 1] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:09,879 PID:7277] [Rank: 3] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:10,247 PID:7275] [Rank: 2] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:10,247 PID:7274] [Rank: 0] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:10,247 PID:7273] [Rank: 1] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:10,247 PID:7277] [Rank: 3] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:10,648 PID:7275] [Rank: 2] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:08:10,648 PID:7277] [Rank: 3] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:08:10,648 PID:7273] [Rank: 1] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:08:10,648 PID:7274] [Rank: 0] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:08:11,030 PID:7277] [Rank: 3] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:08:11,030 PID:7274] [Rank: 0] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:08:11,030 PID:7275] [Rank: 2] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:08:11,030 PID:7273] [Rank: 1] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:08:11,406 PID:7275] [Rank: 2] Total time for feature exchange: 0:00:03.034026 [41798a58345e INFO 2023-01-08 06:08:11,406 PID:7275] [Rank: 2] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:08:11,406 PID:7273] [Rank: 1] Total time for feature exchange: 0:00:03.033999 [41798a58345e INFO 2023-01-08 06:08:11,406 PID:7273] [Rank: 1] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:08:11,406 PID:7274] [Rank: 0] Total time for feature exchange: 0:00:03.033978 [41798a58345e INFO 2023-01-08 06:08:11,406 PID:7274] [Rank: 0] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:08:11,406 PID:7277] [Rank: 3] Total time for feature exchange: 0:00:03.033826 [41798a58345e INFO 2023-01-08 06:08:11,406 PID:7277] [Rank: 3] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:08:11,698 PID:7275] [Rank: 2] Time to send/rcv edge data: 0:00:00.005595 [41798a58345e INFO 2023-01-08 06:08:11,698 PID:7274] [Rank: 0] Time to send/rcv edge data: 0:00:00.005288 [41798a58345e INFO 2023-01-08 06:08:11,698 PID:7277] [Rank: 3] Time to send/rcv edge data: 0:00:00.005625 [41798a58345e INFO 2023-01-08 06:08:11,698 PID:7273] [Rank: 1] Time to send/rcv edge data: 0:00:00.005539 [41798a58345e INFO 2023-01-08 06:08:11,732 PID:7274] [Rank: 0] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:08:11,749 PID:7275] [Rank: 2] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:08:11,752 PID:7274] [Rank: 0] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:08:11,772 PID:7275] [Rank: 2] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:08:11,773 PID:7277] [Rank: 3] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:08:11,789 PID:7273] [Rank: 1] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:08:11,813 PID:7277] [Rank: 3] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:08:11,815 PID:7273] [Rank: 1] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:08:11,816 PID:7277] [Rank: 3] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:08:11,816 PID:7273] [Rank: 1] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:08:11,817 PID:7274] [Rank: 0] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:08:11,817 PID:7275] [Rank: 2] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:08:11,865 PID:7275] [Rank: 2] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:08:11,865 PID:7277] [Rank: 3] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:08:11,865 PID:7273] [Rank: 1] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:08:11,865 PID:7274] [Rank: 0] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:08:12,054 PID:7275] [Rank: 2] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:08:12,054 PID:7274] [Rank: 0] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:08:12,055 PID:7277] [Rank: 3] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:08:12,055 PID:7273] [Rank: 1] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:08:12,209 PID:7275] There are 15416 edges in partition 2 [41798a58345e INFO 2023-01-08 06:08:12,303 PID:7274] There are 15637 edges in partition 0 [41798a58345e INFO 2023-01-08 06:08:12,398 PID:7277] There are 15237 edges in partition 3 [41798a58345e INFO 2023-01-08 06:08:12,458 PID:7273] There are 16110 edges in partition 1 [41798a58345e INFO 2023-01-08 06:08:12,485 PID:7273] [Rank: 1] Time to create dgl objects: 0:00:00.428993 [41798a58345e INFO 2023-01-08 06:08:12,485 PID:7275] [Rank: 2] Time to create dgl objects: 0:00:00.430521 [41798a58345e INFO 2023-01-08 06:08:12,485 PID:7273] [Rank: 1] Total execution time of the program: 0:00:07.417319 [41798a58345e INFO 2023-01-08 06:08:12,485 PID:7277] [Rank: 3] Time to create dgl objects: 0:00:00.429126 [41798a58345e INFO 2023-01-08 06:08:12,485 PID:7273] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:08:12,486 PID:7275] [Rank: 2] Total execution time of the program: 0:00:07.418468 [41798a58345e INFO 2023-01-08 06:08:12,486 PID:7277] [Rank: 3] Total execution time of the program: 0:00:07.418670 [41798a58345e INFO 2023-01-08 06:08:12,486 PID:7275] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:08:12,487 PID:7277] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 3 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:08:12,487 PID:7274] [Rank: 0] Time to create dgl objects: 0:00:00.432682 [41798a58345e INFO 2023-01-08 06:08:12,488 PID:7274] [Rank: 0] Total execution time of the program: 0:00:07.421959 [41798a58345e INFO 2023-01-08 06:08:12,489 PID:7274] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 66%] tests/tools/test_dist_part.py::test_pipeline_formats[coo,csc] Done with creating chunked graph INFO:root:Changing directory to /tmp/tmpidrcagfl/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4483@7 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4483@7 /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpidrcagfl/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpidrcagfl/parted_data --input-dir /tmp/tmpidrcagfl/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpidrcagfl/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc " (export DGL_IP_CONFIG=/tmp/tmpidrcagfl/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpidrcagfl/parted_data --input-dir /tmp/tmpidrcagfl/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpidrcagfl/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc ) (export DGL_IP_CONFIG=/tmp/tmpidrcagfl/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpidrcagfl/parted_data --input-dir /tmp/tmpidrcagfl/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpidrcagfl/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc ) (export DGL_IP_CONFIG=/tmp/tmpidrcagfl/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpidrcagfl/parted_data --input-dir /tmp/tmpidrcagfl/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpidrcagfl/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc ) (export DGL_IP_CONFIG=/tmp/tmpidrcagfl/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpidrcagfl/parted_data --input-dir /tmp/tmpidrcagfl/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpidrcagfl/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc ) cleanupu process runs [41798a58345e INFO 2023-01-08 06:08:17,652 PID:7912] Added key: store_based_barrier_key:1 to store for rank: 0 [41798a58345e INFO 2023-01-08 06:08:17,662 PID:7906] Added key: store_based_barrier_key:1 to store for rank: 1 [41798a58345e INFO 2023-01-08 06:08:17,673 PID:7914] Added key: store_based_barrier_key:1 to store for rank: 3 [41798a58345e INFO 2023-01-08 06:08:17,672 PID:7908] Added key: store_based_barrier_key:1 to store for rank: 2 [41798a58345e INFO 2023-01-08 06:08:17,673 PID:7914] Rank 3: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:17,673 PID:7908] Rank 2: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:17,674 PID:7912] Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:17,674 PID:7906] Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:17,674 PID:7912] [Rank: 0] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:17,674 PID:7912] [Rank: 0] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:17,675 PID:7906] [Rank: 1] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:17,675 PID:7906] [Rank: 1] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:17,675 PID:7908] [Rank: 2] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:17,675 PID:7908] [Rank: 2] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:17,675 PID:7914] [Rank: 3] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:17,675 PID:7914] [Rank: 3] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:17,677 PID:7912] [Rank: 0] Reading file: /tmp/tmpidrcagfl/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:17,678 PID:7914] [Rank: 3] Reading file: /tmp/tmpidrcagfl/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:17,678 PID:7906] [Rank: 1] Reading file: /tmp/tmpidrcagfl/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:17,678 PID:7908] [Rank: 2] Reading file: /tmp/tmpidrcagfl/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:17,680 PID:7912] [Rank: 0] Reading file: /tmp/tmpidrcagfl/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:17,681 PID:7914] [Rank: 3] Reading file: /tmp/tmpidrcagfl/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:17,681 PID:7908] [Rank: 2] Reading file: /tmp/tmpidrcagfl/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:17,681 PID:7906] [Rank: 1] Reading file: /tmp/tmpidrcagfl/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:17,681 PID:7912] [Rank: 0] Reading file: /tmp/tmpidrcagfl/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:17,682 PID:7914] [Rank: 3] Reading file: /tmp/tmpidrcagfl/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:17,682 PID:7908] [Rank: 2] Reading file: /tmp/tmpidrcagfl/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:17,682 PID:7906] [Rank: 1] Reading file: /tmp/tmpidrcagfl/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:17,682 PID:7912] [Rank: 0] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:17,683 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,683 PID:7914] [Rank: 3] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:17,683 PID:7908] [Rank: 2] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:17,684 PID:7906] [Rank: 1] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:17,684 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,684 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,684 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,685 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:17,686 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:17,686 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:17,686 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:17,775 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,775 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,775 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,775 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,776 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:17,776 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:17,776 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:17,776 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:17,817 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,817 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,817 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,817 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,817 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:17,817 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:17,817 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:17,817 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/author/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:17,855 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,855 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,855 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,855 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,855 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:17,855 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:17,855 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:17,855 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:17,896 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,896 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,896 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,897 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,897 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:17,897 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:17,897 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:17,897 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:17,937 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,937 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,937 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,937 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,938 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:17,938 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:17,938 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:17,938 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/institution/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:17,976 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/feat-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,976 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/feat-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,976 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/feat-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,976 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/feat-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:17,977 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/feat-0.npy [41798a58345e INFO 2023-01-08 06:08:17,977 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/feat-1.npy [41798a58345e INFO 2023-01-08 06:08:17,977 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/feat-2.npy [41798a58345e INFO 2023-01-08 06:08:17,977 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/feat-3.npy [41798a58345e INFO 2023-01-08 06:08:18,018 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/label-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,018 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/label-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,018 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/label-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,018 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/label-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,018 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/label-2.npy [41798a58345e INFO 2023-01-08 06:08:18,019 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/label-3.npy [41798a58345e INFO 2023-01-08 06:08:18,019 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/label-1.npy [41798a58345e INFO 2023-01-08 06:08:18,019 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/label-0.npy [41798a58345e INFO 2023-01-08 06:08:18,058 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,058 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,058 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,058 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,058 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:08:18,058 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:08:18,058 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:08:18,058 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:08:18,098 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,098 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,098 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,098 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,099 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:18,099 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:18,099 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:18,099 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:18,137 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,137 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,137 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,137 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,137 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:18,137 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:18,137 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:18,137 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:18,178 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,178 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,178 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,178 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,178 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:18,178 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:18,178 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:18,178 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:18,220 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,220 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,220 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,220 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,220 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/year-1.npy [41798a58345e INFO 2023-01-08 06:08:18,220 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/year-0.npy [41798a58345e INFO 2023-01-08 06:08:18,220 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/year-2.npy [41798a58345e INFO 2023-01-08 06:08:18,220 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/node_data/paper/year-3.npy [41798a58345e INFO 2023-01-08 06:08:18,258 PID:7912] [Rank: 0] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7912] [Rank: 0] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7912] [Rank: 0] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7912] [Rank: 0] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7912] [Rank: 0] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7912] [Rank: 0] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7912] [Rank: 0] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7912] [Rank: 0] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7912] [Rank: 0] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,258 PID:7906] [Rank: 1] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7906] [Rank: 1] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7906] [Rank: 1] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7906] [Rank: 1] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7906] [Rank: 1] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7906] [Rank: 1] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7912] [Rank: 0] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7912] [Rank: 0] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7906] [Rank: 1] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7906] [Rank: 1] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7906] [Rank: 1] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7906] [Rank: 1] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7912] [Rank: 0] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7906] [Rank: 1] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7906] [Rank: 1] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7906] [Rank: 1] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7912] [Rank: 0] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7908] [Rank: 2] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7908] [Rank: 2] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7908] [Rank: 2] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7908] [Rank: 2] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7908] [Rank: 2] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7908] [Rank: 2] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7908] [Rank: 2] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7908] [Rank: 2] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7908] [Rank: 2] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7908] [Rank: 2] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7908] [Rank: 2] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7908] [Rank: 2] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7908] [Rank: 2] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7914] [Rank: 3] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7914] [Rank: 3] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7914] [Rank: 3] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7914] [Rank: 3] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7914] [Rank: 3] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7914] [Rank: 3] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7914] [Rank: 3] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7914] [Rank: 3] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7914] [Rank: 3] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7914] [Rank: 3] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7914] [Rank: 3] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7914] [Rank: 3] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7914] [Rank: 3] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,260 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:08:18,260 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:08:18,259 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:08:18,260 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:08:18,300 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,300 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,300 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,300 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,301 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:18,301 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:18,301 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:18,301 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:18,339 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,339 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,339 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,339 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,340 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:18,340 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:18,340 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:18,340 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:18,381 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,381 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,381 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,381 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,381 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:18,382 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:18,382 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:18,382 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:18,421 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,421 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,421 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,421 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,421 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:08:18,421 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:08:18,421 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:08:18,421 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/author:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:08:18,461 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/institution:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,461 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/institution:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,461 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/institution:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,461 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/institution:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,462 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/institution:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:08:18,462 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/institution:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:08:18,462 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/institution:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:08:18,462 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/institution:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:08:18,500 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:cites:paper/count-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,500 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:cites:paper/count-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,500 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:cites:paper/count-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,500 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:cites:paper/count-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,501 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:cites:paper/count-0.npy [41798a58345e INFO 2023-01-08 06:08:18,501 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:cites:paper/count-1.npy [41798a58345e INFO 2023-01-08 06:08:18,501 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:cites:paper/count-2.npy [41798a58345e INFO 2023-01-08 06:08:18,501 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:cites:paper/count-3.npy [41798a58345e INFO 2023-01-08 06:08:18,542 PID:7914] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:rev_writes:author/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,542 PID:7908] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:rev_writes:author/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,542 PID:7906] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:rev_writes:author/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,542 PID:7912] Reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:rev_writes:author/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:18,543 PID:7914] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [41798a58345e INFO 2023-01-08 06:08:18,543 PID:7908] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [41798a58345e INFO 2023-01-08 06:08:18,543 PID:7906] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [41798a58345e INFO 2023-01-08 06:08:18,543 PID:7912] Done reading from /tmp/tmpidrcagfl/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7912] [Rank: 0] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7912] [Rank: 0] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7912] [Rank: 0] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7912] [Rank: 0] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7912] [Rank: 0] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7912] [Rank: 0] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7912] [Rank: 0] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7912] [Rank: 0] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7906] [Rank: 1] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7906] [Rank: 1] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7906] [Rank: 1] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7906] [Rank: 1] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7906] [Rank: 1] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7906] [Rank: 1] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7906] [Rank: 1] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7906] [Rank: 1] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7908] [Rank: 2] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7908] [Rank: 2] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7908] [Rank: 2] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7908] [Rank: 2] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7908] [Rank: 2] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7908] [Rank: 2] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7908] [Rank: 2] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7908] [Rank: 2] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7914] [Rank: 3] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7914] [Rank: 3] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7914] [Rank: 3] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7914] [Rank: 3] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7914] [Rank: 3] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7914] [Rank: 3] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7914] [Rank: 3] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:18,581 PID:7914] [Rank: 3] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:18,582 PID:7912] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpidrcagfl/chunked-data/edge_index/author:affiliated_with:institution0.txt [41798a58345e INFO 2023-01-08 06:08:18,582 PID:7906] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpidrcagfl/chunked-data/edge_index/author:affiliated_with:institution1.txt [41798a58345e INFO 2023-01-08 06:08:18,582 PID:7914] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpidrcagfl/chunked-data/edge_index/author:affiliated_with:institution3.txt [41798a58345e INFO 2023-01-08 06:08:18,582 PID:7908] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpidrcagfl/chunked-data/edge_index/author:affiliated_with:institution2.txt [41798a58345e INFO 2023-01-08 06:08:18,583 PID:7912] Loading edges of etype[author:writes:paper] from /tmp/tmpidrcagfl/chunked-data/edge_index/author:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:08:18,583 PID:7906] Loading edges of etype[author:writes:paper] from /tmp/tmpidrcagfl/chunked-data/edge_index/author:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:08:18,583 PID:7908] Loading edges of etype[author:writes:paper] from /tmp/tmpidrcagfl/chunked-data/edge_index/author:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:08:18,583 PID:7914] Loading edges of etype[author:writes:paper] from /tmp/tmpidrcagfl/chunked-data/edge_index/author:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:08:18,584 PID:7908] Loading edges of etype[institution:writes:paper] from /tmp/tmpidrcagfl/chunked-data/edge_index/institution:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:08:18,585 PID:7912] Loading edges of etype[institution:writes:paper] from /tmp/tmpidrcagfl/chunked-data/edge_index/institution:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:08:18,585 PID:7906] Loading edges of etype[institution:writes:paper] from /tmp/tmpidrcagfl/chunked-data/edge_index/institution:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:08:18,585 PID:7914] Loading edges of etype[institution:writes:paper] from /tmp/tmpidrcagfl/chunked-data/edge_index/institution:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:08:18,586 PID:7908] Loading edges of etype[paper:cites:paper] from /tmp/tmpidrcagfl/chunked-data/edge_index/paper:cites:paper2.txt [41798a58345e INFO 2023-01-08 06:08:18,586 PID:7906] Loading edges of etype[paper:cites:paper] from /tmp/tmpidrcagfl/chunked-data/edge_index/paper:cites:paper1.txt [41798a58345e INFO 2023-01-08 06:08:18,586 PID:7912] Loading edges of etype[paper:cites:paper] from /tmp/tmpidrcagfl/chunked-data/edge_index/paper:cites:paper0.txt [41798a58345e INFO 2023-01-08 06:08:18,587 PID:7914] Loading edges of etype[paper:cites:paper] from /tmp/tmpidrcagfl/chunked-data/edge_index/paper:cites:paper3.txt [41798a58345e INFO 2023-01-08 06:08:18,588 PID:7908] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpidrcagfl/chunked-data/edge_index/paper:rev_writes:author2.txt [41798a58345e INFO 2023-01-08 06:08:18,589 PID:7906] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpidrcagfl/chunked-data/edge_index/paper:rev_writes:author1.txt [41798a58345e INFO 2023-01-08 06:08:18,589 PID:7912] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpidrcagfl/chunked-data/edge_index/paper:rev_writes:author0.txt [41798a58345e INFO 2023-01-08 06:08:18,589 PID:7914] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpidrcagfl/chunked-data/edge_index/paper:rev_writes:author3.txt [41798a58345e INFO 2023-01-08 06:08:18,589 PID:7908] [Rank: 2] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:18,590 PID:7908] Rank: 2 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(6000, 9000)], 'author:writes:paper/test_mask/0': [(6000, 9000)], 'author:writes:paper/train_mask/0': [(6000, 9000)], 'author:writes:paper/val_mask/0': [(6000, 9000)], 'author:writes:paper/year/0': [(6000, 9000)], 'institution:writes:paper/year/0': [(6000, 9000)], 'paper:cites:paper/count/0': [(12000, 18000)], 'paper:rev_writes:author/year/0': [(6000, 9000)]} [41798a58345e INFO 2023-01-08 06:08:18,590 PID:7908] [Rank: 2] Done reading dataset /tmp/tmpidrcagfl/chunked-data [41798a58345e INFO 2023-01-08 06:08:18,590 PID:7906] [Rank: 1] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:18,590 PID:7906] Rank: 1 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(3000, 6000)], 'author:writes:paper/test_mask/0': [(3000, 6000)], 'author:writes:paper/train_mask/0': [(3000, 6000)], 'author:writes:paper/val_mask/0': [(3000, 6000)], 'author:writes:paper/year/0': [(3000, 6000)], 'institution:writes:paper/year/0': [(3000, 6000)], 'paper:cites:paper/count/0': [(6000, 12000)], 'paper:rev_writes:author/year/0': [(3000, 6000)]} [41798a58345e INFO 2023-01-08 06:08:18,591 PID:7912] [Rank: 0] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:18,591 PID:7912] Rank: 0 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(0, 3000)], 'author:writes:paper/test_mask/0': [(0, 3000)], 'author:writes:paper/train_mask/0': [(0, 3000)], 'author:writes:paper/val_mask/0': [(0, 3000)], 'author:writes:paper/year/0': [(0, 3000)], 'institution:writes:paper/year/0': [(0, 3000)], 'paper:cites:paper/count/0': [(0, 6000)], 'paper:rev_writes:author/year/0': [(0, 3000)]} [41798a58345e INFO 2023-01-08 06:08:18,591 PID:7912] [Rank: 0] Done reading dataset /tmp/tmpidrcagfl/chunked-data [41798a58345e INFO 2023-01-08 06:08:18,590 PID:7906] [Rank: 1] Done reading dataset /tmp/tmpidrcagfl/chunked-data [41798a58345e INFO 2023-01-08 06:08:18,591 PID:7914] [Rank: 3] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:18,591 PID:7914] Rank: 3 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(9000, 12000)], 'author:writes:paper/test_mask/0': [(9000, 12000)], 'author:writes:paper/train_mask/0': [(9000, 12000)], 'author:writes:paper/val_mask/0': [(9000, 12000)], 'author:writes:paper/year/0': [(9000, 12000)], 'institution:writes:paper/year/0': [(9000, 12000)], 'paper:cites:paper/count/0': [(18000, 24000)], 'paper:rev_writes:author/year/0': [(9000, 12000)]} [41798a58345e INFO 2023-01-08 06:08:18,591 PID:7914] [Rank: 3] Done reading dataset /tmp/tmpidrcagfl/chunked-data [41798a58345e INFO 2023-01-08 06:08:18,785 PID:7906] [Rank: 1] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:18,785 PID:7906] [Rank: 1] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:18,786 PID:7906] [Rank: 1] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:18,786 PID:7908] [Rank: 2] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:18,786 PID:7908] [Rank: 2] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:18,786 PID:7912] [Rank: 0] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:18,786 PID:7912] [Rank: 0] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:18,786 PID:7908] [Rank: 2] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:18,787 PID:7912] [Rank: 0] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:18,789 PID:7914] [Rank: 3] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:18,789 PID:7914] [Rank: 3] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:18,790 PID:7914] [Rank: 3] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:18,975 PID:7906] [Rank: 1] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:18,975 PID:7912] [Rank: 0] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:18,975 PID:7908] [Rank: 2] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:18,975 PID:7914] [Rank: 3] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,163 PID:7912] [Rank: 0] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,163 PID:7914] [Rank: 3] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,163 PID:7906] [Rank: 1] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,164 PID:7908] [Rank: 2] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,354 PID:7912] [Rank: 0] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,354 PID:7914] [Rank: 3] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,354 PID:7906] [Rank: 1] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,355 PID:7908] [Rank: 2] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,517 PID:7914] [Rank: 3] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,517 PID:7912] [Rank: 0] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,517 PID:7908] [Rank: 2] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,517 PID:7906] [Rank: 1] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,670 PID:7912] [Rank: 0] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,670 PID:7908] [Rank: 2] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,670 PID:7906] [Rank: 1] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,670 PID:7914] [Rank: 3] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:19,842 PID:7906] [Rank: 1] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:19,842 PID:7908] [Rank: 2] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:19,842 PID:7912] [Rank: 0] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:19,842 PID:7914] [Rank: 3] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:20,019 PID:7906] [Rank: 1] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:20,020 PID:7914] [Rank: 3] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:20,020 PID:7912] [Rank: 0] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:20,020 PID:7908] [Rank: 2] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:20,204 PID:7914] [Rank: 3] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:20,204 PID:7906] [Rank: 1] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:20,204 PID:7908] [Rank: 2] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:20,204 PID:7912] [Rank: 0] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:20,383 PID:7914] [Rank: 3] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:20,383 PID:7912] [Rank: 0] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:20,383 PID:7906] [Rank: 1] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:20,383 PID:7908] [Rank: 2] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:20,545 PID:7908] [Rank: 2] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:20,545 PID:7912] [Rank: 0] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:20,545 PID:7906] [Rank: 1] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:20,545 PID:7914] [Rank: 3] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:20,711 PID:7912] [Rank: 0] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:20,711 PID:7906] [Rank: 1] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:20,711 PID:7908] [Rank: 2] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:20,711 PID:7914] [Rank: 3] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:20,901 PID:7912] [Rank: 0] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:20,901 PID:7908] [Rank: 2] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:20,902 PID:7914] [Rank: 3] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:20,902 PID:7906] [Rank: 1] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:21,076 PID:7914] [Rank: 3] Total time for feature exchange: 0:00:02.285078 [41798a58345e INFO 2023-01-08 06:08:21,076 PID:7912] [Rank: 0] Total time for feature exchange: 0:00:02.288547 [41798a58345e INFO 2023-01-08 06:08:21,076 PID:7908] [Rank: 2] Total time for feature exchange: 0:00:02.289115 [41798a58345e INFO 2023-01-08 06:08:21,076 PID:7906] [Rank: 1] Total time for feature exchange: 0:00:02.289706 [41798a58345e INFO 2023-01-08 06:08:21,076 PID:7914] [Rank: 3] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:21,076 PID:7906] [Rank: 1] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:21,076 PID:7906] [Rank: 1] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:21,076 PID:7914] [Rank: 3] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:21,076 PID:7912] [Rank: 0] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:21,076 PID:7912] [Rank: 0] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:21,077 PID:7908] [Rank: 2] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:21,077 PID:7908] [Rank: 2] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:21,524 PID:7908] [Rank: 2] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:21,524 PID:7906] [Rank: 1] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:21,524 PID:7914] [Rank: 3] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:21,524 PID:7912] [Rank: 0] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:21,905 PID:7912] [Rank: 0] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:21,905 PID:7914] [Rank: 3] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:21,905 PID:7906] [Rank: 1] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:21,905 PID:7908] [Rank: 2] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:22,257 PID:7908] [Rank: 2] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:22,257 PID:7914] [Rank: 3] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:22,257 PID:7906] [Rank: 1] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:22,257 PID:7912] [Rank: 0] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:22,653 PID:7912] [Rank: 0] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:22,653 PID:7908] [Rank: 2] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:22,653 PID:7906] [Rank: 1] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:22,653 PID:7914] [Rank: 3] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:23,046 PID:7914] [Rank: 3] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:23,046 PID:7906] [Rank: 1] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:23,046 PID:7912] [Rank: 0] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:23,046 PID:7908] [Rank: 2] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:23,422 PID:7908] [Rank: 2] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:08:23,422 PID:7906] [Rank: 1] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:08:23,422 PID:7914] [Rank: 3] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:08:23,422 PID:7912] [Rank: 0] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:08:23,811 PID:7908] [Rank: 2] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:08:23,811 PID:7914] [Rank: 3] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:08:23,811 PID:7912] [Rank: 0] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:08:23,811 PID:7906] [Rank: 1] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:08:24,201 PID:7912] [Rank: 0] Total time for feature exchange: 0:00:03.125075 [41798a58345e INFO 2023-01-08 06:08:24,202 PID:7912] [Rank: 0] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:08:24,201 PID:7906] [Rank: 1] Total time for feature exchange: 0:00:03.125275 [41798a58345e INFO 2023-01-08 06:08:24,202 PID:7906] [Rank: 1] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:08:24,201 PID:7914] [Rank: 3] Total time for feature exchange: 0:00:03.125263 [41798a58345e INFO 2023-01-08 06:08:24,202 PID:7914] [Rank: 3] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:08:24,201 PID:7908] [Rank: 2] Total time for feature exchange: 0:00:03.124695 [41798a58345e INFO 2023-01-08 06:08:24,202 PID:7908] [Rank: 2] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:08:24,476 PID:7912] [Rank: 0] Time to send/rcv edge data: 0:00:00.006016 [41798a58345e INFO 2023-01-08 06:08:24,476 PID:7914] [Rank: 3] Time to send/rcv edge data: 0:00:00.006299 [41798a58345e INFO 2023-01-08 06:08:24,476 PID:7908] [Rank: 2] Time to send/rcv edge data: 0:00:00.006364 [41798a58345e INFO 2023-01-08 06:08:24,476 PID:7906] [Rank: 1] Time to send/rcv edge data: 0:00:00.006178 [41798a58345e INFO 2023-01-08 06:08:24,508 PID:7908] [Rank: 2] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:08:24,525 PID:7908] [Rank: 2] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:08:24,551 PID:7914] [Rank: 3] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:08:24,551 PID:7906] [Rank: 1] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:08:24,559 PID:7912] [Rank: 0] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:08:24,593 PID:7906] [Rank: 1] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:08:24,594 PID:7914] [Rank: 3] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:08:24,601 PID:7912] [Rank: 0] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:08:24,602 PID:7914] [Rank: 3] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:08:24,603 PID:7912] [Rank: 0] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:08:24,603 PID:7906] [Rank: 1] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:08:24,603 PID:7908] [Rank: 2] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:08:24,652 PID:7914] [Rank: 3] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:08:24,652 PID:7908] [Rank: 2] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:08:24,652 PID:7906] [Rank: 1] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:08:24,652 PID:7912] [Rank: 0] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:08:24,824 PID:7908] [Rank: 2] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:08:24,824 PID:7912] [Rank: 0] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:08:24,824 PID:7914] [Rank: 3] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:08:24,824 PID:7906] [Rank: 1] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:08:25,022 PID:7908] There are 15754 edges in partition 2 [41798a58345e INFO 2023-01-08 06:08:25,068 PID:7912] There are 16289 edges in partition 0 [41798a58345e INFO 2023-01-08 06:08:25,146 PID:7906] There are 15151 edges in partition 1 [41798a58345e INFO 2023-01-08 06:08:25,147 PID:7914] There are 15206 edges in partition 3 [41798a58345e INFO 2023-01-08 06:08:25,198 PID:7906] [Rank: 1] Time to create dgl objects: 0:00:00.373393 [41798a58345e INFO 2023-01-08 06:08:25,198 PID:7914] [Rank: 3] Time to create dgl objects: 0:00:00.373428 [41798a58345e INFO 2023-01-08 06:08:25,198 PID:7908] [Rank: 2] Time to create dgl objects: 0:00:00.374021 [41798a58345e INFO 2023-01-08 06:08:25,198 PID:7906] [Rank: 1] Total execution time of the program: 0:00:07.523027 [41798a58345e INFO 2023-01-08 06:08:25,198 PID:7908] [Rank: 2] Total execution time of the program: 0:00:07.523150 [41798a58345e INFO 2023-01-08 06:08:25,198 PID:7914] [Rank: 3] Total execution time of the program: 0:00:07.523156 [41798a58345e INFO 2023-01-08 06:08:25,199 PID:7906] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:08:25,199 PID:7908] [Rank: 2] Done with Distributed data processing pipeline processing. [41798a58345e INFO 2023-01-08 06:08:25,199 PID:7912] [Rank: 0] Time to create dgl objects: 0:00:00.374554 [41798a58345e INFO 2023-01-08 06:08:25,199 PID:7914] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [Rank: 3 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:08:25,199 PID:7912] [Rank: 0] Total execution time of the program: 0:00:07.524921 [41798a58345e INFO 2023-01-08 06:08:25,199 PID:7912] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 68%] tests/tools/test_dist_part.py::test_pipeline_formats[coo,csc,csr] Done with creating chunked graph INFO:root:Changing directory to /tmp/tmp9moz64sd/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4483@7 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4483@7 /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp9moz64sd/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp9moz64sd/parted_data --input-dir /tmp/tmp9moz64sd/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp9moz64sd/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc,csr " (export DGL_IP_CONFIG=/tmp/tmp9moz64sd/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp9moz64sd/parted_data --input-dir /tmp/tmp9moz64sd/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp9moz64sd/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc,csr ) (export DGL_IP_CONFIG=/tmp/tmp9moz64sd/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp9moz64sd/parted_data --input-dir /tmp/tmp9moz64sd/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp9moz64sd/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc,csr ) (export DGL_IP_CONFIG=/tmp/tmp9moz64sd/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp9moz64sd/parted_data --input-dir /tmp/tmp9moz64sd/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp9moz64sd/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc,csr ) (export DGL_IP_CONFIG=/tmp/tmp9moz64sd/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp9moz64sd/parted_data --input-dir /tmp/tmp9moz64sd/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp9moz64sd/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids --graph-formats coo,csc,csr ) cleanupu process runs [41798a58345e INFO 2023-01-08 06:08:29,492 PID:8551] Added key: store_based_barrier_key:1 to store for rank: 1 [41798a58345e INFO 2023-01-08 06:08:29,498 PID:8550] Added key: store_based_barrier_key:1 to store for rank: 0 [41798a58345e INFO 2023-01-08 06:08:29,503 PID:8549] Added key: store_based_barrier_key:1 to store for rank: 2 [41798a58345e INFO 2023-01-08 06:08:29,503 PID:8551] Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:29,503 PID:8553] Added key: store_based_barrier_key:1 to store for rank: 3 [41798a58345e INFO 2023-01-08 06:08:29,503 PID:8549] Rank 2: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:29,503 PID:8553] Rank 3: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:29,508 PID:8550] Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:29,509 PID:8550] [Rank: 0] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:29,509 PID:8550] [Rank: 0] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:29,509 PID:8553] [Rank: 3] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:29,509 PID:8551] [Rank: 1] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:29,509 PID:8549] [Rank: 2] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:29,509 PID:8553] [Rank: 3] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:29,509 PID:8551] [Rank: 1] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:29,509 PID:8549] [Rank: 2] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:29,511 PID:8551] [Rank: 1] Reading file: /tmp/tmp9moz64sd/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:29,511 PID:8550] [Rank: 0] Reading file: /tmp/tmp9moz64sd/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:29,512 PID:8549] [Rank: 2] Reading file: /tmp/tmp9moz64sd/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:29,512 PID:8553] [Rank: 3] Reading file: /tmp/tmp9moz64sd/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:29,513 PID:8551] [Rank: 1] Reading file: /tmp/tmp9moz64sd/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:29,514 PID:8551] [Rank: 1] Reading file: /tmp/tmp9moz64sd/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:29,514 PID:8549] [Rank: 2] Reading file: /tmp/tmp9moz64sd/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:29,514 PID:8550] [Rank: 0] Reading file: /tmp/tmp9moz64sd/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:29,514 PID:8553] [Rank: 3] Reading file: /tmp/tmp9moz64sd/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:29,515 PID:8551] [Rank: 1] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:29,515 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,515 PID:8550] [Rank: 0] Reading file: /tmp/tmp9moz64sd/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:29,516 PID:8549] [Rank: 2] Reading file: /tmp/tmp9moz64sd/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:29,516 PID:8553] [Rank: 3] Reading file: /tmp/tmp9moz64sd/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:29,517 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:29,517 PID:8550] [Rank: 0] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:29,517 PID:8549] [Rank: 2] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:29,517 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,517 PID:8553] [Rank: 3] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:29,518 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,518 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,519 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:29,519 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:29,520 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:29,582 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,582 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,582 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,582 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,582 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:29,582 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:29,582 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:29,582 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:29,618 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,618 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,618 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,618 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,619 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:29,619 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:29,619 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:29,619 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/author/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:29,655 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,655 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,655 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,655 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,655 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:29,655 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:29,655 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:29,655 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:29,692 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,691 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,691 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,691 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,692 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:29,692 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:29,692 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:29,692 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:29,728 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,728 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,728 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,728 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,728 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:29,728 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:29,728 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:29,728 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/institution/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:29,765 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/feat-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,765 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/feat-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,765 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/feat-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,764 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/feat-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,765 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/feat-1.npy [41798a58345e INFO 2023-01-08 06:08:29,765 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/feat-3.npy [41798a58345e INFO 2023-01-08 06:08:29,765 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/feat-0.npy [41798a58345e INFO 2023-01-08 06:08:29,765 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/feat-2.npy [41798a58345e INFO 2023-01-08 06:08:29,801 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/label-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,801 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/label-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,801 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/label-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,801 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/label-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,802 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/label-1.npy [41798a58345e INFO 2023-01-08 06:08:29,802 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/label-3.npy [41798a58345e INFO 2023-01-08 06:08:29,802 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/label-0.npy [41798a58345e INFO 2023-01-08 06:08:29,802 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/label-2.npy [41798a58345e INFO 2023-01-08 06:08:29,838 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,838 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,838 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,838 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,838 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:08:29,838 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:08:29,838 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:08:29,838 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:08:29,874 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,874 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,874 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,874 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,875 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:29,875 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:29,875 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:29,875 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:29,911 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,911 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,911 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,911 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,911 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:29,911 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:29,911 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:29,911 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:29,947 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,947 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,947 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,947 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,948 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:29,948 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:29,948 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:29,948 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:29,984 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,984 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,984 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,984 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:29,984 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/year-1.npy [41798a58345e INFO 2023-01-08 06:08:29,984 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/year-2.npy [41798a58345e INFO 2023-01-08 06:08:29,984 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/year-0.npy [41798a58345e INFO 2023-01-08 06:08:29,984 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/node_data/paper/year-3.npy [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8551] [Rank: 1] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8551] [Rank: 1] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8551] [Rank: 1] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8551] [Rank: 1] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8551] [Rank: 1] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8551] [Rank: 1] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8551] [Rank: 1] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8551] [Rank: 1] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8551] [Rank: 1] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8551] [Rank: 1] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8551] [Rank: 1] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8551] [Rank: 1] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8549] [Rank: 2] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8549] [Rank: 2] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8549] [Rank: 2] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8549] [Rank: 2] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8549] [Rank: 2] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8549] [Rank: 2] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8549] [Rank: 2] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8549] [Rank: 2] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8551] [Rank: 1] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8553] [Rank: 3] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8553] [Rank: 3] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8553] [Rank: 3] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8553] [Rank: 3] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8553] [Rank: 3] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8553] [Rank: 3] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8549] [Rank: 2] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8549] [Rank: 2] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8549] [Rank: 2] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8549] [Rank: 2] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8549] [Rank: 2] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8553] [Rank: 3] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8553] [Rank: 3] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8553] [Rank: 3] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8553] [Rank: 3] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8553] [Rank: 3] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8553] [Rank: 3] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8553] [Rank: 3] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8550] [Rank: 0] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8550] [Rank: 0] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8550] [Rank: 0] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8550] [Rank: 0] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8550] [Rank: 0] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8550] [Rank: 0] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8550] [Rank: 0] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:30,020 PID:8550] [Rank: 0] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8550] [Rank: 0] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8550] [Rank: 0] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8550] [Rank: 0] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8550] [Rank: 0] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8550] [Rank: 0] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:08:30,021 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:08:30,057 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,057 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,057 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,057 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,058 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:30,058 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:30,058 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:30,058 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:30,094 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,094 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,094 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,094 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,094 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:30,094 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:30,094 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:30,094 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:30,130 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,130 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,130 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,130 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,131 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:30,131 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:30,131 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:30,131 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:30,167 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,167 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,167 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,167 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,167 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:08:30,167 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:08:30,167 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:08:30,167 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/author:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:08:30,203 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/institution:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,203 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/institution:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,203 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/institution:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,203 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/institution:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,204 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/institution:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:08:30,204 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/institution:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:08:30,204 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/institution:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:08:30,204 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/institution:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:08:30,240 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:cites:paper/count-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,240 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:cites:paper/count-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,240 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:cites:paper/count-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,240 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:cites:paper/count-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,241 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:cites:paper/count-3.npy [41798a58345e INFO 2023-01-08 06:08:30,241 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:cites:paper/count-0.npy [41798a58345e INFO 2023-01-08 06:08:30,241 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:cites:paper/count-1.npy [41798a58345e INFO 2023-01-08 06:08:30,241 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:cites:paper/count-2.npy [41798a58345e INFO 2023-01-08 06:08:30,277 PID:8551] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:rev_writes:author/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,277 PID:8553] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:rev_writes:author/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,277 PID:8549] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:rev_writes:author/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,277 PID:8550] Reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:rev_writes:author/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:30,277 PID:8551] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [41798a58345e INFO 2023-01-08 06:08:30,277 PID:8553] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [41798a58345e INFO 2023-01-08 06:08:30,277 PID:8550] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [41798a58345e INFO 2023-01-08 06:08:30,277 PID:8549] Done reading from /tmp/tmp9moz64sd/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [41798a58345e INFO 2023-01-08 06:08:30,313 PID:8551] [Rank: 1] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8551] [Rank: 1] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8551] [Rank: 1] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8551] [Rank: 1] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8551] [Rank: 1] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8551] [Rank: 1] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8551] [Rank: 1] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8551] [Rank: 1] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,313 PID:8553] [Rank: 3] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8553] [Rank: 3] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8553] [Rank: 3] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8553] [Rank: 3] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8553] [Rank: 3] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8553] [Rank: 3] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8553] [Rank: 3] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8553] [Rank: 3] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,313 PID:8549] [Rank: 2] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8549] [Rank: 2] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8549] [Rank: 2] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8549] [Rank: 2] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8549] [Rank: 2] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8549] [Rank: 2] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8549] [Rank: 2] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8549] [Rank: 2] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,313 PID:8550] [Rank: 0] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8550] [Rank: 0] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8550] [Rank: 0] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8550] [Rank: 0] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8550] [Rank: 0] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8550] [Rank: 0] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8550] [Rank: 0] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8550] [Rank: 0] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8551] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp9moz64sd/chunked-data/edge_index/author:affiliated_with:institution1.txt [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8553] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp9moz64sd/chunked-data/edge_index/author:affiliated_with:institution3.txt [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8549] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp9moz64sd/chunked-data/edge_index/author:affiliated_with:institution2.txt [41798a58345e INFO 2023-01-08 06:08:30,314 PID:8550] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp9moz64sd/chunked-data/edge_index/author:affiliated_with:institution0.txt [41798a58345e INFO 2023-01-08 06:08:30,315 PID:8549] Loading edges of etype[author:writes:paper] from /tmp/tmp9moz64sd/chunked-data/edge_index/author:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:08:30,315 PID:8551] Loading edges of etype[author:writes:paper] from /tmp/tmp9moz64sd/chunked-data/edge_index/author:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:08:30,315 PID:8550] Loading edges of etype[author:writes:paper] from /tmp/tmp9moz64sd/chunked-data/edge_index/author:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:08:30,315 PID:8553] Loading edges of etype[author:writes:paper] from /tmp/tmp9moz64sd/chunked-data/edge_index/author:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:08:30,316 PID:8549] Loading edges of etype[institution:writes:paper] from /tmp/tmp9moz64sd/chunked-data/edge_index/institution:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:08:30,316 PID:8551] Loading edges of etype[institution:writes:paper] from /tmp/tmp9moz64sd/chunked-data/edge_index/institution:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:08:30,316 PID:8550] Loading edges of etype[institution:writes:paper] from /tmp/tmp9moz64sd/chunked-data/edge_index/institution:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:08:30,316 PID:8553] Loading edges of etype[institution:writes:paper] from /tmp/tmp9moz64sd/chunked-data/edge_index/institution:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:08:30,317 PID:8549] Loading edges of etype[paper:cites:paper] from /tmp/tmp9moz64sd/chunked-data/edge_index/paper:cites:paper2.txt [41798a58345e INFO 2023-01-08 06:08:30,317 PID:8551] Loading edges of etype[paper:cites:paper] from /tmp/tmp9moz64sd/chunked-data/edge_index/paper:cites:paper1.txt [41798a58345e INFO 2023-01-08 06:08:30,317 PID:8550] Loading edges of etype[paper:cites:paper] from /tmp/tmp9moz64sd/chunked-data/edge_index/paper:cites:paper0.txt [41798a58345e INFO 2023-01-08 06:08:30,318 PID:8553] Loading edges of etype[paper:cites:paper] from /tmp/tmp9moz64sd/chunked-data/edge_index/paper:cites:paper3.txt [41798a58345e INFO 2023-01-08 06:08:30,318 PID:8549] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp9moz64sd/chunked-data/edge_index/paper:rev_writes:author2.txt [41798a58345e INFO 2023-01-08 06:08:30,319 PID:8550] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp9moz64sd/chunked-data/edge_index/paper:rev_writes:author0.txt [41798a58345e INFO 2023-01-08 06:08:30,319 PID:8551] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp9moz64sd/chunked-data/edge_index/paper:rev_writes:author1.txt [41798a58345e INFO 2023-01-08 06:08:30,319 PID:8549] [Rank: 2] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:30,319 PID:8549] Rank: 2 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(6000, 9000)], 'author:writes:paper/test_mask/0': [(6000, 9000)], 'author:writes:paper/train_mask/0': [(6000, 9000)], 'author:writes:paper/val_mask/0': [(6000, 9000)], 'author:writes:paper/year/0': [(6000, 9000)], 'institution:writes:paper/year/0': [(6000, 9000)], 'paper:cites:paper/count/0': [(12000, 18000)], 'paper:rev_writes:author/year/0': [(6000, 9000)]} [41798a58345e INFO 2023-01-08 06:08:30,319 PID:8549] [Rank: 2] Done reading dataset /tmp/tmp9moz64sd/chunked-data [41798a58345e INFO 2023-01-08 06:08:30,319 PID:8553] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp9moz64sd/chunked-data/edge_index/paper:rev_writes:author3.txt [41798a58345e INFO 2023-01-08 06:08:30,320 PID:8551] [Rank: 1] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:30,320 PID:8550] [Rank: 0] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:30,320 PID:8550] Rank: 0 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(0, 3000)], 'author:writes:paper/test_mask/0': [(0, 3000)], 'author:writes:paper/train_mask/0': [(0, 3000)], 'author:writes:paper/val_mask/0': [(0, 3000)], 'author:writes:paper/year/0': [(0, 3000)], 'institution:writes:paper/year/0': [(0, 3000)], 'paper:cites:paper/count/0': [(0, 6000)], 'paper:rev_writes:author/year/0': [(0, 3000)]} [41798a58345e INFO 2023-01-08 06:08:30,320 PID:8550] [Rank: 0] Done reading dataset /tmp/tmp9moz64sd/chunked-data [41798a58345e INFO 2023-01-08 06:08:30,320 PID:8553] [Rank: 3] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:30,320 PID:8551] Rank: 1 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(3000, 6000)], 'author:writes:paper/test_mask/0': [(3000, 6000)], 'author:writes:paper/train_mask/0': [(3000, 6000)], 'author:writes:paper/val_mask/0': [(3000, 6000)], 'author:writes:paper/year/0': [(3000, 6000)], 'institution:writes:paper/year/0': [(3000, 6000)], 'paper:cites:paper/count/0': [(6000, 12000)], 'paper:rev_writes:author/year/0': [(3000, 6000)]} [41798a58345e INFO 2023-01-08 06:08:30,320 PID:8551] [Rank: 1] Done reading dataset /tmp/tmp9moz64sd/chunked-data [41798a58345e INFO 2023-01-08 06:08:30,320 PID:8553] Rank: 3 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(9000, 12000)], 'author:writes:paper/test_mask/0': [(9000, 12000)], 'author:writes:paper/train_mask/0': [(9000, 12000)], 'author:writes:paper/val_mask/0': [(9000, 12000)], 'author:writes:paper/year/0': [(9000, 12000)], 'institution:writes:paper/year/0': [(9000, 12000)], 'paper:cites:paper/count/0': [(18000, 24000)], 'paper:rev_writes:author/year/0': [(9000, 12000)]} [41798a58345e INFO 2023-01-08 06:08:30,320 PID:8553] [Rank: 3] Done reading dataset /tmp/tmp9moz64sd/chunked-data [41798a58345e INFO 2023-01-08 06:08:30,533 PID:8550] [Rank: 0] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:30,534 PID:8550] [Rank: 0] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:30,534 PID:8550] [Rank: 0] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:30,534 PID:8551] [Rank: 1] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:30,534 PID:8551] [Rank: 1] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:30,534 PID:8553] [Rank: 3] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:30,534 PID:8553] [Rank: 3] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:30,534 PID:8549] [Rank: 2] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:30,534 PID:8549] [Rank: 2] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:30,534 PID:8549] [Rank: 2] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:30,535 PID:8553] [Rank: 3] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:30,535 PID:8551] [Rank: 1] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:30,692 PID:8550] [Rank: 0] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:30,692 PID:8551] [Rank: 1] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:30,692 PID:8553] [Rank: 3] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:30,692 PID:8549] [Rank: 2] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:30,852 PID:8553] [Rank: 3] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:30,852 PID:8550] [Rank: 0] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:30,852 PID:8549] [Rank: 2] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:30,852 PID:8551] [Rank: 1] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,004 PID:8549] [Rank: 2] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,004 PID:8550] [Rank: 0] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,004 PID:8553] [Rank: 3] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,004 PID:8551] [Rank: 1] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,164 PID:8551] [Rank: 1] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,164 PID:8553] [Rank: 3] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,164 PID:8549] [Rank: 2] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,164 PID:8550] [Rank: 0] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,323 PID:8549] [Rank: 2] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,323 PID:8551] [Rank: 1] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,323 PID:8550] [Rank: 0] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,323 PID:8553] [Rank: 3] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,481 PID:8549] [Rank: 2] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:31,481 PID:8551] [Rank: 1] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:31,481 PID:8553] [Rank: 3] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:31,481 PID:8550] [Rank: 0] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:31,648 PID:8553] [Rank: 3] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:31,648 PID:8549] [Rank: 2] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:31,648 PID:8551] [Rank: 1] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:31,648 PID:8550] [Rank: 0] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:31,810 PID:8549] [Rank: 2] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:31,810 PID:8553] [Rank: 3] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:31,810 PID:8551] [Rank: 1] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:31,810 PID:8550] [Rank: 0] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:31,973 PID:8551] [Rank: 1] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,973 PID:8550] [Rank: 0] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,973 PID:8553] [Rank: 3] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:31,973 PID:8549] [Rank: 2] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:32,127 PID:8551] [Rank: 1] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:32,127 PID:8549] [Rank: 2] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:32,127 PID:8550] [Rank: 0] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:32,127 PID:8553] [Rank: 3] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:32,287 PID:8549] [Rank: 2] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:32,287 PID:8553] [Rank: 3] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:32,287 PID:8550] [Rank: 0] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:32,287 PID:8551] [Rank: 1] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:32,446 PID:8553] [Rank: 3] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:32,446 PID:8549] [Rank: 2] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:32,446 PID:8550] [Rank: 0] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:32,446 PID:8551] [Rank: 1] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:32,594 PID:8550] [Rank: 0] Total time for feature exchange: 0:00:02.060045 [41798a58345e INFO 2023-01-08 06:08:32,594 PID:8549] [Rank: 2] Total time for feature exchange: 0:00:02.059803 [41798a58345e INFO 2023-01-08 06:08:32,594 PID:8553] [Rank: 3] Total time for feature exchange: 0:00:02.059401 [41798a58345e INFO 2023-01-08 06:08:32,594 PID:8551] [Rank: 1] Total time for feature exchange: 0:00:02.059354 [41798a58345e INFO 2023-01-08 06:08:32,594 PID:8549] [Rank: 2] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:32,595 PID:8549] [Rank: 2] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:32,595 PID:8550] [Rank: 0] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:32,595 PID:8550] [Rank: 0] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:32,595 PID:8551] [Rank: 1] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:32,595 PID:8551] [Rank: 1] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:32,595 PID:8553] [Rank: 3] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:32,595 PID:8553] [Rank: 3] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:32,969 PID:8551] [Rank: 1] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:32,969 PID:8553] [Rank: 3] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:32,969 PID:8550] [Rank: 0] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:32,969 PID:8549] [Rank: 2] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:33,325 PID:8551] [Rank: 1] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:33,325 PID:8550] [Rank: 0] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:33,325 PID:8549] [Rank: 2] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:33,325 PID:8553] [Rank: 3] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:33,697 PID:8549] [Rank: 2] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:33,697 PID:8553] [Rank: 3] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:33,697 PID:8550] [Rank: 0] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:33,697 PID:8551] [Rank: 1] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:34,052 PID:8551] [Rank: 1] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:34,052 PID:8550] [Rank: 0] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:34,052 PID:8549] [Rank: 2] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:34,052 PID:8553] [Rank: 3] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:34,413 PID:8553] [Rank: 3] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:34,413 PID:8549] [Rank: 2] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:34,413 PID:8551] [Rank: 1] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:34,413 PID:8550] [Rank: 0] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:34,843 PID:8550] [Rank: 0] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:08:34,843 PID:8549] [Rank: 2] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:08:34,843 PID:8551] [Rank: 1] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:08:34,843 PID:8553] [Rank: 3] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:08:35,302 PID:8550] [Rank: 0] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:08:35,302 PID:8553] [Rank: 3] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:08:35,302 PID:8551] [Rank: 1] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:08:35,302 PID:8549] [Rank: 2] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:08:35,683 PID:8553] [Rank: 3] Total time for feature exchange: 0:00:03.087807 [41798a58345e INFO 2023-01-08 06:08:35,683 PID:8553] [Rank: 3] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:08:35,683 PID:8550] [Rank: 0] Total time for feature exchange: 0:00:03.087983 [41798a58345e INFO 2023-01-08 06:08:35,683 PID:8550] [Rank: 0] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:08:35,683 PID:8551] [Rank: 1] Total time for feature exchange: 0:00:03.087937 [41798a58345e INFO 2023-01-08 06:08:35,683 PID:8551] [Rank: 1] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:08:35,683 PID:8549] [Rank: 2] Total time for feature exchange: 0:00:03.088429 [41798a58345e INFO 2023-01-08 06:08:35,683 PID:8549] [Rank: 2] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:08:35,978 PID:8550] [Rank: 0] Time to send/rcv edge data: 0:00:00.005959 [41798a58345e INFO 2023-01-08 06:08:35,978 PID:8549] [Rank: 2] Time to send/rcv edge data: 0:00:00.006208 [41798a58345e INFO 2023-01-08 06:08:35,978 PID:8553] [Rank: 3] Time to send/rcv edge data: 0:00:00.006127 [41798a58345e INFO 2023-01-08 06:08:35,978 PID:8551] [Rank: 1] Time to send/rcv edge data: 0:00:00.004894 [41798a58345e INFO 2023-01-08 06:08:36,009 PID:8549] [Rank: 2] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:08:36,026 PID:8549] [Rank: 2] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:08:36,051 PID:8553] [Rank: 3] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:08:36,070 PID:8550] [Rank: 0] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:08:36,084 PID:8553] [Rank: 3] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:08:36,086 PID:8551] [Rank: 1] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:08:36,113 PID:8550] [Rank: 0] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:08:36,114 PID:8551] [Rank: 1] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:08:36,115 PID:8550] [Rank: 0] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:08:36,115 PID:8551] [Rank: 1] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:08:36,115 PID:8553] [Rank: 3] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:08:36,115 PID:8549] [Rank: 2] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:08:36,191 PID:8553] [Rank: 3] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:08:36,191 PID:8549] [Rank: 2] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:08:36,191 PID:8550] [Rank: 0] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:08:36,191 PID:8551] [Rank: 1] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:08:36,401 PID:8549] [Rank: 2] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:08:36,401 PID:8553] [Rank: 3] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:08:36,401 PID:8550] [Rank: 0] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:08:36,401 PID:8551] [Rank: 1] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:08:36,716 PID:8551] There are 15505 edges in partition 1 [41798a58345e INFO 2023-01-08 06:08:36,755 PID:8553] There are 15970 edges in partition 3 [41798a58345e INFO 2023-01-08 06:08:36,762 PID:8549] There are 15661 edges in partition 2 [41798a58345e INFO 2023-01-08 06:08:36,804 PID:8550] There are 15264 edges in partition 0 [41798a58345e INFO 2023-01-08 06:08:36,821 PID:8551] [Rank: 1] Time to create dgl objects: 0:00:00.419338 [41798a58345e INFO 2023-01-08 06:08:36,821 PID:8549] [Rank: 2] Time to create dgl objects: 0:00:00.420009 [41798a58345e INFO 2023-01-08 06:08:36,821 PID:8553] [Rank: 3] Time to create dgl objects: 0:00:00.419667 [41798a58345e INFO 2023-01-08 06:08:36,821 PID:8551] [Rank: 1] Total execution time of the program: 0:00:07.312405 [41798a58345e INFO 2023-01-08 06:08:36,821 PID:8549] [Rank: 2] Total execution time of the program: 0:00:07.312375 [41798a58345e INFO 2023-01-08 06:08:36,822 PID:8551] [Rank: 1] Done with Distributed data processing pipeline processing. [41798a58345e INFO 2023-01-08 06:08:36,822 PID:8549] [Rank: 2] Done with Distributed data processing pipeline processing. [41798a58345e INFO 2023-01-08 06:08:36,822 PID:8553] [Rank: 3] Total execution time of the program: 0:00:07.312836 [Rank: 2 Edge data is already sorted !!! [Rank: 1 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:08:36,822 PID:8550] [Rank: 0] Time to create dgl objects: 0:00:00.420166 [41798a58345e INFO 2023-01-08 06:08:36,822 PID:8550] [Rank: 0] Total execution time of the program: 0:00:07.313119 [41798a58345e INFO 2023-01-08 06:08:36,822 PID:8550] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:08:36,823 PID:8553] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 3 Edge data is already sorted !!! PASSED [ 70%] tests/tools/test_dist_part.py::test_pipeline_arbitray_chunks[8-4-2-20-25] Done with creating chunked graph INFO:root:Changing directory to /tmp/tmpg_gjb9sv/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4483@7 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4483@7 /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpg_gjb9sv/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpg_gjb9sv/parted_data --input-dir /tmp/tmpg_gjb9sv/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpg_gjb9sv/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpg_gjb9sv/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpg_gjb9sv/parted_data --input-dir /tmp/tmpg_gjb9sv/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpg_gjb9sv/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpg_gjb9sv/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpg_gjb9sv/parted_data --input-dir /tmp/tmpg_gjb9sv/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpg_gjb9sv/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs [41798a58345e INFO 2023-01-08 06:08:41,963 PID:9154] Added key: store_based_barrier_key:1 to store for rank: 0 [41798a58345e INFO 2023-01-08 06:08:41,963 PID:9154] Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 2 nodes. [41798a58345e INFO 2023-01-08 06:08:41,963 PID:9151] Added key: store_based_barrier_key:1 to store for rank: 1 [41798a58345e INFO 2023-01-08 06:08:41,963 PID:9151] Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 2 nodes. [41798a58345e INFO 2023-01-08 06:08:41,963 PID:9154] [Rank: 0] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:41,964 PID:9154] [Rank: 0] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:41,964 PID:9151] [Rank: 1] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:41,964 PID:9151] [Rank: 1] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:41,966 PID:9154] [Rank: 0] Reading file: /tmp/tmpg_gjb9sv/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:41,967 PID:9151] [Rank: 1] Reading file: /tmp/tmpg_gjb9sv/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:41,969 PID:9154] [Rank: 0] Reading file: /tmp/tmpg_gjb9sv/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:41,970 PID:9151] [Rank: 1] Reading file: /tmp/tmpg_gjb9sv/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:41,970 PID:9154] [Rank: 0] Reading file: /tmp/tmpg_gjb9sv/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:41,971 PID:9151] [Rank: 1] Reading file: /tmp/tmpg_gjb9sv/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:41,971 PID:9154] [Rank: 0] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:41,972 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,972 PID:9151] [Rank: 1] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:41,973 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,973 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:41,973 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,974 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-10.npy [41798a58345e INFO 2023-01-08 06:08:41,974 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:41,974 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,974 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,975 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:41,975 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,975 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-11.npy [41798a58345e INFO 2023-01-08 06:08:41,976 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,976 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:41,976 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,976 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-12.npy [41798a58345e INFO 2023-01-08 06:08:41,977 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,977 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:08:41,977 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,978 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-13.npy [41798a58345e INFO 2023-01-08 06:08:41,978 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,978 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:08:41,978 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,979 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-14.npy [41798a58345e INFO 2023-01-08 06:08:41,979 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,979 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:08:41,979 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,979 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-15.npy [41798a58345e INFO 2023-01-08 06:08:41,980 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,980 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:08:41,980 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,980 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-16.npy [41798a58345e INFO 2023-01-08 06:08:41,981 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,981 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:08:41,981 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,981 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-17.npy [41798a58345e INFO 2023-01-08 06:08:41,982 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,982 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-9.npy [41798a58345e INFO 2023-01-08 06:08:41,982 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-18.npy [41798a58345e INFO 2023-01-08 06:08:41,982 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:41,983 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/test_mask-19.npy [41798a58345e INFO 2023-01-08 06:08:42,066 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,066 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,066 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:42,066 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-10.npy [41798a58345e INFO 2023-01-08 06:08:42,066 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,066 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,066 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-11.npy [41798a58345e INFO 2023-01-08 06:08:42,066 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:42,066 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,066 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,067 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-12.npy [41798a58345e INFO 2023-01-08 06:08:42,067 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:42,067 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,067 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,067 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-13.npy [41798a58345e INFO 2023-01-08 06:08:42,067 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:42,067 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,067 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,067 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-14.npy [41798a58345e INFO 2023-01-08 06:08:42,067 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:08:42,067 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,067 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,067 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-15.npy [41798a58345e INFO 2023-01-08 06:08:42,067 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:08:42,068 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,068 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,068 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-16.npy [41798a58345e INFO 2023-01-08 06:08:42,068 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:08:42,068 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,068 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,068 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-17.npy [41798a58345e INFO 2023-01-08 06:08:42,068 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:08:42,068 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,068 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,068 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-18.npy [41798a58345e INFO 2023-01-08 06:08:42,068 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:08:42,068 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,068 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,068 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-19.npy [41798a58345e INFO 2023-01-08 06:08:42,069 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/train_mask-9.npy [41798a58345e INFO 2023-01-08 06:08:42,094 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,094 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,095 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:42,095 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,095 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-10.npy [41798a58345e INFO 2023-01-08 06:08:42,095 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,095 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-11.npy [41798a58345e INFO 2023-01-08 06:08:42,095 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:42,095 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,095 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,095 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-12.npy [41798a58345e INFO 2023-01-08 06:08:42,095 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:42,095 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,095 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-13.npy [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-14.npy [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-15.npy [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-16.npy [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:08:42,096 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,097 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-17.npy [41798a58345e INFO 2023-01-08 06:08:42,097 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,097 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:08:42,097 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,097 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-18.npy [41798a58345e INFO 2023-01-08 06:08:42,097 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,097 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:08:42,097 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,097 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-19.npy [41798a58345e INFO 2023-01-08 06:08:42,097 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/author/val_mask-9.npy [41798a58345e INFO 2023-01-08 06:08:42,122 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,123 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,123 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:42,123 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-10.npy [41798a58345e INFO 2023-01-08 06:08:42,123 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,123 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,123 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:42,123 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-11.npy [41798a58345e INFO 2023-01-08 06:08:42,123 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,123 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-12.npy [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-13.npy [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-14.npy [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-15.npy [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,124 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,125 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-16.npy [41798a58345e INFO 2023-01-08 06:08:42,125 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:08:42,125 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,125 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,125 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-17.npy [41798a58345e INFO 2023-01-08 06:08:42,125 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:08:42,125 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,125 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,125 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-18.npy [41798a58345e INFO 2023-01-08 06:08:42,125 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:08:42,125 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,125 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,125 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-19.npy [41798a58345e INFO 2023-01-08 06:08:42,125 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/test_mask-9.npy [41798a58345e INFO 2023-01-08 06:08:42,151 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,151 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,151 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-10.npy [41798a58345e INFO 2023-01-08 06:08:42,151 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:42,151 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,151 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,151 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-11.npy [41798a58345e INFO 2023-01-08 06:08:42,151 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:42,152 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,152 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,152 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-12.npy [41798a58345e INFO 2023-01-08 06:08:42,152 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:42,152 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,152 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,152 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-13.npy [41798a58345e INFO 2023-01-08 06:08:42,152 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:42,152 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,152 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,152 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-14.npy [41798a58345e INFO 2023-01-08 06:08:42,152 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:08:42,152 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,152 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-15.npy [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-16.npy [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-17.npy [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-18.npy [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,153 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,154 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-19.npy [41798a58345e INFO 2023-01-08 06:08:42,154 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/train_mask-9.npy [41798a58345e INFO 2023-01-08 06:08:42,179 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,179 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,179 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-10.npy [41798a58345e INFO 2023-01-08 06:08:42,179 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:42,179 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,179 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,179 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-11.npy [41798a58345e INFO 2023-01-08 06:08:42,179 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:42,179 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,179 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,180 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-12.npy [41798a58345e INFO 2023-01-08 06:08:42,180 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:42,180 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,180 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,180 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-13.npy [41798a58345e INFO 2023-01-08 06:08:42,180 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:42,180 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,180 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,180 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-14.npy [41798a58345e INFO 2023-01-08 06:08:42,180 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:08:42,180 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,180 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,180 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-15.npy [41798a58345e INFO 2023-01-08 06:08:42,180 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:08:42,181 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,181 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,181 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-16.npy [41798a58345e INFO 2023-01-08 06:08:42,181 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:08:42,181 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,181 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,181 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-17.npy [41798a58345e INFO 2023-01-08 06:08:42,181 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:08:42,181 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,181 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,181 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-18.npy [41798a58345e INFO 2023-01-08 06:08:42,181 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:08:42,181 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,181 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,182 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-19.npy [41798a58345e INFO 2023-01-08 06:08:42,182 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/institution/val_mask-9.npy [41798a58345e INFO 2023-01-08 06:08:42,207 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,207 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,207 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-10.npy [41798a58345e INFO 2023-01-08 06:08:42,207 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-0.npy [41798a58345e INFO 2023-01-08 06:08:42,207 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,207 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-11.npy [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-1.npy [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-12.npy [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-2.npy [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-3.npy [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-13.npy [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-14.npy [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-4.npy [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,208 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-15.npy [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-5.npy [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-16.npy [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-6.npy [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-17.npy [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-7.npy [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-18.npy [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-8.npy [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,209 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,210 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-19.npy [41798a58345e INFO 2023-01-08 06:08:42,210 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/feat-9.npy [41798a58345e INFO 2023-01-08 06:08:42,235 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,235 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,235 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-10.npy [41798a58345e INFO 2023-01-08 06:08:42,235 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-0.npy [41798a58345e INFO 2023-01-08 06:08:42,236 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,236 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,236 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-11.npy [41798a58345e INFO 2023-01-08 06:08:42,236 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-1.npy [41798a58345e INFO 2023-01-08 06:08:42,236 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,236 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,236 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-12.npy [41798a58345e INFO 2023-01-08 06:08:42,236 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-2.npy [41798a58345e INFO 2023-01-08 06:08:42,236 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,236 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,236 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-13.npy [41798a58345e INFO 2023-01-08 06:08:42,236 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-3.npy [41798a58345e INFO 2023-01-08 06:08:42,236 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,236 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-14.npy [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-4.npy [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-15.npy [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-5.npy [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-16.npy [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-6.npy [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-17.npy [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-7.npy [41798a58345e INFO 2023-01-08 06:08:42,237 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,238 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-18.npy [41798a58345e INFO 2023-01-08 06:08:42,238 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,238 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-8.npy [41798a58345e INFO 2023-01-08 06:08:42,238 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,238 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-19.npy [41798a58345e INFO 2023-01-08 06:08:42,238 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/label-9.npy [41798a58345e INFO 2023-01-08 06:08:42,263 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,263 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,263 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:08:42,264 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-10.npy [41798a58345e INFO 2023-01-08 06:08:42,264 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,264 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,264 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-11.npy [41798a58345e INFO 2023-01-08 06:08:42,264 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:08:42,264 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,264 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,264 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:08:42,264 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-12.npy [41798a58345e INFO 2023-01-08 06:08:42,264 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,264 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,264 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:08:42,264 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-13.npy [41798a58345e INFO 2023-01-08 06:08:42,264 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,264 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-14.npy [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-4.npy [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-15.npy [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-5.npy [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-16.npy [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-6.npy [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-17.npy [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-7.npy [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,265 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,266 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-18.npy [41798a58345e INFO 2023-01-08 06:08:42,266 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-8.npy [41798a58345e INFO 2023-01-08 06:08:42,266 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,266 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,266 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-19.npy [41798a58345e INFO 2023-01-08 06:08:42,266 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/orig_ids-9.npy [41798a58345e INFO 2023-01-08 06:08:42,291 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,291 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-10.npy [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-11.npy [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-12.npy [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-13.npy [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,292 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-14.npy [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-15.npy [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-16.npy [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-17.npy [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,293 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,294 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-18.npy [41798a58345e INFO 2023-01-08 06:08:42,294 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:08:42,294 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,294 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,294 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-19.npy [41798a58345e INFO 2023-01-08 06:08:42,294 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/test_mask-9.npy [41798a58345e INFO 2023-01-08 06:08:42,319 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,319 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-10.npy [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-11.npy [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-12.npy [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-13.npy [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,320 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-14.npy [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-15.npy [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-16.npy [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-17.npy [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,321 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,322 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-18.npy [41798a58345e INFO 2023-01-08 06:08:42,322 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:08:42,322 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,322 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,322 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-19.npy [41798a58345e INFO 2023-01-08 06:08:42,322 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/train_mask-9.npy [41798a58345e INFO 2023-01-08 06:08:42,347 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,347 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,348 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-10.npy [41798a58345e INFO 2023-01-08 06:08:42,348 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:42,348 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,348 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,348 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-11.npy [41798a58345e INFO 2023-01-08 06:08:42,348 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:42,348 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,348 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,348 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-12.npy [41798a58345e INFO 2023-01-08 06:08:42,348 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:42,348 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,348 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-13.npy [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-14.npy [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-15.npy [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-16.npy [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,349 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,350 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-17.npy [41798a58345e INFO 2023-01-08 06:08:42,350 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:08:42,350 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,350 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,350 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-18.npy [41798a58345e INFO 2023-01-08 06:08:42,350 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:08:42,350 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,350 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,350 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-19.npy [41798a58345e INFO 2023-01-08 06:08:42,350 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/val_mask-9.npy [41798a58345e INFO 2023-01-08 06:08:42,375 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,375 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,376 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-10.npy [41798a58345e INFO 2023-01-08 06:08:42,376 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-0.npy [41798a58345e INFO 2023-01-08 06:08:42,376 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,376 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,376 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-11.npy [41798a58345e INFO 2023-01-08 06:08:42,376 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-1.npy [41798a58345e INFO 2023-01-08 06:08:42,376 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,376 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,376 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-12.npy [41798a58345e INFO 2023-01-08 06:08:42,376 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-2.npy [41798a58345e INFO 2023-01-08 06:08:42,376 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,376 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-13.npy [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-3.npy [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-14.npy [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-4.npy [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-15.npy [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-5.npy [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-16.npy [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-6.npy [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,377 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,378 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-17.npy [41798a58345e INFO 2023-01-08 06:08:42,378 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-7.npy [41798a58345e INFO 2023-01-08 06:08:42,378 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,378 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,378 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-18.npy [41798a58345e INFO 2023-01-08 06:08:42,378 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-8.npy [41798a58345e INFO 2023-01-08 06:08:42,378 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,378 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,378 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-19.npy [41798a58345e INFO 2023-01-08 06:08:42,378 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/node_data/paper/year-9.npy [41798a58345e INFO 2023-01-08 06:08:42,403 PID:9151] [Rank: 1] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,403 PID:9151] [Rank: 1] node feature name: author/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,403 PID:9151] [Rank: 1] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: author/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,403 PID:9154] [Rank: 0] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,403 PID:9154] [Rank: 0] node feature name: author/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: author/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: author/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: author/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: institution/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: institution/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: institution/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: institution/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: institution/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: institution/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: paper/feat/1, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: paper/feat/1, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: paper/label/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: paper/orig_ids/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: paper/label/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: paper/orig_ids/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: paper/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: paper/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: paper/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: paper/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: paper/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: paper/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] [Rank: 1] node feature name: paper/year/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] [Rank: 0] node feature name: paper/year/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,404 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-13.npy [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-14.npy [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-15.npy [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-16.npy [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,405 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,406 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-17.npy [41798a58345e INFO 2023-01-08 06:08:42,406 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy [41798a58345e INFO 2023-01-08 06:08:42,406 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,406 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,406 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-18.npy [41798a58345e INFO 2023-01-08 06:08:42,406 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy [41798a58345e INFO 2023-01-08 06:08:42,406 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,406 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,406 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-19.npy [41798a58345e INFO 2023-01-08 06:08:42,406 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy [41798a58345e INFO 2023-01-08 06:08:42,406 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-20.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,406 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,406 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-20.npy [41798a58345e INFO 2023-01-08 06:08:42,406 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy [41798a58345e INFO 2023-01-08 06:08:42,406 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-21.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,407 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,407 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-21.npy [41798a58345e INFO 2023-01-08 06:08:42,407 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-8.npy [41798a58345e INFO 2023-01-08 06:08:42,407 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-22.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,407 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,407 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-22.npy [41798a58345e INFO 2023-01-08 06:08:42,407 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-9.npy [41798a58345e INFO 2023-01-08 06:08:42,407 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-23.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,407 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,407 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-23.npy [41798a58345e INFO 2023-01-08 06:08:42,407 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-10.npy [41798a58345e INFO 2023-01-08 06:08:42,407 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-24.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,407 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,407 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-24.npy [41798a58345e INFO 2023-01-08 06:08:42,407 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-11.npy [41798a58345e INFO 2023-01-08 06:08:42,408 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,408 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/orig_ids-12.npy [41798a58345e INFO 2023-01-08 06:08:42,433 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,433 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-13.npy [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-14.npy [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-15.npy [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-16.npy [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,434 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-17.npy [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-18.npy [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-19.npy [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-20.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-20.npy [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-21.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:08:42,435 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,436 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-21.npy [41798a58345e INFO 2023-01-08 06:08:42,436 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-22.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,436 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-8.npy [41798a58345e INFO 2023-01-08 06:08:42,436 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,436 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-22.npy [41798a58345e INFO 2023-01-08 06:08:42,436 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-23.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,436 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-9.npy [41798a58345e INFO 2023-01-08 06:08:42,436 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,436 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-23.npy [41798a58345e INFO 2023-01-08 06:08:42,436 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-24.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,436 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-10.npy [41798a58345e INFO 2023-01-08 06:08:42,436 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,436 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-24.npy [41798a58345e INFO 2023-01-08 06:08:42,436 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-11.npy [41798a58345e INFO 2023-01-08 06:08:42,436 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,437 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/test_mask-12.npy [41798a58345e INFO 2023-01-08 06:08:42,462 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,462 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,462 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:42,462 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-13.npy [41798a58345e INFO 2023-01-08 06:08:42,462 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,462 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-14.npy [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-15.npy [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-16.npy [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-17.npy [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,463 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-18.npy [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-19.npy [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-20.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-20.npy [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-21.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-21.npy [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-8.npy [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-22.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,464 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,465 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-22.npy [41798a58345e INFO 2023-01-08 06:08:42,465 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-9.npy [41798a58345e INFO 2023-01-08 06:08:42,465 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-23.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,465 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,465 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-23.npy [41798a58345e INFO 2023-01-08 06:08:42,465 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-10.npy [41798a58345e INFO 2023-01-08 06:08:42,465 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-24.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,465 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,465 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-24.npy [41798a58345e INFO 2023-01-08 06:08:42,465 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-11.npy [41798a58345e INFO 2023-01-08 06:08:42,465 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,465 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/train_mask-12.npy [41798a58345e INFO 2023-01-08 06:08:42,491 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,491 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,491 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:42,491 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-13.npy [41798a58345e INFO 2023-01-08 06:08:42,491 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,491 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-14.npy [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-15.npy [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-16.npy [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-17.npy [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,492 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,493 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:08:42,493 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-18.npy [41798a58345e INFO 2023-01-08 06:08:42,493 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,493 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,493 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:08:42,493 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-19.npy [41798a58345e INFO 2023-01-08 06:08:42,493 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-20.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,493 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,493 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:08:42,493 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-20.npy [41798a58345e INFO 2023-01-08 06:08:42,493 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-21.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,493 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,493 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-8.npy [41798a58345e INFO 2023-01-08 06:08:42,493 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-21.npy [41798a58345e INFO 2023-01-08 06:08:42,494 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-22.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,494 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,494 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-9.npy [41798a58345e INFO 2023-01-08 06:08:42,494 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-22.npy [41798a58345e INFO 2023-01-08 06:08:42,494 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-23.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,494 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,494 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-23.npy [41798a58345e INFO 2023-01-08 06:08:42,494 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-10.npy [41798a58345e INFO 2023-01-08 06:08:42,494 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-24.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,494 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,494 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-11.npy [41798a58345e INFO 2023-01-08 06:08:42,494 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-24.npy [41798a58345e INFO 2023-01-08 06:08:42,494 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,495 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/val_mask-12.npy [41798a58345e INFO 2023-01-08 06:08:42,520 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,520 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,520 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:08:42,520 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,520 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-13.npy [41798a58345e INFO 2023-01-08 06:08:42,520 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-14.npy [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-15.npy [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-16.npy [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-17.npy [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:08:42,521 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-18.npy [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-5.npy [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-19.npy [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-6.npy [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-20.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-20.npy [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-7.npy [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-21.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-21.npy [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-8.npy [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-22.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,522 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,523 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-22.npy [41798a58345e INFO 2023-01-08 06:08:42,523 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-9.npy [41798a58345e INFO 2023-01-08 06:08:42,523 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-23.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,523 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,523 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-23.npy [41798a58345e INFO 2023-01-08 06:08:42,523 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-24.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,523 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-10.npy [41798a58345e INFO 2023-01-08 06:08:42,523 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,523 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-24.npy [41798a58345e INFO 2023-01-08 06:08:42,523 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-11.npy [41798a58345e INFO 2023-01-08 06:08:42,523 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,523 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/author:writes:paper/year-12.npy [41798a58345e INFO 2023-01-08 06:08:42,549 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,549 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,549 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:08:42,549 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-13.npy [41798a58345e INFO 2023-01-08 06:08:42,549 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,549 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,549 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:08:42,549 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-14.npy [41798a58345e INFO 2023-01-08 06:08:42,549 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,549 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,550 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:08:42,550 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-15.npy [41798a58345e INFO 2023-01-08 06:08:42,550 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,550 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,550 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:08:42,550 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-16.npy [41798a58345e INFO 2023-01-08 06:08:42,550 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,550 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,550 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-17.npy [41798a58345e INFO 2023-01-08 06:08:42,550 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:08:42,550 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,550 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-18.npy [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-5.npy [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-19.npy [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-6.npy [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-20.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-20.npy [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-7.npy [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-21.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-21.npy [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-8.npy [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-22.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,551 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,552 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-22.npy [41798a58345e INFO 2023-01-08 06:08:42,552 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-9.npy [41798a58345e INFO 2023-01-08 06:08:42,552 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-23.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,552 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,552 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-23.npy [41798a58345e INFO 2023-01-08 06:08:42,552 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-10.npy [41798a58345e INFO 2023-01-08 06:08:42,552 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-24.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,552 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,552 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-24.npy [41798a58345e INFO 2023-01-08 06:08:42,552 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-11.npy [41798a58345e INFO 2023-01-08 06:08:42,552 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,552 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/institution:writes:paper/year-12.npy [41798a58345e INFO 2023-01-08 06:08:42,577 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,577 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,578 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-0.npy [41798a58345e INFO 2023-01-08 06:08:42,578 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-13.npy [41798a58345e INFO 2023-01-08 06:08:42,578 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,578 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,578 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-1.npy [41798a58345e INFO 2023-01-08 06:08:42,578 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-14.npy [41798a58345e INFO 2023-01-08 06:08:42,578 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,578 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-2.npy [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-15.npy [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-3.npy [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-16.npy [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-4.npy [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-17.npy [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-5.npy [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-18.npy [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,579 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-6.npy [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-19.npy [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-20.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-20.npy [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-7.npy [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-21.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-21.npy [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-8.npy [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-22.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-22.npy [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-9.npy [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-23.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,580 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,581 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-23.npy [41798a58345e INFO 2023-01-08 06:08:42,581 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-10.npy [41798a58345e INFO 2023-01-08 06:08:42,581 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-24.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,581 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,581 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-24.npy [41798a58345e INFO 2023-01-08 06:08:42,581 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-11.npy [41798a58345e INFO 2023-01-08 06:08:42,581 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,581 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:cites:paper/count-12.npy [41798a58345e INFO 2023-01-08 06:08:42,607 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,607 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,607 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [41798a58345e INFO 2023-01-08 06:08:42,607 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-13.npy [41798a58345e INFO 2023-01-08 06:08:42,607 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,607 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,607 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [41798a58345e INFO 2023-01-08 06:08:42,607 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-14.npy [41798a58345e INFO 2023-01-08 06:08:42,607 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,607 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-15.npy [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-16.npy [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-17.npy [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-4.npy [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-5.npy [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-18.npy [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,608 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,609 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-6.npy [41798a58345e INFO 2023-01-08 06:08:42,609 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-19.npy [41798a58345e INFO 2023-01-08 06:08:42,609 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-20.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,609 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,609 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-20.npy [41798a58345e INFO 2023-01-08 06:08:42,609 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-7.npy [41798a58345e INFO 2023-01-08 06:08:42,609 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-21.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,609 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,609 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-21.npy [41798a58345e INFO 2023-01-08 06:08:42,609 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-8.npy [41798a58345e INFO 2023-01-08 06:08:42,609 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-22.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,609 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,609 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-22.npy [41798a58345e INFO 2023-01-08 06:08:42,609 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-9.npy [41798a58345e INFO 2023-01-08 06:08:42,610 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-23.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,610 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,610 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-23.npy [41798a58345e INFO 2023-01-08 06:08:42,610 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-10.npy [41798a58345e INFO 2023-01-08 06:08:42,610 PID:9151] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-24.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,610 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,610 PID:9151] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-24.npy [41798a58345e INFO 2023-01-08 06:08:42,610 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-11.npy [41798a58345e INFO 2023-01-08 06:08:42,610 PID:9154] Reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:42,610 PID:9154] Done reading from /tmp/tmpg_gjb9sv/chunked-data/edge_data/paper:rev_writes:author/year-12.npy [41798a58345e INFO 2023-01-08 06:08:42,635 PID:9151] [Rank: 1] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,635 PID:9151] [Rank: 1] edge feature name: author:writes:paper/orig_ids/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,635 PID:9151] [Rank: 1] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9151] [Rank: 1] edge feature name: author:writes:paper/test_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9151] [Rank: 1] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9151] [Rank: 1] edge feature name: author:writes:paper/train_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,635 PID:9154] [Rank: 0] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,635 PID:9154] [Rank: 0] edge feature name: author:writes:paper/orig_ids/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9154] [Rank: 0] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9154] [Rank: 0] edge feature name: author:writes:paper/test_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9154] [Rank: 0] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9154] [Rank: 0] edge feature name: author:writes:paper/train_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9151] [Rank: 1] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9151] [Rank: 1] edge feature name: author:writes:paper/val_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9151] [Rank: 1] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9154] [Rank: 0] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9154] [Rank: 0] edge feature name: author:writes:paper/val_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9154] [Rank: 0] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9154] [Rank: 0] edge feature name: author:writes:paper/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9154] [Rank: 0] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9151] [Rank: 1] edge feature name: author:writes:paper/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9151] [Rank: 1] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9151] [Rank: 1] edge feature name: institution:writes:paper/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9154] [Rank: 0] edge feature name: institution:writes:paper/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9154] [Rank: 0] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9151] [Rank: 1] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9151] [Rank: 1] edge feature name: paper:cites:paper/count/1, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9154] [Rank: 0] edge feature name: paper:cites:paper/count/1, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9151] [Rank: 1] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9154] [Rank: 0] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9151] [Rank: 1] edge feature name: paper:rev_writes:author/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9154] [Rank: 0] edge feature name: paper:rev_writes:author/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9151] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:affiliated_with:institution2.txt [41798a58345e INFO 2023-01-08 06:08:42,636 PID:9154] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:affiliated_with:institution0.txt [41798a58345e INFO 2023-01-08 06:08:42,637 PID:9151] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:affiliated_with:institution3.txt [41798a58345e INFO 2023-01-08 06:08:42,637 PID:9154] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:affiliated_with:institution1.txt [41798a58345e INFO 2023-01-08 06:08:42,638 PID:9151] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:affiliated_with:institution6.txt [41798a58345e INFO 2023-01-08 06:08:42,638 PID:9154] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:affiliated_with:institution4.txt [41798a58345e INFO 2023-01-08 06:08:42,638 PID:9154] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:affiliated_with:institution5.txt [41798a58345e INFO 2023-01-08 06:08:42,638 PID:9151] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:affiliated_with:institution7.txt [41798a58345e INFO 2023-01-08 06:08:42,638 PID:9151] Loading edges of etype[author:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:08:42,638 PID:9154] Loading edges of etype[author:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:08:42,639 PID:9151] Loading edges of etype[author:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:08:42,639 PID:9154] Loading edges of etype[author:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:08:42,640 PID:9154] Loading edges of etype[author:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:08:42,640 PID:9151] Loading edges of etype[author:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:08:42,641 PID:9151] Loading edges of etype[author:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:08:42,641 PID:9154] Loading edges of etype[author:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/author:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:08:42,642 PID:9151] Loading edges of etype[institution:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/institution:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:08:42,642 PID:9154] Loading edges of etype[institution:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/institution:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:08:42,642 PID:9154] Loading edges of etype[institution:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/institution:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:08:42,642 PID:9151] Loading edges of etype[institution:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/institution:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:08:42,643 PID:9154] Loading edges of etype[institution:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/institution:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:08:42,643 PID:9151] Loading edges of etype[institution:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/institution:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:08:42,644 PID:9154] Loading edges of etype[institution:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/institution:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:08:42,644 PID:9151] Loading edges of etype[institution:writes:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/institution:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:08:42,644 PID:9154] Loading edges of etype[paper:cites:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:cites:paper0.txt [41798a58345e INFO 2023-01-08 06:08:42,644 PID:9151] Loading edges of etype[paper:cites:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:cites:paper2.txt [41798a58345e INFO 2023-01-08 06:08:42,645 PID:9154] Loading edges of etype[paper:cites:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:cites:paper1.txt [41798a58345e INFO 2023-01-08 06:08:42,645 PID:9151] Loading edges of etype[paper:cites:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:cites:paper3.txt [41798a58345e INFO 2023-01-08 06:08:42,646 PID:9154] Loading edges of etype[paper:cites:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:cites:paper4.txt [41798a58345e INFO 2023-01-08 06:08:42,646 PID:9151] Loading edges of etype[paper:cites:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:cites:paper6.txt [41798a58345e INFO 2023-01-08 06:08:42,647 PID:9154] Loading edges of etype[paper:cites:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:cites:paper5.txt [41798a58345e INFO 2023-01-08 06:08:42,647 PID:9151] Loading edges of etype[paper:cites:paper] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:cites:paper7.txt [41798a58345e INFO 2023-01-08 06:08:42,648 PID:9154] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:rev_writes:author0.txt [41798a58345e INFO 2023-01-08 06:08:42,648 PID:9151] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:rev_writes:author2.txt [41798a58345e INFO 2023-01-08 06:08:42,649 PID:9154] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:rev_writes:author1.txt [41798a58345e INFO 2023-01-08 06:08:42,649 PID:9151] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:rev_writes:author3.txt [41798a58345e INFO 2023-01-08 06:08:42,650 PID:9154] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:rev_writes:author4.txt [41798a58345e INFO 2023-01-08 06:08:42,650 PID:9151] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:rev_writes:author6.txt [41798a58345e INFO 2023-01-08 06:08:42,650 PID:9154] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:rev_writes:author5.txt [41798a58345e INFO 2023-01-08 06:08:42,650 PID:9151] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpg_gjb9sv/chunked-data/edge_index/paper:rev_writes:author7.txt [41798a58345e INFO 2023-01-08 06:08:42,651 PID:9154] [Rank: 0] Done reading edge_file: 4, (31200,) [41798a58345e INFO 2023-01-08 06:08:42,651 PID:9151] [Rank: 1] Done reading edge_file: 4, (31200,) [41798a58345e INFO 2023-01-08 06:08:42,651 PID:9154] Rank: 0 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(0, 3000)], 'author:writes:paper/orig_ids/1': [(6000, 9000)], 'author:writes:paper/test_mask/0': [(0, 3000)], 'author:writes:paper/test_mask/1': [(6000, 9000)], 'author:writes:paper/train_mask/0': [(0, 3000)], 'author:writes:paper/train_mask/1': [(6000, 9000)], 'author:writes:paper/val_mask/0': [(0, 3000)], 'author:writes:paper/val_mask/1': [(6000, 9000)], 'author:writes:paper/year/0': [(0, 3000)], 'author:writes:paper/year/1': [(6000, 9000)], 'institution:writes:paper/year/0': [(0, 3000)], 'institution:writes:paper/year/1': [(6000, 9000)], 'paper:cites:paper/count/0': [(0, 6000)], 'paper:cites:paper/count/1': [(12000, 18000)], 'paper:rev_writes:author/year/0': [(0, 3000)], 'paper:rev_writes:author/year/1': [(6000, 9000)]} [41798a58345e INFO 2023-01-08 06:08:42,651 PID:9151] Rank: 1 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(3000, 6000)], 'author:writes:paper/orig_ids/1': [(9000, 12000)], 'author:writes:paper/test_mask/0': [(3000, 6000)], 'author:writes:paper/test_mask/1': [(9000, 12000)], 'author:writes:paper/train_mask/0': [(3000, 6000)], 'author:writes:paper/train_mask/1': [(9000, 12000)], 'author:writes:paper/val_mask/0': [(3000, 6000)], 'author:writes:paper/val_mask/1': [(9000, 12000)], 'author:writes:paper/year/0': [(3000, 6000)], 'author:writes:paper/year/1': [(9000, 12000)], 'institution:writes:paper/year/0': [(3000, 6000)], 'institution:writes:paper/year/1': [(9000, 12000)], 'paper:cites:paper/count/0': [(6000, 12000)], 'paper:cites:paper/count/1': [(18000, 24000)], 'paper:rev_writes:author/year/0': [(3000, 6000)], 'paper:rev_writes:author/year/1': [(9000, 12000)]} [41798a58345e INFO 2023-01-08 06:08:42,652 PID:9154] [Rank: 0] Done reading dataset /tmp/tmpg_gjb9sv/chunked-data [41798a58345e INFO 2023-01-08 06:08:42,652 PID:9151] [Rank: 1] Done reading dataset /tmp/tmpg_gjb9sv/chunked-data [41798a58345e INFO 2023-01-08 06:08:42,726 PID:9151] [Rank: 1] Done augmenting edge_data: 6, (31200,) [41798a58345e INFO 2023-01-08 06:08:42,726 PID:9151] [Rank: 1] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:42,726 PID:9151] [Rank: 1] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:42,727 PID:9154] [Rank: 0] Done augmenting edge_data: 6, (31200,) [41798a58345e INFO 2023-01-08 06:08:42,727 PID:9154] [Rank: 0] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:42,728 PID:9154] [Rank: 0] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:42,803 PID:9154] [Rank: 0] processing feature: author/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:42,803 PID:9151] [Rank: 1] processing feature: author/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:42,851 PID:9154] [Rank: 0] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:42,851 PID:9151] [Rank: 1] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:42,897 PID:9151] [Rank: 1] processing feature: author/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:42,897 PID:9154] [Rank: 0] processing feature: author/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:42,944 PID:9154] [Rank: 0] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:42,944 PID:9151] [Rank: 1] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:42,989 PID:9151] [Rank: 1] processing feature: author/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:42,989 PID:9154] [Rank: 0] processing feature: author/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:43,029 PID:9154] [Rank: 0] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:43,029 PID:9151] [Rank: 1] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:43,072 PID:9154] [Rank: 0] processing feature: institution/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:43,072 PID:9151] [Rank: 1] processing feature: institution/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:43,115 PID:9151] [Rank: 1] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:43,115 PID:9154] [Rank: 0] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:43,156 PID:9151] [Rank: 1] processing feature: institution/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:43,156 PID:9154] [Rank: 0] processing feature: institution/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:43,199 PID:9151] [Rank: 1] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:43,199 PID:9154] [Rank: 0] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:43,242 PID:9154] [Rank: 0] processing feature: institution/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:43,242 PID:9151] [Rank: 1] processing feature: institution/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:43,285 PID:9151] [Rank: 1] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:43,285 PID:9154] [Rank: 0] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:43,324 PID:9154] [Rank: 0] processing feature: paper/feat/1 [41798a58345e INFO 2023-01-08 06:08:43,324 PID:9151] [Rank: 1] processing feature: paper/feat/1 [41798a58345e INFO 2023-01-08 06:08:43,369 PID:9151] [Rank: 1] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:43,369 PID:9154] [Rank: 0] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:43,411 PID:9151] [Rank: 1] processing feature: paper/label/1 [41798a58345e INFO 2023-01-08 06:08:43,411 PID:9154] [Rank: 0] processing feature: paper/label/1 [41798a58345e INFO 2023-01-08 06:08:43,451 PID:9151] [Rank: 1] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:43,451 PID:9154] [Rank: 0] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:43,491 PID:9151] [Rank: 1] processing feature: paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:08:43,491 PID:9154] [Rank: 0] processing feature: paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:08:43,532 PID:9154] [Rank: 0] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:43,532 PID:9151] [Rank: 1] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:43,573 PID:9151] [Rank: 1] processing feature: paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:43,573 PID:9154] [Rank: 0] processing feature: paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:43,613 PID:9151] [Rank: 1] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:43,613 PID:9154] [Rank: 0] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:43,653 PID:9151] [Rank: 1] processing feature: paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:43,653 PID:9154] [Rank: 0] processing feature: paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:43,694 PID:9151] [Rank: 1] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:43,694 PID:9154] [Rank: 0] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:43,736 PID:9151] [Rank: 1] processing feature: paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:43,736 PID:9154] [Rank: 0] processing feature: paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:43,777 PID:9151] [Rank: 1] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:43,777 PID:9154] [Rank: 0] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:43,821 PID:9154] [Rank: 0] processing feature: paper/year/1 [41798a58345e INFO 2023-01-08 06:08:43,821 PID:9151] [Rank: 1] processing feature: paper/year/1 [41798a58345e INFO 2023-01-08 06:08:43,864 PID:9154] [Rank: 0] Total time for feature exchange: 0:00:01.136041 [41798a58345e INFO 2023-01-08 06:08:43,864 PID:9151] [Rank: 1] Total time for feature exchange: 0:00:01.137257 [41798a58345e INFO 2023-01-08 06:08:43,864 PID:9154] [Rank: 0] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:43,864 PID:9154] [Rank: 0] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:43,865 PID:9151] [Rank: 1] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:43,865 PID:9151] [Rank: 1] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:43,925 PID:9151] [Rank: 1] processing feature: author:writes:paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:08:43,925 PID:9154] [Rank: 0] processing feature: author:writes:paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:08:43,979 PID:9154] [Rank: 0] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:43,979 PID:9151] [Rank: 1] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:44,033 PID:9151] [Rank: 1] processing feature: author:writes:paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:44,033 PID:9154] [Rank: 0] processing feature: author:writes:paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:44,097 PID:9151] [Rank: 1] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:44,097 PID:9154] [Rank: 0] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:44,151 PID:9154] [Rank: 0] processing feature: author:writes:paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:44,151 PID:9151] [Rank: 1] processing feature: author:writes:paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:44,207 PID:9154] [Rank: 0] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:44,207 PID:9151] [Rank: 1] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:44,267 PID:9151] [Rank: 1] processing feature: author:writes:paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:44,267 PID:9154] [Rank: 0] processing feature: author:writes:paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:44,321 PID:9151] [Rank: 1] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:44,321 PID:9154] [Rank: 0] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:44,375 PID:9154] [Rank: 0] processing feature: author:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:08:44,375 PID:9151] [Rank: 1] processing feature: author:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:08:44,429 PID:9151] [Rank: 1] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:44,429 PID:9154] [Rank: 0] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:08:44,482 PID:9151] [Rank: 1] processing feature: institution:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:08:44,482 PID:9154] [Rank: 0] processing feature: institution:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:08:44,537 PID:9151] [Rank: 1] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:08:44,537 PID:9154] [Rank: 0] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:08:44,608 PID:9151] [Rank: 1] processing feature: paper:cites:paper/count/1 [41798a58345e INFO 2023-01-08 06:08:44,608 PID:9154] [Rank: 0] processing feature: paper:cites:paper/count/1 [41798a58345e INFO 2023-01-08 06:08:44,669 PID:9154] [Rank: 0] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:08:44,669 PID:9151] [Rank: 1] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:08:44,723 PID:9151] [Rank: 1] processing feature: paper:rev_writes:author/year/1 [41798a58345e INFO 2023-01-08 06:08:44,723 PID:9154] [Rank: 0] processing feature: paper:rev_writes:author/year/1 [41798a58345e INFO 2023-01-08 06:08:44,782 PID:9154] [Rank: 0] Total time for feature exchange: 0:00:00.917950 [41798a58345e INFO 2023-01-08 06:08:44,782 PID:9151] [Rank: 1] Total time for feature exchange: 0:00:00.916970 [41798a58345e INFO 2023-01-08 06:08:44,783 PID:9154] [Rank: 0] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:08:44,783 PID:9151] [Rank: 1] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:08:44,861 PID:9154] [Rank: 0] Time to send/rcv edge data: 0:00:00.038816 [41798a58345e INFO 2023-01-08 06:08:44,867 PID:9151] [Rank: 1] Time to send/rcv edge data: 0:00:00.044735 [41798a58345e INFO 2023-01-08 06:08:44,934 PID:9154] [Rank: 0] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:08:44,945 PID:9151] [Rank: 1] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:08:44,973 PID:9154] [Rank: 0] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:08:44,984 PID:9151] [Rank: 1] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:08:44,985 PID:9151] [Rank: 1] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:08:44,985 PID:9154] [Rank: 0] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:08:45,030 PID:9151] [Rank: 1] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:08:45,031 PID:9154] [Rank: 0] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:08:45,123 PID:9151] [Rank: 1] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:08:45,123 PID:9154] [Rank: 0] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:08:45,435 PID:9151] There are 14990 edges in partition 1 [41798a58345e INFO 2023-01-08 06:08:45,436 PID:9154] There are 14880 edges in partition 0 [41798a58345e INFO 2023-01-08 06:08:45,731 PID:9151] There are 16318 edges in partition 3 [41798a58345e INFO 2023-01-08 06:08:45,752 PID:9154] There are 16212 edges in partition 2 [41798a58345e INFO 2023-01-08 06:08:45,763 PID:9151] [Rank: 1] Time to create dgl objects: 0:00:00.639326 [41798a58345e INFO 2023-01-08 06:08:45,763 PID:9151] [Rank: 1] Total execution time of the program: 0:00:03.799180 [41798a58345e INFO 2023-01-08 06:08:45,763 PID:9154] [Rank: 0] Time to create dgl objects: 0:00:00.640008 [41798a58345e INFO 2023-01-08 06:08:45,764 PID:9154] [Rank: 0] Total execution time of the program: 0:00:03.800165 [41798a58345e INFO 2023-01-08 06:08:45,764 PID:9154] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! [Rank: 2 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:08:45,764 PID:9151] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [Rank: 3 Edge data is already sorted !!! PASSED [ 71%] tests/tools/test_dist_part.py::test_pipeline_arbitray_chunks[9-7-5-3-11] PASSED [ 73%] tests/tools/test_dist_part.py::test_pipeline_arbitray_chunks[8-8-4-3-5] Done with creating chunked graph INFO:root:Changing directory to /tmp/tmp1wq_3m99/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4483@7 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4483@7 /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp1wq_3m99/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp1wq_3m99/parted_data --input-dir /tmp/tmp1wq_3m99/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmp1wq_3m99/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp1wq_3m99/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp1wq_3m99/parted_data --input-dir /tmp/tmp1wq_3m99/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmp1wq_3m99/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp1wq_3m99/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp1wq_3m99/parted_data --input-dir /tmp/tmp1wq_3m99/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmp1wq_3m99/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp1wq_3m99/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp1wq_3m99/parted_data --input-dir /tmp/tmp1wq_3m99/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmp1wq_3m99/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp1wq_3m99/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp1wq_3m99/parted_data --input-dir /tmp/tmp1wq_3m99/chunked-data --graph-name mag240m --schema metadata.json --num-parts 8 --output /tmp/tmp1wq_3m99/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs [41798a58345e INFO 2023-01-08 06:08:51,037 PID:9510] Added key: store_based_barrier_key:1 to store for rank: 0 [41798a58345e INFO 2023-01-08 06:08:51,037 PID:9511] Added key: store_based_barrier_key:1 to store for rank: 1 [41798a58345e INFO 2023-01-08 06:08:51,046 PID:9514] Added key: store_based_barrier_key:1 to store for rank: 2 [41798a58345e INFO 2023-01-08 06:08:51,046 PID:9515] Added key: store_based_barrier_key:1 to store for rank: 3 [41798a58345e INFO 2023-01-08 06:08:51,047 PID:9514] Rank 2: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:51,047 PID:9515] Rank 3: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:51,048 PID:9510] Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:51,049 PID:9511] Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:08:51,049 PID:9510] [Rank: 0] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:51,049 PID:9510] [Rank: 0] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:51,050 PID:9515] [Rank: 3] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:51,050 PID:9515] [Rank: 3] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:51,050 PID:9514] [Rank: 2] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:51,050 PID:9514] [Rank: 2] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:51,050 PID:9511] [Rank: 1] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:08:51,050 PID:9511] [Rank: 1] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:08:51,052 PID:9510] [Rank: 0] Reading file: /tmp/tmp1wq_3m99/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:51,053 PID:9514] [Rank: 2] Reading file: /tmp/tmp1wq_3m99/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:51,053 PID:9515] [Rank: 3] Reading file: /tmp/tmp1wq_3m99/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:51,053 PID:9511] [Rank: 1] Reading file: /tmp/tmp1wq_3m99/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:08:51,054 PID:9510] [Rank: 0] Reading file: /tmp/tmp1wq_3m99/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:51,056 PID:9515] [Rank: 3] Reading file: /tmp/tmp1wq_3m99/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:51,056 PID:9514] [Rank: 2] Reading file: /tmp/tmp1wq_3m99/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:51,056 PID:9511] [Rank: 1] Reading file: /tmp/tmp1wq_3m99/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:08:51,056 PID:9510] [Rank: 0] Reading file: /tmp/tmp1wq_3m99/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:51,057 PID:9515] [Rank: 3] Reading file: /tmp/tmp1wq_3m99/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:51,057 PID:9514] [Rank: 2] Reading file: /tmp/tmp1wq_3m99/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:51,057 PID:9511] [Rank: 1] Reading file: /tmp/tmp1wq_3m99/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:08:51,057 PID:9510] [Rank: 0] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:51,058 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,058 PID:9515] [Rank: 3] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:51,058 PID:9514] [Rank: 2] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:51,058 PID:9511] [Rank: 1] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:08:51,059 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,059 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,060 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:51,061 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:51,061 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:51,149 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,149 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,149 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,149 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:51,149 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:51,149 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:51,187 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,187 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,187 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,187 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:51,187 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:51,187 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/author/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:51,224 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,224 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,224 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,224 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:51,224 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:51,224 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:51,261 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,261 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,261 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,261 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:51,261 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:51,261 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:51,298 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,298 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,298 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,299 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:51,299 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:51,299 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/institution/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:51,335 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/feat-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,335 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/feat-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,335 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/feat-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,336 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/feat-1.npy [41798a58345e INFO 2023-01-08 06:08:51,336 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/feat-0.npy [41798a58345e INFO 2023-01-08 06:08:51,336 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/feat-2.npy [41798a58345e INFO 2023-01-08 06:08:51,372 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/label-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,372 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/label-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,372 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/label-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,373 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/label-1.npy [41798a58345e INFO 2023-01-08 06:08:51,373 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/label-0.npy [41798a58345e INFO 2023-01-08 06:08:51,373 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/label-2.npy [41798a58345e INFO 2023-01-08 06:08:51,409 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,409 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,409 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,410 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:08:51,410 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:08:51,410 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:08:51,446 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,446 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,446 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,447 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:51,447 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:51,447 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:51,484 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,483 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,483 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,484 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:51,484 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:51,484 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:51,523 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,523 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,523 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,523 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:51,523 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:51,523 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:51,561 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,561 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,561 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,562 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/year-1.npy [41798a58345e INFO 2023-01-08 06:08:51,562 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/year-0.npy [41798a58345e INFO 2023-01-08 06:08:51,562 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/node_data/paper/year-2.npy [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9514] [Rank: 2] node feature name: author/test_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9515] [Rank: 3] node feature name: author/test_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9515] [Rank: 3] node feature name: author/test_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9514] [Rank: 2] node feature name: author/test_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9514] [Rank: 2] node feature name: author/train_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9515] [Rank: 3] node feature name: author/train_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9515] [Rank: 3] node feature name: author/train_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9514] [Rank: 2] node feature name: author/train_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9515] [Rank: 3] node feature name: author/val_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9514] [Rank: 2] node feature name: author/val_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9515] [Rank: 3] node feature name: author/val_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9514] [Rank: 2] node feature name: author/val_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: institution/test_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: institution/test_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: institution/test_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9511] [Rank: 1] node feature name: author/test_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9511] [Rank: 1] node feature name: author/test_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9511] [Rank: 1] node feature name: author/train_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9511] [Rank: 1] node feature name: author/train_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9511] [Rank: 1] node feature name: author/val_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: institution/test_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: institution/train_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: institution/train_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: institution/train_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9511] [Rank: 1] node feature name: author/val_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9511] [Rank: 1] node feature name: institution/test_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9511] [Rank: 1] node feature name: institution/test_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9511] [Rank: 1] node feature name: institution/train_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: institution/train_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: institution/val_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: institution/val_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: institution/val_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: institution/train_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: paper/feat/0, feature data shape: torch.Size([150, 3]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: paper/feat/1, feature data shape: torch.Size([150, 3]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: paper/label/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: institution/val_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: institution/val_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9510] [Rank: 0] node feature name: author/test_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9510] [Rank: 0] node feature name: author/test_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9510] [Rank: 0] node feature name: author/train_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9510] [Rank: 0] node feature name: author/train_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9510] [Rank: 0] node feature name: author/val_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9510] [Rank: 0] node feature name: author/val_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,598 PID:9510] [Rank: 0] node feature name: institution/test_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: institution/test_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: institution/train_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: paper/feat/0, feature data shape: torch.Size([150, 3]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: paper/label/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: paper/orig_ids/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: institution/val_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: paper/orig_ids/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: paper/feat/0, feature data shape: torch.Size([150, 3]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: paper/feat/1, feature data shape: torch.Size([150, 3]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: institution/train_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: institution/val_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: institution/val_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: paper/test_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: paper/feat/1, feature data shape: torch.Size([150, 3]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: paper/label/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: paper/feat/0, feature data shape: torch.Size([150, 3]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: paper/test_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: paper/train_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: paper/label/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: paper/label/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: paper/train_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: paper/feat/1, feature data shape: torch.Size([150, 3]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: paper/orig_ids/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: paper/label/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: paper/val_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: paper/val_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: paper/orig_ids/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: paper/label/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: paper/orig_ids/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: paper/test_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: paper/year/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: paper/orig_ids/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: paper/label/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] [Rank: 1] node feature name: paper/year/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: paper/test_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: paper/test_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: paper/train_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: paper/orig_ids/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: paper/test_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: paper/train_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: paper/train_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: paper/orig_ids/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: paper/val_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: paper/train_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: paper/val_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: paper/val_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: paper/test_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: paper/year/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: paper/val_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: paper/test_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: paper/year/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] [Rank: 3] node feature name: paper/year/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: paper/train_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] [Rank: 2] node feature name: paper/year/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: paper/train_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: paper/val_mask/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: paper/val_mask/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: paper/year/0, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] [Rank: 0] node feature name: paper/year/1, feature data shape: torch.Size([150]) [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9515] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,599 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,600 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:08:51,600 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:08:51,600 PID:9515] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy [41798a58345e INFO 2023-01-08 06:08:51,600 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:08:51,600 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,600 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:08:51,637 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,637 PID:9515] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,637 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,637 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,638 PID:9515] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:08:51,638 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:51,638 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:51,638 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:51,638 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,638 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:51,675 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,675 PID:9515] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,675 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,675 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,675 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:51,675 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:51,675 PID:9515] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:08:51,675 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:51,675 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,676 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:51,713 PID:9515] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,713 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,713 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,713 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,713 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:08:51,713 PID:9515] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:08:51,713 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:08:51,713 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:08:51,713 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,714 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:08:51,750 PID:9515] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,750 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,750 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,750 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,751 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:08:51,751 PID:9515] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:08:51,751 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:08:51,751 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:08:51,751 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,751 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/author:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:08:51,788 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/institution:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,788 PID:9515] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/institution:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,788 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/institution:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,788 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/institution:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,788 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/institution:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:08:51,788 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/institution:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:08:51,788 PID:9515] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/institution:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:08:51,788 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/institution:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:08:51,788 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/institution:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,789 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/institution:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:08:51,825 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:cites:paper/count-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,825 PID:9515] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:cites:paper/count-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,825 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:cites:paper/count-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,825 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:cites:paper/count-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,826 PID:9515] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:cites:paper/count-4.npy [41798a58345e INFO 2023-01-08 06:08:51,826 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:cites:paper/count-3.npy [41798a58345e INFO 2023-01-08 06:08:51,826 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:cites:paper/count-2.npy [41798a58345e INFO 2023-01-08 06:08:51,826 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:cites:paper/count-0.npy [41798a58345e INFO 2023-01-08 06:08:51,826 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:cites:paper/count-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,826 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:cites:paper/count-1.npy [41798a58345e INFO 2023-01-08 06:08:51,863 PID:9514] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:rev_writes:author/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,863 PID:9515] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:rev_writes:author/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,863 PID:9511] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:rev_writes:author/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,863 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:rev_writes:author/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,864 PID:9511] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [41798a58345e INFO 2023-01-08 06:08:51,864 PID:9514] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [41798a58345e INFO 2023-01-08 06:08:51,864 PID:9515] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:rev_writes:author/year-4.npy [41798a58345e INFO 2023-01-08 06:08:51,864 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [41798a58345e INFO 2023-01-08 06:08:51,864 PID:9510] Reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:rev_writes:author/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:08:51,864 PID:9510] Done reading from /tmp/tmp1wq_3m99/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: author:writes:paper/orig_ids/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: author:writes:paper/orig_ids/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: author:writes:paper/test_mask/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: author:writes:paper/test_mask/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: author:writes:paper/train_mask/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: author:writes:paper/train_mask/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: author:writes:paper/val_mask/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: author:writes:paper/orig_ids/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: author:writes:paper/test_mask/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: author:writes:paper/val_mask/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: author:writes:paper/year/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: author:writes:paper/year/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: author:writes:paper/train_mask/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: author:writes:paper/val_mask/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: author:writes:paper/year/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: institution:writes:paper/year/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: paper:cites:paper/count/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: institution:writes:paper/year/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: institution:writes:paper/year/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] [Rank: 1] edge feature name: paper:rev_writes:author/year/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: paper:cites:paper/count/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: paper:cites:paper/count/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9515] [Rank: 3] edge feature name: paper:rev_writes:author/year/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: author:writes:paper/orig_ids/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: author:writes:paper/test_mask/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: author:writes:paper/train_mask/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: author:writes:paper/val_mask/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9514] [Rank: 2] edge feature name: paper:rev_writes:author/year/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: author:writes:paper/year/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: institution:writes:paper/year/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: paper:cites:paper/count/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9511] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:affiliated_with:institution1.txt [41798a58345e INFO 2023-01-08 06:08:51,901 PID:9510] [Rank: 0] edge feature name: paper:rev_writes:author/year/1, feature data shape: torch.Size([1500]) [41798a58345e INFO 2023-01-08 06:08:51,902 PID:9515] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:affiliated_with:institution3.txt [41798a58345e INFO 2023-01-08 06:08:51,902 PID:9514] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:affiliated_with:institution2.txt [41798a58345e INFO 2023-01-08 06:08:51,902 PID:9510] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:affiliated_with:institution0.txt [41798a58345e INFO 2023-01-08 06:08:51,903 PID:9511] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:affiliated_with:institution5.txt [41798a58345e INFO 2023-01-08 06:08:51,903 PID:9515] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:affiliated_with:institution7.txt [41798a58345e INFO 2023-01-08 06:08:51,903 PID:9514] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:affiliated_with:institution6.txt [41798a58345e INFO 2023-01-08 06:08:51,903 PID:9510] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:affiliated_with:institution4.txt [41798a58345e INFO 2023-01-08 06:08:51,903 PID:9511] Loading edges of etype[author:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:08:51,903 PID:9515] Loading edges of etype[author:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:08:51,903 PID:9514] Loading edges of etype[author:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:08:51,903 PID:9510] Loading edges of etype[author:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:08:51,904 PID:9511] Loading edges of etype[author:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:08:51,904 PID:9514] Loading edges of etype[author:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:08:51,904 PID:9515] Loading edges of etype[author:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:08:51,904 PID:9510] Loading edges of etype[author:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/author:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:08:51,905 PID:9511] Loading edges of etype[institution:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/institution:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:08:51,905 PID:9514] Loading edges of etype[institution:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/institution:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:08:51,905 PID:9515] Loading edges of etype[institution:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/institution:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:08:51,905 PID:9510] Loading edges of etype[institution:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/institution:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:08:51,906 PID:9511] Loading edges of etype[institution:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/institution:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:08:51,906 PID:9514] Loading edges of etype[institution:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/institution:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:08:51,906 PID:9515] Loading edges of etype[institution:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/institution:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:08:51,906 PID:9510] Loading edges of etype[institution:writes:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/institution:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:08:51,906 PID:9511] Loading edges of etype[paper:cites:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:cites:paper1.txt [41798a58345e INFO 2023-01-08 06:08:51,907 PID:9514] Loading edges of etype[paper:cites:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:cites:paper2.txt [41798a58345e INFO 2023-01-08 06:08:51,908 PID:9515] Loading edges of etype[paper:cites:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:cites:paper3.txt [41798a58345e INFO 2023-01-08 06:08:51,908 PID:9510] Loading edges of etype[paper:cites:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:cites:paper0.txt [41798a58345e INFO 2023-01-08 06:08:51,908 PID:9511] Loading edges of etype[paper:cites:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:cites:paper5.txt [41798a58345e INFO 2023-01-08 06:08:51,909 PID:9514] Loading edges of etype[paper:cites:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:cites:paper6.txt [41798a58345e INFO 2023-01-08 06:08:51,909 PID:9510] Loading edges of etype[paper:cites:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:cites:paper4.txt [41798a58345e INFO 2023-01-08 06:08:51,909 PID:9515] Loading edges of etype[paper:cites:paper] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:cites:paper7.txt [41798a58345e INFO 2023-01-08 06:08:51,910 PID:9511] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:rev_writes:author1.txt [41798a58345e INFO 2023-01-08 06:08:51,911 PID:9510] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:rev_writes:author0.txt [41798a58345e INFO 2023-01-08 06:08:51,911 PID:9514] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:rev_writes:author2.txt [41798a58345e INFO 2023-01-08 06:08:51,911 PID:9511] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:rev_writes:author5.txt [41798a58345e INFO 2023-01-08 06:08:51,911 PID:9515] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:rev_writes:author3.txt [41798a58345e INFO 2023-01-08 06:08:51,912 PID:9510] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:rev_writes:author4.txt [41798a58345e INFO 2023-01-08 06:08:51,912 PID:9514] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:rev_writes:author6.txt [41798a58345e INFO 2023-01-08 06:08:51,912 PID:9515] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp1wq_3m99/chunked-data/edge_index/paper:rev_writes:author7.txt [41798a58345e INFO 2023-01-08 06:08:51,913 PID:9511] [Rank: 1] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:51,913 PID:9511] Rank: 1 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(1500, 3000)], 'author:writes:paper/orig_ids/1': [(7500, 9000)], 'author:writes:paper/test_mask/0': [(1500, 3000)], 'author:writes:paper/test_mask/1': [(7500, 9000)], 'author:writes:paper/train_mask/0': [(1500, 3000)], 'author:writes:paper/train_mask/1': [(7500, 9000)], 'author:writes:paper/val_mask/0': [(1500, 3000)], 'author:writes:paper/val_mask/1': [(7500, 9000)], 'author:writes:paper/year/0': [(1500, 3000)], 'author:writes:paper/year/1': [(7500, 9000)], 'institution:writes:paper/year/0': [(1500, 3000)], 'institution:writes:paper/year/1': [(7500, 9000)], 'paper:cites:paper/count/0': [(3000, 6000)], 'paper:cites:paper/count/1': [(15000, 18000)], 'paper:rev_writes:author/year/0': [(1500, 3000)], 'paper:rev_writes:author/year/1': [(7500, 9000)]} [41798a58345e INFO 2023-01-08 06:08:51,913 PID:9511] [Rank: 1] Done reading dataset /tmp/tmp1wq_3m99/chunked-data [41798a58345e INFO 2023-01-08 06:08:51,914 PID:9514] [Rank: 2] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:51,914 PID:9514] Rank: 2 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(3000, 4500)], 'author:writes:paper/orig_ids/1': [(9000, 10500)], 'author:writes:paper/test_mask/0': [(3000, 4500)], 'author:writes:paper/test_mask/1': [(9000, 10500)], 'author:writes:paper/train_mask/0': [(3000, 4500)], 'author:writes:paper/train_mask/1': [(9000, 10500)], 'author:writes:paper/val_mask/0': [(3000, 4500)], 'author:writes:paper/val_mask/1': [(9000, 10500)], 'author:writes:paper/year/0': [(3000, 4500)], 'author:writes:paper/year/1': [(9000, 10500)], 'institution:writes:paper/year/0': [(3000, 4500)], 'institution:writes:paper/year/1': [(9000, 10500)], 'paper:cites:paper/count/0': [(6000, 9000)], 'paper:cites:paper/count/1': [(18000, 21000)], 'paper:rev_writes:author/year/0': [(3000, 4500)], 'paper:rev_writes:author/year/1': [(9000, 10500)]} [41798a58345e INFO 2023-01-08 06:08:51,914 PID:9514] [Rank: 2] Done reading dataset /tmp/tmp1wq_3m99/chunked-data [41798a58345e INFO 2023-01-08 06:08:51,914 PID:9510] [Rank: 0] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:51,914 PID:9510] Rank: 0 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(0, 1500)], 'author:writes:paper/orig_ids/1': [(6000, 7500)], 'author:writes:paper/test_mask/0': [(0, 1500)], 'author:writes:paper/test_mask/1': [(6000, 7500)], 'author:writes:paper/train_mask/0': [(0, 1500)], 'author:writes:paper/train_mask/1': [(6000, 7500)], 'author:writes:paper/val_mask/0': [(0, 1500)], 'author:writes:paper/val_mask/1': [(6000, 7500)], 'author:writes:paper/year/0': [(0, 1500)], 'author:writes:paper/year/1': [(6000, 7500)], 'institution:writes:paper/year/0': [(0, 1500)], 'institution:writes:paper/year/1': [(6000, 7500)], 'paper:cites:paper/count/0': [(0, 3000)], 'paper:cites:paper/count/1': [(12000, 15000)], 'paper:rev_writes:author/year/0': [(0, 1500)], 'paper:rev_writes:author/year/1': [(6000, 7500)]} [41798a58345e INFO 2023-01-08 06:08:51,914 PID:9510] [Rank: 0] Done reading dataset /tmp/tmp1wq_3m99/chunked-data [41798a58345e INFO 2023-01-08 06:08:51,914 PID:9515] [Rank: 3] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:08:51,914 PID:9515] Rank: 3 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(4500, 6000)], 'author:writes:paper/orig_ids/1': [(10500, 12000)], 'author:writes:paper/test_mask/0': [(4500, 6000)], 'author:writes:paper/test_mask/1': [(10500, 12000)], 'author:writes:paper/train_mask/0': [(4500, 6000)], 'author:writes:paper/train_mask/1': [(10500, 12000)], 'author:writes:paper/val_mask/0': [(4500, 6000)], 'author:writes:paper/val_mask/1': [(10500, 12000)], 'author:writes:paper/year/0': [(4500, 6000)], 'author:writes:paper/year/1': [(10500, 12000)], 'institution:writes:paper/year/0': [(4500, 6000)], 'institution:writes:paper/year/1': [(10500, 12000)], 'paper:cites:paper/count/0': [(9000, 12000)], 'paper:cites:paper/count/1': [(21000, 24000)], 'paper:rev_writes:author/year/0': [(4500, 6000)], 'paper:rev_writes:author/year/1': [(10500, 12000)]} [41798a58345e INFO 2023-01-08 06:08:51,914 PID:9515] [Rank: 3] Done reading dataset /tmp/tmp1wq_3m99/chunked-data [41798a58345e INFO 2023-01-08 06:08:52,148 PID:9514] [Rank: 2] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:52,148 PID:9514] [Rank: 2] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:52,148 PID:9515] [Rank: 3] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:52,148 PID:9515] [Rank: 3] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:52,148 PID:9511] [Rank: 1] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:52,148 PID:9511] [Rank: 1] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:52,148 PID:9510] [Rank: 0] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:08:52,148 PID:9510] [Rank: 0] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:08:52,149 PID:9514] [Rank: 2] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:52,149 PID:9511] [Rank: 1] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:52,149 PID:9510] [Rank: 0] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:52,149 PID:9515] [Rank: 3] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:52,490 PID:9515] [Rank: 3] processing feature: author/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:52,490 PID:9510] [Rank: 0] processing feature: author/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:52,490 PID:9511] [Rank: 1] processing feature: author/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:52,490 PID:9514] [Rank: 2] processing feature: author/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:52,779 PID:9510] [Rank: 0] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:52,779 PID:9514] [Rank: 2] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:52,779 PID:9515] [Rank: 3] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:52,779 PID:9511] [Rank: 1] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:53,063 PID:9514] [Rank: 2] processing feature: author/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:53,063 PID:9511] [Rank: 1] processing feature: author/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:53,063 PID:9515] [Rank: 3] processing feature: author/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:53,063 PID:9510] [Rank: 0] processing feature: author/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:53,336 PID:9514] [Rank: 2] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:53,336 PID:9510] [Rank: 0] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:53,335 PID:9511] [Rank: 1] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:53,336 PID:9515] [Rank: 3] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:53,579 PID:9510] [Rank: 0] processing feature: author/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:53,579 PID:9515] [Rank: 3] processing feature: author/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:53,580 PID:9514] [Rank: 2] processing feature: author/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:53,579 PID:9511] [Rank: 1] processing feature: author/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:53,871 PID:9510] [Rank: 0] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:53,871 PID:9514] [Rank: 2] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:53,871 PID:9515] [Rank: 3] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:53,871 PID:9511] [Rank: 1] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:54,144 PID:9510] [Rank: 0] processing feature: institution/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:54,144 PID:9515] [Rank: 3] processing feature: institution/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:54,144 PID:9511] [Rank: 1] processing feature: institution/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:54,144 PID:9514] [Rank: 2] processing feature: institution/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:54,417 PID:9510] [Rank: 0] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:54,417 PID:9514] [Rank: 2] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:54,417 PID:9515] [Rank: 3] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:54,417 PID:9511] [Rank: 1] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:54,674 PID:9514] [Rank: 2] processing feature: institution/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:54,674 PID:9511] [Rank: 1] processing feature: institution/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:54,674 PID:9510] [Rank: 0] processing feature: institution/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:54,674 PID:9515] [Rank: 3] processing feature: institution/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:54,917 PID:9514] [Rank: 2] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:54,917 PID:9510] [Rank: 0] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:54,917 PID:9511] [Rank: 1] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:54,917 PID:9515] [Rank: 3] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:55,191 PID:9514] [Rank: 2] processing feature: institution/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:55,191 PID:9510] [Rank: 0] processing feature: institution/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:55,191 PID:9515] [Rank: 3] processing feature: institution/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:55,191 PID:9511] [Rank: 1] processing feature: institution/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:55,441 PID:9515] [Rank: 3] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:55,441 PID:9510] [Rank: 0] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:55,441 PID:9511] [Rank: 1] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:55,441 PID:9514] [Rank: 2] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:08:55,696 PID:9515] [Rank: 3] processing feature: paper/feat/1 [41798a58345e INFO 2023-01-08 06:08:55,696 PID:9511] [Rank: 1] processing feature: paper/feat/1 [41798a58345e INFO 2023-01-08 06:08:55,696 PID:9514] [Rank: 2] processing feature: paper/feat/1 [41798a58345e INFO 2023-01-08 06:08:55,696 PID:9510] [Rank: 0] processing feature: paper/feat/1 [41798a58345e INFO 2023-01-08 06:08:55,992 PID:9511] [Rank: 1] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:55,992 PID:9510] [Rank: 0] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:55,992 PID:9514] [Rank: 2] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:55,992 PID:9515] [Rank: 3] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:08:56,257 PID:9510] [Rank: 0] processing feature: paper/label/1 [41798a58345e INFO 2023-01-08 06:08:56,257 PID:9515] [Rank: 3] processing feature: paper/label/1 [41798a58345e INFO 2023-01-08 06:08:56,257 PID:9514] [Rank: 2] processing feature: paper/label/1 [41798a58345e INFO 2023-01-08 06:08:56,257 PID:9511] [Rank: 1] processing feature: paper/label/1 [41798a58345e INFO 2023-01-08 06:08:56,516 PID:9510] [Rank: 0] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:56,516 PID:9514] [Rank: 2] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:56,516 PID:9511] [Rank: 1] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:56,516 PID:9515] [Rank: 3] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:56,793 PID:9510] [Rank: 0] processing feature: paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:08:56,793 PID:9514] [Rank: 2] processing feature: paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:08:56,793 PID:9511] [Rank: 1] processing feature: paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:08:56,793 PID:9515] [Rank: 3] processing feature: paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:08:57,024 PID:9510] [Rank: 0] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:57,024 PID:9514] [Rank: 2] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:57,024 PID:9515] [Rank: 3] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:57,024 PID:9511] [Rank: 1] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:08:57,305 PID:9511] [Rank: 1] processing feature: paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:57,305 PID:9515] [Rank: 3] processing feature: paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:57,305 PID:9510] [Rank: 0] processing feature: paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:57,305 PID:9514] [Rank: 2] processing feature: paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:08:57,599 PID:9510] [Rank: 0] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:57,599 PID:9511] [Rank: 1] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:57,599 PID:9515] [Rank: 3] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:57,599 PID:9514] [Rank: 2] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:08:57,912 PID:9510] [Rank: 0] processing feature: paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:57,912 PID:9515] [Rank: 3] processing feature: paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:57,912 PID:9511] [Rank: 1] processing feature: paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:57,912 PID:9514] [Rank: 2] processing feature: paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:08:58,184 PID:9510] [Rank: 0] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:58,184 PID:9511] [Rank: 1] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:58,184 PID:9514] [Rank: 2] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:58,184 PID:9515] [Rank: 3] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:08:58,558 PID:9510] [Rank: 0] processing feature: paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:58,558 PID:9514] [Rank: 2] processing feature: paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:58,558 PID:9515] [Rank: 3] processing feature: paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:58,563 PID:9511] [Rank: 1] processing feature: paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:08:58,859 PID:9510] [Rank: 0] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:58,860 PID:9511] [Rank: 1] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:58,860 PID:9515] [Rank: 3] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:58,860 PID:9514] [Rank: 2] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:08:59,130 PID:9510] [Rank: 0] processing feature: paper/year/1 [41798a58345e INFO 2023-01-08 06:08:59,130 PID:9514] [Rank: 2] processing feature: paper/year/1 [41798a58345e INFO 2023-01-08 06:08:59,130 PID:9511] [Rank: 1] processing feature: paper/year/1 [41798a58345e INFO 2023-01-08 06:08:59,130 PID:9515] [Rank: 3] processing feature: paper/year/1 [41798a58345e INFO 2023-01-08 06:08:59,401 PID:9511] [Rank: 1] Total time for feature exchange: 0:00:07.252548 [41798a58345e INFO 2023-01-08 06:08:59,402 PID:9510] [Rank: 0] Total time for feature exchange: 0:00:07.252655 [41798a58345e INFO 2023-01-08 06:08:59,401 PID:9515] [Rank: 3] Total time for feature exchange: 0:00:07.252609 [41798a58345e INFO 2023-01-08 06:08:59,402 PID:9514] [Rank: 2] Total time for feature exchange: 0:00:07.252863 [41798a58345e INFO 2023-01-08 06:08:59,402 PID:9511] [Rank: 1] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:59,402 PID:9511] [Rank: 1] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:59,402 PID:9515] [Rank: 3] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:59,402 PID:9515] [Rank: 3] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:59,403 PID:9510] [Rank: 0] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:59,403 PID:9510] [Rank: 0] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:08:59,404 PID:9514] [Rank: 2] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:08:59,405 PID:9514] [Rank: 2] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:00,154 PID:9511] [Rank: 1] processing feature: author:writes:paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:09:00,154 PID:9515] [Rank: 3] processing feature: author:writes:paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:09:00,154 PID:9510] [Rank: 0] processing feature: author:writes:paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:09:00,154 PID:9514] [Rank: 2] processing feature: author:writes:paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:09:00,916 PID:9511] [Rank: 1] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:00,916 PID:9514] [Rank: 2] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:00,916 PID:9515] [Rank: 3] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:00,917 PID:9510] [Rank: 0] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:01,665 PID:9510] [Rank: 0] processing feature: author:writes:paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:09:01,665 PID:9511] [Rank: 1] processing feature: author:writes:paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:09:01,665 PID:9515] [Rank: 3] processing feature: author:writes:paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:09:01,665 PID:9514] [Rank: 2] processing feature: author:writes:paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:09:02,410 PID:9515] [Rank: 3] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:02,410 PID:9510] [Rank: 0] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:02,410 PID:9514] [Rank: 2] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:02,410 PID:9511] [Rank: 1] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:03,168 PID:9515] [Rank: 3] processing feature: author:writes:paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:09:03,168 PID:9510] [Rank: 0] processing feature: author:writes:paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:09:03,168 PID:9514] [Rank: 2] processing feature: author:writes:paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:09:03,168 PID:9511] [Rank: 1] processing feature: author:writes:paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:09:03,897 PID:9511] [Rank: 1] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:03,897 PID:9510] [Rank: 0] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:03,898 PID:9515] [Rank: 3] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:03,897 PID:9514] [Rank: 2] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:04,642 PID:9515] [Rank: 3] processing feature: author:writes:paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:09:04,643 PID:9510] [Rank: 0] processing feature: author:writes:paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:09:04,643 PID:9514] [Rank: 2] processing feature: author:writes:paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:09:04,643 PID:9511] [Rank: 1] processing feature: author:writes:paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:09:05,351 PID:9515] [Rank: 3] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:05,351 PID:9511] [Rank: 1] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:05,351 PID:9510] [Rank: 0] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:05,351 PID:9514] [Rank: 2] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:06,075 PID:9514] [Rank: 2] processing feature: author:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:09:06,075 PID:9515] [Rank: 3] processing feature: author:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:09:06,075 PID:9510] [Rank: 0] processing feature: author:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:09:06,075 PID:9511] [Rank: 1] processing feature: author:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:09:06,788 PID:9514] [Rank: 2] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:06,788 PID:9515] [Rank: 3] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:06,788 PID:9510] [Rank: 0] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:06,788 PID:9511] [Rank: 1] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:07,517 PID:9510] [Rank: 0] processing feature: institution:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:09:07,517 PID:9515] [Rank: 3] processing feature: institution:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:09:07,517 PID:9514] [Rank: 2] processing feature: institution:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:09:07,517 PID:9511] [Rank: 1] processing feature: institution:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:09:08,230 PID:9510] [Rank: 0] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:09:08,230 PID:9515] [Rank: 3] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:09:08,230 PID:9514] [Rank: 2] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:09:08,230 PID:9511] [Rank: 1] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:09:08,927 PID:9510] [Rank: 0] processing feature: paper:cites:paper/count/1 [41798a58345e INFO 2023-01-08 06:09:08,927 PID:9514] [Rank: 2] processing feature: paper:cites:paper/count/1 [41798a58345e INFO 2023-01-08 06:09:08,927 PID:9511] [Rank: 1] processing feature: paper:cites:paper/count/1 [41798a58345e INFO 2023-01-08 06:09:08,927 PID:9515] [Rank: 3] processing feature: paper:cites:paper/count/1 [41798a58345e INFO 2023-01-08 06:09:09,642 PID:9510] [Rank: 0] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:09:09,642 PID:9511] [Rank: 1] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:09:09,642 PID:9515] [Rank: 3] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:09:09,642 PID:9514] [Rank: 2] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:09:10,304 PID:9510] [Rank: 0] processing feature: paper:rev_writes:author/year/1 [41798a58345e INFO 2023-01-08 06:09:10,304 PID:9515] [Rank: 3] processing feature: paper:rev_writes:author/year/1 [41798a58345e INFO 2023-01-08 06:09:10,304 PID:9514] [Rank: 2] processing feature: paper:rev_writes:author/year/1 [41798a58345e INFO 2023-01-08 06:09:10,304 PID:9511] [Rank: 1] processing feature: paper:rev_writes:author/year/1 [41798a58345e INFO 2023-01-08 06:09:10,995 PID:9511] [Rank: 1] Total time for feature exchange: 0:00:11.593158 [41798a58345e INFO 2023-01-08 06:09:10,996 PID:9511] [Rank: 1] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:09:10,996 PID:9514] [Rank: 2] Total time for feature exchange: 0:00:11.590855 [41798a58345e INFO 2023-01-08 06:09:10,996 PID:9514] [Rank: 2] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:09:10,996 PID:9515] [Rank: 3] Total time for feature exchange: 0:00:11.593070 [41798a58345e INFO 2023-01-08 06:09:10,996 PID:9515] [Rank: 3] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:09:10,996 PID:9510] [Rank: 0] Total time for feature exchange: 0:00:11.592624 [41798a58345e INFO 2023-01-08 06:09:10,996 PID:9510] [Rank: 0] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:09:11,261 PID:9510] [Rank: 0] Time to send/rcv edge data: 0:00:00.008248 [41798a58345e INFO 2023-01-08 06:09:11,261 PID:9514] [Rank: 2] Time to send/rcv edge data: 0:00:00.006107 [41798a58345e INFO 2023-01-08 06:09:11,261 PID:9515] [Rank: 3] Time to send/rcv edge data: 0:00:00.007549 [41798a58345e INFO 2023-01-08 06:09:11,261 PID:9511] [Rank: 1] Time to send/rcv edge data: 0:00:00.008475 [41798a58345e INFO 2023-01-08 06:09:11,308 PID:9514] [Rank: 2] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:09:11,311 PID:9511] [Rank: 1] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:09:11,332 PID:9514] [Rank: 2] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:09:11,335 PID:9511] [Rank: 1] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:09:11,369 PID:9515] [Rank: 3] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:09:11,370 PID:9510] [Rank: 0] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:09:11,395 PID:9515] [Rank: 3] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:09:11,398 PID:9510] [Rank: 0] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:09:11,399 PID:9510] [Rank: 0] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:09:11,399 PID:9515] [Rank: 3] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:09:11,399 PID:9514] [Rank: 2] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:09:11,399 PID:9511] [Rank: 1] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:09:11,446 PID:9510] [Rank: 0] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:09:11,446 PID:9511] [Rank: 1] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:09:11,446 PID:9515] [Rank: 3] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:09:11,446 PID:9514] [Rank: 2] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:09:11,664 PID:9514] [Rank: 2] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:09:11,664 PID:9510] [Rank: 0] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:09:11,664 PID:9515] [Rank: 3] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:09:11,664 PID:9511] [Rank: 1] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:09:11,906 PID:9514] There are 7884 edges in partition 2 [41798a58345e INFO 2023-01-08 06:09:11,906 PID:9511] There are 8073 edges in partition 1 [41798a58345e INFO 2023-01-08 06:09:12,128 PID:9510] There are 7605 edges in partition 0 [41798a58345e INFO 2023-01-08 06:09:12,164 PID:9515] There are 7726 edges in partition 3 [41798a58345e INFO 2023-01-08 06:09:12,178 PID:9514] There are 7202 edges in partition 6 [41798a58345e INFO 2023-01-08 06:09:12,200 PID:9511] There are 8026 edges in partition 5 [41798a58345e INFO 2023-01-08 06:09:12,442 PID:9510] There are 8450 edges in partition 4 [41798a58345e INFO 2023-01-08 06:09:12,470 PID:9515] There are 7434 edges in partition 7 [41798a58345e INFO 2023-01-08 06:09:12,477 PID:9515] [Rank: 3] Time to create dgl objects: 0:00:00.813227 [41798a58345e INFO 2023-01-08 06:09:12,478 PID:9515] [Rank: 3] Total execution time of the program: 0:00:21.427574 [41798a58345e INFO 2023-01-08 06:09:12,478 PID:9514] [Rank: 2] Time to create dgl objects: 0:00:00.813455 [41798a58345e INFO 2023-01-08 06:09:12,478 PID:9511] [Rank: 1] Time to create dgl objects: 0:00:00.813388 [41798a58345e INFO 2023-01-08 06:09:12,478 PID:9515] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 3 Edge data is already sorted !!! [Rank: 7 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:09:12,478 PID:9514] [Rank: 2] Total execution time of the program: 0:00:21.428399 [41798a58345e INFO 2023-01-08 06:09:12,479 PID:9511] [Rank: 1] Total execution time of the program: 0:00:21.428560 [41798a58345e INFO 2023-01-08 06:09:12,479 PID:9514] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! [Rank: 6 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:09:12,480 PID:9510] [Rank: 0] Time to create dgl objects: 0:00:00.815494 [41798a58345e INFO 2023-01-08 06:09:12,480 PID:9511] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [Rank: 5 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:09:12,480 PID:9510] [Rank: 0] Total execution time of the program: 0:00:21.431407 [41798a58345e INFO 2023-01-08 06:09:12,481 PID:9510] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! [Rank: 4 Edge data is already sorted !!! PASSED [ 75%] tests/tools/test_dist_part.py::test_pipeline_arbitray_chunks[8-4-2-num_chunks_node_data3-num_chunks_edge_data3] Done with creating chunked graph INFO:root:Changing directory to /tmp/tmp46f8wupn/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4483@7 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4483@7 /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp46f8wupn/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmp46f8wupn/parted_data --input-dir /tmp/tmp46f8wupn/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp46f8wupn/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp46f8wupn/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmp46f8wupn/parted_data --input-dir /tmp/tmp46f8wupn/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp46f8wupn/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp46f8wupn/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmp46f8wupn/parted_data --input-dir /tmp/tmp46f8wupn/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp46f8wupn/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs [41798a58345e INFO 2023-01-08 06:09:16,629 PID:10127] Added key: store_based_barrier_key:1 to store for rank: 1 [41798a58345e INFO 2023-01-08 06:09:16,629 PID:10127] Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 2 nodes. [41798a58345e INFO 2023-01-08 06:09:16,629 PID:10128] Added key: store_based_barrier_key:1 to store for rank: 0 [41798a58345e INFO 2023-01-08 06:09:16,629 PID:10128] Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 2 nodes. [41798a58345e INFO 2023-01-08 06:09:16,629 PID:10128] [Rank: 0] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:09:16,629 PID:10127] [Rank: 1] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:09:16,629 PID:10128] [Rank: 0] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:09:16,629 PID:10127] [Rank: 1] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:09:16,630 PID:10127] [Rank: 1] Reading file: /tmp/tmp46f8wupn/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:09:16,630 PID:10128] [Rank: 0] Reading file: /tmp/tmp46f8wupn/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:09:16,632 PID:10127] [Rank: 1] Reading file: /tmp/tmp46f8wupn/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:09:16,632 PID:10128] [Rank: 0] Reading file: /tmp/tmp46f8wupn/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:09:16,633 PID:10127] [Rank: 1] Reading file: /tmp/tmp46f8wupn/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:09:16,633 PID:10128] [Rank: 0] Reading file: /tmp/tmp46f8wupn/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:09:16,634 PID:10127] [Rank: 1] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:09:16,634 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,634 PID:10128] [Rank: 0] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:09:16,635 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:09:16,635 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,635 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,635 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:09:16,635 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,636 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:16,636 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:09:16,636 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,636 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,636 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:09:16,636 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:16,636 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,637 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:16,637 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,638 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:16,695 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,695 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,695 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:16,695 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,695 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:09:16,696 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,696 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:16,696 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,696 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:09:16,696 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,696 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:16,696 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,696 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:09:16,696 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:16,696 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,697 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:09:16,724 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,724 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,725 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:09:16,725 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:16,725 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,725 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,725 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:09:16,725 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:16,725 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,725 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,725 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:09:16,725 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:16,725 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,725 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,726 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:09:16,726 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/author/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:16,752 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,752 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,752 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:09:16,752 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:16,752 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,752 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,752 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:09:16,752 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:16,752 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,752 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,753 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:09:16,753 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:16,753 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,753 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,753 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:09:16,753 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:16,778 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,778 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,779 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:09:16,779 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:16,779 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,779 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,779 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:09:16,779 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:16,779 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,779 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,780 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:09:16,780 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:16,780 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,780 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,780 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:09:16,780 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:16,805 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,805 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,806 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:09:16,806 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:16,806 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,806 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,806 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:09:16,806 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:16,806 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,806 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,806 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:09:16,806 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:16,807 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,807 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,807 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:09:16,807 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/institution/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:16,832 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,832 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,833 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-6.npy [41798a58345e INFO 2023-01-08 06:09:16,833 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-0.npy [41798a58345e INFO 2023-01-08 06:09:16,833 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,833 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,833 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-7.npy [41798a58345e INFO 2023-01-08 06:09:16,833 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-1.npy [41798a58345e INFO 2023-01-08 06:09:16,833 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,833 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,834 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-8.npy [41798a58345e INFO 2023-01-08 06:09:16,834 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-2.npy [41798a58345e INFO 2023-01-08 06:09:16,834 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,834 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,834 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-9.npy [41798a58345e INFO 2023-01-08 06:09:16,834 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-3.npy [41798a58345e INFO 2023-01-08 06:09:16,834 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,834 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,834 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-10.npy [41798a58345e INFO 2023-01-08 06:09:16,834 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-4.npy [41798a58345e INFO 2023-01-08 06:09:16,834 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,834 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/feat-5.npy [41798a58345e INFO 2023-01-08 06:09:16,860 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,860 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,860 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-0.npy [41798a58345e INFO 2023-01-08 06:09:16,860 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-4.npy [41798a58345e INFO 2023-01-08 06:09:16,860 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,860 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,861 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-1.npy [41798a58345e INFO 2023-01-08 06:09:16,861 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-5.npy [41798a58345e INFO 2023-01-08 06:09:16,861 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,861 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,861 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-6.npy [41798a58345e INFO 2023-01-08 06:09:16,861 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-2.npy [41798a58345e INFO 2023-01-08 06:09:16,861 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,861 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,861 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-7.npy [41798a58345e INFO 2023-01-08 06:09:16,861 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/label-3.npy [41798a58345e INFO 2023-01-08 06:09:16,887 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,887 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,887 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-4.npy [41798a58345e INFO 2023-01-08 06:09:16,887 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:09:16,887 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,887 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,888 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-5.npy [41798a58345e INFO 2023-01-08 06:09:16,888 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:09:16,888 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,888 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,888 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-6.npy [41798a58345e INFO 2023-01-08 06:09:16,888 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:09:16,888 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,888 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,888 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-7.npy [41798a58345e INFO 2023-01-08 06:09:16,888 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:09:16,914 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,914 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,914 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:09:16,914 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:16,914 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,914 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,915 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:09:16,915 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:16,915 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,915 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,915 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:09:16,915 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:16,915 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,915 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,915 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:09:16,915 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:16,941 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,941 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,942 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:09:16,942 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:16,942 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,942 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,942 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:09:16,942 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:16,942 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,942 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,942 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:09:16,942 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:16,942 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,942 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,943 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:09:16,943 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:16,968 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,968 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,969 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:09:16,969 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:16,969 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,969 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,969 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:16,969 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:09:16,969 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,969 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,969 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:09:16,969 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:16,969 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,969 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,969 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:09:16,969 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:16,995 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:16,996 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/node_data/paper/year-0.npy [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: author/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: author/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: author/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: institution/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: institution/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: institution/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: paper/feat/1, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: paper/label/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: author/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: author/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: author/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: institution/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: institution/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: paper/orig_ids/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: paper/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: institution/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: paper/feat/1, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: paper/label/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: paper/orig_ids/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: paper/test_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10127] [Rank: 1] node feature name: paper/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10127] [Rank: 1] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10127] [Rank: 1] node feature name: paper/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,021 PID:10128] [Rank: 0] node feature name: paper/train_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10128] [Rank: 0] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10128] [Rank: 0] node feature name: paper/val_mask/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10127] [Rank: 1] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10128] [Rank: 0] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10127] [Rank: 1] node feature name: paper/year/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10128] [Rank: 0] node feature name: paper/year/1, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-4.npy [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-5.npy [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,022 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,023 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-6.npy [41798a58345e INFO 2023-01-08 06:09:17,023 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:09:17,023 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,023 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,023 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-7.npy [41798a58345e INFO 2023-01-08 06:09:17,023 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:09:17,049 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,049 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,049 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-4.npy [41798a58345e INFO 2023-01-08 06:09:17,049 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:17,049 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,049 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,050 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-5.npy [41798a58345e INFO 2023-01-08 06:09:17,050 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:17,050 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,050 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,050 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-6.npy [41798a58345e INFO 2023-01-08 06:09:17,050 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:17,050 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,050 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,050 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-7.npy [41798a58345e INFO 2023-01-08 06:09:17,050 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:17,076 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,076 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,076 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:17,076 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-4.npy [41798a58345e INFO 2023-01-08 06:09:17,076 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,076 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,076 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:17,076 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-5.npy [41798a58345e INFO 2023-01-08 06:09:17,077 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,077 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,077 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-6.npy [41798a58345e INFO 2023-01-08 06:09:17,077 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:17,077 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,077 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,077 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-7.npy [41798a58345e INFO 2023-01-08 06:09:17,077 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:17,103 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,103 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,103 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-4.npy [41798a58345e INFO 2023-01-08 06:09:17,103 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:17,103 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,103 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,103 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-5.npy [41798a58345e INFO 2023-01-08 06:09:17,103 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:17,103 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,103 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,104 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-6.npy [41798a58345e INFO 2023-01-08 06:09:17,104 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:17,104 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,104 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,104 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-7.npy [41798a58345e INFO 2023-01-08 06:09:17,104 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:17,130 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-12.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,130 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,130 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-12.npy [41798a58345e INFO 2023-01-08 06:09:17,130 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:09:17,130 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-13.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,130 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,130 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:09:17,130 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-13.npy [41798a58345e INFO 2023-01-08 06:09:17,130 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,130 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-14.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,131 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:09:17,131 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-14.npy [41798a58345e INFO 2023-01-08 06:09:17,131 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,131 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-15.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,131 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:09:17,131 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-15.npy [41798a58345e INFO 2023-01-08 06:09:17,131 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,131 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-16.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,131 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:09:17,131 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-16.npy [41798a58345e INFO 2023-01-08 06:09:17,131 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,131 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-17.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,131 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-5.npy [41798a58345e INFO 2023-01-08 06:09:17,131 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-17.npy [41798a58345e INFO 2023-01-08 06:09:17,132 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,132 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-18.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,132 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-6.npy [41798a58345e INFO 2023-01-08 06:09:17,132 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-18.npy [41798a58345e INFO 2023-01-08 06:09:17,132 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,132 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-19.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,132 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-7.npy [41798a58345e INFO 2023-01-08 06:09:17,132 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-19.npy [41798a58345e INFO 2023-01-08 06:09:17,132 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-8.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,132 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-20.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,132 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-8.npy [41798a58345e INFO 2023-01-08 06:09:17,132 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-20.npy [41798a58345e INFO 2023-01-08 06:09:17,132 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-9.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,132 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-21.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,133 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-9.npy [41798a58345e INFO 2023-01-08 06:09:17,133 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-21.npy [41798a58345e INFO 2023-01-08 06:09:17,133 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-10.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,133 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-22.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,133 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-22.npy [41798a58345e INFO 2023-01-08 06:09:17,133 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-10.npy [41798a58345e INFO 2023-01-08 06:09:17,133 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-23.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,133 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-11.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,133 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-23.npy [41798a58345e INFO 2023-01-08 06:09:17,133 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/author:writes:paper/year-11.npy [41798a58345e INFO 2023-01-08 06:09:17,159 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,159 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,159 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-4.npy [41798a58345e INFO 2023-01-08 06:09:17,159 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:09:17,159 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,159 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,160 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:09:17,160 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-5.npy [41798a58345e INFO 2023-01-08 06:09:17,160 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,160 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,160 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-6.npy [41798a58345e INFO 2023-01-08 06:09:17,160 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:09:17,160 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,160 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,160 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-7.npy [41798a58345e INFO 2023-01-08 06:09:17,160 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/institution:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:09:17,186 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,186 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,186 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-4.npy [41798a58345e INFO 2023-01-08 06:09:17,186 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-0.npy [41798a58345e INFO 2023-01-08 06:09:17,187 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,187 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,187 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-5.npy [41798a58345e INFO 2023-01-08 06:09:17,187 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-1.npy [41798a58345e INFO 2023-01-08 06:09:17,187 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,187 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,187 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-6.npy [41798a58345e INFO 2023-01-08 06:09:17,187 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-2.npy [41798a58345e INFO 2023-01-08 06:09:17,187 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,187 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,187 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-7.npy [41798a58345e INFO 2023-01-08 06:09:17,187 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:cites:paper/count-3.npy [41798a58345e INFO 2023-01-08 06:09:17,213 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-4.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,213 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,214 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-4.npy [41798a58345e INFO 2023-01-08 06:09:17,214 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [41798a58345e INFO 2023-01-08 06:09:17,214 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-5.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,214 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,214 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-5.npy [41798a58345e INFO 2023-01-08 06:09:17,214 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [41798a58345e INFO 2023-01-08 06:09:17,214 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-6.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,214 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,214 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-6.npy [41798a58345e INFO 2023-01-08 06:09:17,214 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [41798a58345e INFO 2023-01-08 06:09:17,214 PID:10127] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-7.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,214 PID:10128] Reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:17,215 PID:10127] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-7.npy [41798a58345e INFO 2023-01-08 06:09:17,215 PID:10128] Done reading from /tmp/tmp46f8wupn/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: author:writes:paper/orig_ids/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: author:writes:paper/test_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: author:writes:paper/train_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: author:writes:paper/val_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: author:writes:paper/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: institution:writes:paper/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: paper:cites:paper/count/1, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] [Rank: 1] edge feature name: paper:rev_writes:author/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: author:writes:paper/orig_ids/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: author:writes:paper/test_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: author:writes:paper/train_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: author:writes:paper/val_mask/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: author:writes:paper/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: institution:writes:paper/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: paper:cites:paper/count/1, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] [Rank: 0] edge feature name: paper:rev_writes:author/year/1, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10127] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:affiliated_with:institution2.txt [41798a58345e INFO 2023-01-08 06:09:17,241 PID:10128] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:affiliated_with:institution0.txt [41798a58345e INFO 2023-01-08 06:09:17,242 PID:10127] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:affiliated_with:institution3.txt [41798a58345e INFO 2023-01-08 06:09:17,242 PID:10128] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:affiliated_with:institution1.txt [41798a58345e INFO 2023-01-08 06:09:17,243 PID:10128] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:affiliated_with:institution4.txt [41798a58345e INFO 2023-01-08 06:09:17,243 PID:10127] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:affiliated_with:institution6.txt [41798a58345e INFO 2023-01-08 06:09:17,243 PID:10128] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:affiliated_with:institution5.txt [41798a58345e INFO 2023-01-08 06:09:17,243 PID:10127] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:affiliated_with:institution7.txt [41798a58345e INFO 2023-01-08 06:09:17,244 PID:10128] Loading edges of etype[author:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:09:17,244 PID:10127] Loading edges of etype[author:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:09:17,245 PID:10128] Loading edges of etype[author:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:09:17,245 PID:10127] Loading edges of etype[author:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:09:17,245 PID:10128] Loading edges of etype[author:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:09:17,245 PID:10127] Loading edges of etype[author:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:09:17,246 PID:10127] Loading edges of etype[author:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:09:17,246 PID:10128] Loading edges of etype[author:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/author:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:09:17,247 PID:10127] Loading edges of etype[institution:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/institution:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:09:17,247 PID:10128] Loading edges of etype[institution:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/institution:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:09:17,247 PID:10127] Loading edges of etype[institution:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/institution:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:09:17,247 PID:10128] Loading edges of etype[institution:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/institution:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:09:17,248 PID:10127] Loading edges of etype[institution:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/institution:writes:paper6.txt [41798a58345e INFO 2023-01-08 06:09:17,248 PID:10128] Loading edges of etype[institution:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/institution:writes:paper4.txt [41798a58345e INFO 2023-01-08 06:09:17,249 PID:10127] Loading edges of etype[institution:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/institution:writes:paper7.txt [41798a58345e INFO 2023-01-08 06:09:17,249 PID:10128] Loading edges of etype[institution:writes:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/institution:writes:paper5.txt [41798a58345e INFO 2023-01-08 06:09:17,250 PID:10127] Loading edges of etype[paper:cites:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:cites:paper2.txt [41798a58345e INFO 2023-01-08 06:09:17,250 PID:10128] Loading edges of etype[paper:cites:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:cites:paper0.txt [41798a58345e INFO 2023-01-08 06:09:17,250 PID:10128] Loading edges of etype[paper:cites:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:cites:paper1.txt [41798a58345e INFO 2023-01-08 06:09:17,250 PID:10127] Loading edges of etype[paper:cites:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:cites:paper3.txt [41798a58345e INFO 2023-01-08 06:09:17,251 PID:10127] Loading edges of etype[paper:cites:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:cites:paper6.txt [41798a58345e INFO 2023-01-08 06:09:17,251 PID:10128] Loading edges of etype[paper:cites:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:cites:paper4.txt [41798a58345e INFO 2023-01-08 06:09:17,252 PID:10127] Loading edges of etype[paper:cites:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:cites:paper7.txt [41798a58345e INFO 2023-01-08 06:09:17,252 PID:10128] Loading edges of etype[paper:cites:paper] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:cites:paper5.txt [41798a58345e INFO 2023-01-08 06:09:17,253 PID:10127] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:rev_writes:author2.txt [41798a58345e INFO 2023-01-08 06:09:17,253 PID:10128] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:rev_writes:author0.txt [41798a58345e INFO 2023-01-08 06:09:17,254 PID:10127] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:rev_writes:author3.txt [41798a58345e INFO 2023-01-08 06:09:17,254 PID:10128] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:rev_writes:author1.txt [41798a58345e INFO 2023-01-08 06:09:17,255 PID:10127] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:rev_writes:author6.txt [41798a58345e INFO 2023-01-08 06:09:17,255 PID:10128] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:rev_writes:author4.txt [41798a58345e INFO 2023-01-08 06:09:17,255 PID:10127] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:rev_writes:author7.txt [41798a58345e INFO 2023-01-08 06:09:17,255 PID:10128] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp46f8wupn/chunked-data/edge_index/paper:rev_writes:author5.txt [41798a58345e INFO 2023-01-08 06:09:17,257 PID:10127] [Rank: 1] Done reading edge_file: 4, (31200,) [41798a58345e INFO 2023-01-08 06:09:17,257 PID:10128] [Rank: 0] Done reading edge_file: 4, (31200,) [41798a58345e INFO 2023-01-08 06:09:17,257 PID:10127] Rank: 1 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(3000, 6000)], 'author:writes:paper/orig_ids/1': [(9000, 12000)], 'author:writes:paper/test_mask/0': [(3000, 6000)], 'author:writes:paper/test_mask/1': [(9000, 12000)], 'author:writes:paper/train_mask/0': [(3000, 6000)], 'author:writes:paper/train_mask/1': [(9000, 12000)], 'author:writes:paper/val_mask/0': [(3000, 6000)], 'author:writes:paper/val_mask/1': [(9000, 12000)], 'author:writes:paper/year/0': [(3000, 6000)], 'author:writes:paper/year/1': [(9000, 12000)], 'institution:writes:paper/year/0': [(3000, 6000)], 'institution:writes:paper/year/1': [(9000, 12000)], 'paper:cites:paper/count/0': [(6000, 12000)], 'paper:cites:paper/count/1': [(18000, 24000)], 'paper:rev_writes:author/year/0': [(3000, 6000)], 'paper:rev_writes:author/year/1': [(9000, 12000)]} [41798a58345e INFO 2023-01-08 06:09:17,257 PID:10128] Rank: 0 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(0, 3000)], 'author:writes:paper/orig_ids/1': [(6000, 9000)], 'author:writes:paper/test_mask/0': [(0, 3000)], 'author:writes:paper/test_mask/1': [(6000, 9000)], 'author:writes:paper/train_mask/0': [(0, 3000)], 'author:writes:paper/train_mask/1': [(6000, 9000)], 'author:writes:paper/val_mask/0': [(0, 3000)], 'author:writes:paper/val_mask/1': [(6000, 9000)], 'author:writes:paper/year/0': [(0, 3000)], 'author:writes:paper/year/1': [(6000, 9000)], 'institution:writes:paper/year/0': [(0, 3000)], 'institution:writes:paper/year/1': [(6000, 9000)], 'paper:cites:paper/count/0': [(0, 6000)], 'paper:cites:paper/count/1': [(12000, 18000)], 'paper:rev_writes:author/year/0': [(0, 3000)], 'paper:rev_writes:author/year/1': [(6000, 9000)]} [41798a58345e INFO 2023-01-08 06:09:17,257 PID:10127] [Rank: 1] Done reading dataset /tmp/tmp46f8wupn/chunked-data [41798a58345e INFO 2023-01-08 06:09:17,257 PID:10128] [Rank: 0] Done reading dataset /tmp/tmp46f8wupn/chunked-data [41798a58345e INFO 2023-01-08 06:09:17,346 PID:10127] [Rank: 1] Done augmenting edge_data: 6, (31200,) [41798a58345e INFO 2023-01-08 06:09:17,346 PID:10127] [Rank: 1] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:09:17,346 PID:10128] [Rank: 0] Done augmenting edge_data: 6, (31200,) [41798a58345e INFO 2023-01-08 06:09:17,346 PID:10128] [Rank: 0] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:09:17,346 PID:10128] [Rank: 0] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:17,346 PID:10127] [Rank: 1] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:17,418 PID:10127] [Rank: 1] processing feature: author/test_mask/1 [41798a58345e INFO 2023-01-08 06:09:17,418 PID:10128] [Rank: 0] processing feature: author/test_mask/1 [41798a58345e INFO 2023-01-08 06:09:17,473 PID:10128] [Rank: 0] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:17,473 PID:10127] [Rank: 1] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:17,527 PID:10127] [Rank: 1] processing feature: author/train_mask/1 [41798a58345e INFO 2023-01-08 06:09:17,527 PID:10128] [Rank: 0] processing feature: author/train_mask/1 [41798a58345e INFO 2023-01-08 06:09:17,575 PID:10127] [Rank: 1] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:17,575 PID:10128] [Rank: 0] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:17,626 PID:10128] [Rank: 0] processing feature: author/val_mask/1 [41798a58345e INFO 2023-01-08 06:09:17,626 PID:10127] [Rank: 1] processing feature: author/val_mask/1 [41798a58345e INFO 2023-01-08 06:09:17,676 PID:10127] [Rank: 1] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:17,676 PID:10128] [Rank: 0] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:17,733 PID:10127] [Rank: 1] processing feature: institution/test_mask/1 [41798a58345e INFO 2023-01-08 06:09:17,733 PID:10128] [Rank: 0] processing feature: institution/test_mask/1 [41798a58345e INFO 2023-01-08 06:09:17,786 PID:10127] [Rank: 1] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:17,786 PID:10128] [Rank: 0] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:17,835 PID:10128] [Rank: 0] processing feature: institution/train_mask/1 [41798a58345e INFO 2023-01-08 06:09:17,835 PID:10127] [Rank: 1] processing feature: institution/train_mask/1 [41798a58345e INFO 2023-01-08 06:09:17,885 PID:10128] [Rank: 0] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:17,885 PID:10127] [Rank: 1] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:17,935 PID:10127] [Rank: 1] processing feature: institution/val_mask/1 [41798a58345e INFO 2023-01-08 06:09:17,935 PID:10128] [Rank: 0] processing feature: institution/val_mask/1 [41798a58345e INFO 2023-01-08 06:09:17,984 PID:10128] [Rank: 0] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:09:17,984 PID:10127] [Rank: 1] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:09:18,034 PID:10127] [Rank: 1] processing feature: paper/feat/1 [41798a58345e INFO 2023-01-08 06:09:18,034 PID:10128] [Rank: 0] processing feature: paper/feat/1 [41798a58345e INFO 2023-01-08 06:09:18,083 PID:10128] [Rank: 0] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:09:18,083 PID:10127] [Rank: 1] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:09:18,132 PID:10128] [Rank: 0] processing feature: paper/label/1 [41798a58345e INFO 2023-01-08 06:09:18,132 PID:10127] [Rank: 1] processing feature: paper/label/1 [41798a58345e INFO 2023-01-08 06:09:18,180 PID:10127] [Rank: 1] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:18,180 PID:10128] [Rank: 0] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:18,230 PID:10127] [Rank: 1] processing feature: paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:09:18,230 PID:10128] [Rank: 0] processing feature: paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:09:18,279 PID:10127] [Rank: 1] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:18,279 PID:10128] [Rank: 0] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:18,330 PID:10127] [Rank: 1] processing feature: paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:09:18,330 PID:10128] [Rank: 0] processing feature: paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:09:18,379 PID:10127] [Rank: 1] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:18,379 PID:10128] [Rank: 0] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:18,429 PID:10128] [Rank: 0] processing feature: paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:09:18,429 PID:10127] [Rank: 1] processing feature: paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:09:18,477 PID:10128] [Rank: 0] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:18,477 PID:10127] [Rank: 1] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:18,526 PID:10127] [Rank: 1] processing feature: paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:09:18,526 PID:10128] [Rank: 0] processing feature: paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:09:18,577 PID:10127] [Rank: 1] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:09:18,577 PID:10128] [Rank: 0] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:09:18,625 PID:10127] [Rank: 1] processing feature: paper/year/1 [41798a58345e INFO 2023-01-08 06:09:18,625 PID:10128] [Rank: 0] processing feature: paper/year/1 [41798a58345e INFO 2023-01-08 06:09:18,673 PID:10127] [Rank: 1] Total time for feature exchange: 0:00:01.326953 [41798a58345e INFO 2023-01-08 06:09:18,673 PID:10128] [Rank: 0] Total time for feature exchange: 0:00:01.326944 [41798a58345e INFO 2023-01-08 06:09:18,673 PID:10128] [Rank: 0] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:09:18,673 PID:10127] [Rank: 1] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:09:18,673 PID:10128] [Rank: 0] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:18,673 PID:10127] [Rank: 1] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:18,764 PID:10128] [Rank: 0] processing feature: author:writes:paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:09:18,764 PID:10127] [Rank: 1] processing feature: author:writes:paper/orig_ids/1 [41798a58345e INFO 2023-01-08 06:09:18,831 PID:10128] [Rank: 0] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:18,831 PID:10127] [Rank: 1] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:18,916 PID:10127] [Rank: 1] processing feature: author:writes:paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:09:18,916 PID:10128] [Rank: 0] processing feature: author:writes:paper/test_mask/1 [41798a58345e INFO 2023-01-08 06:09:19,002 PID:10127] [Rank: 1] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:19,002 PID:10128] [Rank: 0] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:19,094 PID:10127] [Rank: 1] processing feature: author:writes:paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:09:19,094 PID:10128] [Rank: 0] processing feature: author:writes:paper/train_mask/1 [41798a58345e INFO 2023-01-08 06:09:19,186 PID:10127] [Rank: 1] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:19,186 PID:10128] [Rank: 0] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:19,273 PID:10128] [Rank: 0] processing feature: author:writes:paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:09:19,273 PID:10127] [Rank: 1] processing feature: author:writes:paper/val_mask/1 [41798a58345e INFO 2023-01-08 06:09:19,356 PID:10127] [Rank: 1] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:19,356 PID:10128] [Rank: 0] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:19,483 PID:10127] [Rank: 1] processing feature: author:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:09:19,483 PID:10128] [Rank: 0] processing feature: author:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:09:19,579 PID:10127] [Rank: 1] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:19,579 PID:10128] [Rank: 0] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:19,658 PID:10127] [Rank: 1] processing feature: institution:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:09:19,658 PID:10128] [Rank: 0] processing feature: institution:writes:paper/year/1 [41798a58345e INFO 2023-01-08 06:09:19,734 PID:10127] [Rank: 1] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:09:19,734 PID:10128] [Rank: 0] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:09:19,831 PID:10127] [Rank: 1] processing feature: paper:cites:paper/count/1 [41798a58345e INFO 2023-01-08 06:09:19,831 PID:10128] [Rank: 0] processing feature: paper:cites:paper/count/1 [41798a58345e INFO 2023-01-08 06:09:19,903 PID:10127] [Rank: 1] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:09:19,903 PID:10128] [Rank: 0] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:09:19,975 PID:10127] [Rank: 1] processing feature: paper:rev_writes:author/year/1 [41798a58345e INFO 2023-01-08 06:09:19,975 PID:10128] [Rank: 0] processing feature: paper:rev_writes:author/year/1 [41798a58345e INFO 2023-01-08 06:09:20,053 PID:10127] [Rank: 1] Total time for feature exchange: 0:00:01.379658 [41798a58345e INFO 2023-01-08 06:09:20,053 PID:10128] [Rank: 0] Total time for feature exchange: 0:00:01.379700 [41798a58345e INFO 2023-01-08 06:09:20,053 PID:10127] [Rank: 1] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:09:20,053 PID:10128] [Rank: 0] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:09:20,160 PID:10128] [Rank: 0] Time to send/rcv edge data: 0:00:00.053390 [41798a58345e INFO 2023-01-08 06:09:20,166 PID:10127] [Rank: 1] Time to send/rcv edge data: 0:00:00.059297 [41798a58345e INFO 2023-01-08 06:09:20,197 PID:10128] [Rank: 0] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:09:20,205 PID:10127] [Rank: 1] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:09:20,222 PID:10128] [Rank: 0] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:09:20,231 PID:10127] [Rank: 1] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:09:20,232 PID:10128] [Rank: 0] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:09:20,232 PID:10127] [Rank: 1] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:09:20,265 PID:10128] [Rank: 0] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:09:20,265 PID:10127] [Rank: 1] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:09:20,377 PID:10127] [Rank: 1] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:09:20,377 PID:10128] [Rank: 0] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:09:20,611 PID:10127] There are 16585 edges in partition 1 [41798a58345e INFO 2023-01-08 06:09:20,611 PID:10128] There are 14765 edges in partition 0 [41798a58345e INFO 2023-01-08 06:09:20,872 PID:10127] There are 15866 edges in partition 3 [41798a58345e INFO 2023-01-08 06:09:20,890 PID:10128] There are 15184 edges in partition 2 [41798a58345e INFO 2023-01-08 06:09:20,899 PID:10127] [Rank: 1] Time to create dgl objects: 0:00:00.521369 [41798a58345e INFO 2023-01-08 06:09:20,900 PID:10127] [Rank: 1] Total execution time of the program: 0:00:04.270279 [41798a58345e INFO 2023-01-08 06:09:20,900 PID:10128] [Rank: 0] Time to create dgl objects: 0:00:00.522094 [41798a58345e INFO 2023-01-08 06:09:20,900 PID:10128] [Rank: 0] Total execution time of the program: 0:00:04.270830 [41798a58345e INFO 2023-01-08 06:09:20,900 PID:10127] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [Rank: 3 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:09:20,900 PID:10128] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! [Rank: 2 Edge data is already sorted !!! PASSED [ 77%] tests/tools/test_dist_part.py::test_pipeline_feature_format[numpy] Done with creating chunked graph INFO:root:Changing directory to /tmp/tmp2r9bogno/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4483@7 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4483@7 /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmp2r9bogno/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp2r9bogno/parted_data --input-dir /tmp/tmp2r9bogno/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp2r9bogno/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmp2r9bogno/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp2r9bogno/parted_data --input-dir /tmp/tmp2r9bogno/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp2r9bogno/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp2r9bogno/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp2r9bogno/parted_data --input-dir /tmp/tmp2r9bogno/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp2r9bogno/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp2r9bogno/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp2r9bogno/parted_data --input-dir /tmp/tmp2r9bogno/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp2r9bogno/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmp2r9bogno/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmp2r9bogno/parted_data --input-dir /tmp/tmp2r9bogno/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmp2r9bogno/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs [41798a58345e INFO 2023-01-08 06:09:25,120 PID:10487] Added key: store_based_barrier_key:1 to store for rank: 0 [41798a58345e INFO 2023-01-08 06:09:25,136 PID:10486] Added key: store_based_barrier_key:1 to store for rank: 1 [41798a58345e INFO 2023-01-08 06:09:25,147 PID:10480] Added key: store_based_barrier_key:1 to store for rank: 2 [41798a58345e INFO 2023-01-08 06:09:25,147 PID:10489] Added key: store_based_barrier_key:1 to store for rank: 3 [41798a58345e INFO 2023-01-08 06:09:25,148 PID:10480] Rank 2: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:09:25,148 PID:10489] Rank 3: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:09:25,152 PID:10487] Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:09:25,152 PID:10487] [Rank: 0] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:09:25,152 PID:10487] [Rank: 0] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:09:25,153 PID:10480] [Rank: 2] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:09:25,153 PID:10480] [Rank: 2] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:09:25,153 PID:10489] [Rank: 3] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:09:25,153 PID:10489] [Rank: 3] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:09:25,155 PID:10487] [Rank: 0] Reading file: /tmp/tmp2r9bogno/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:09:25,156 PID:10489] [Rank: 3] Reading file: /tmp/tmp2r9bogno/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:09:25,156 PID:10480] [Rank: 2] Reading file: /tmp/tmp2r9bogno/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:09:25,157 PID:10486] Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:09:25,158 PID:10486] [Rank: 1] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:09:25,158 PID:10486] [Rank: 1] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:09:25,158 PID:10487] [Rank: 0] Reading file: /tmp/tmp2r9bogno/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:09:25,158 PID:10489] [Rank: 3] Reading file: /tmp/tmp2r9bogno/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:09:25,159 PID:10480] [Rank: 2] Reading file: /tmp/tmp2r9bogno/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:09:25,159 PID:10487] [Rank: 0] Reading file: /tmp/tmp2r9bogno/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:09:25,160 PID:10489] [Rank: 3] Reading file: /tmp/tmp2r9bogno/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:09:25,160 PID:10480] [Rank: 2] Reading file: /tmp/tmp2r9bogno/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:09:25,160 PID:10487] [Rank: 0] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:09:25,161 PID:10486] [Rank: 1] Reading file: /tmp/tmp2r9bogno/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:09:25,161 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,161 PID:10489] [Rank: 3] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:09:25,161 PID:10480] [Rank: 2] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:09:25,162 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,162 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,163 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:25,163 PID:10486] [Rank: 1] Reading file: /tmp/tmp2r9bogno/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:09:25,164 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:25,164 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:25,164 PID:10486] [Rank: 1] Reading file: /tmp/tmp2r9bogno/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:09:25,166 PID:10486] [Rank: 1] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:09:25,166 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,168 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:25,236 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,236 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,236 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,236 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,236 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:25,236 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:25,236 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:25,236 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:25,274 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,274 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,274 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,274 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:25,274 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,274 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:25,275 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:25,275 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/author/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:25,313 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,313 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,313 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,313 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:25,313 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,313 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:25,313 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:25,314 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:25,355 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,354 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,355 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,355 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,355 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:25,355 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:25,355 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:25,355 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:25,392 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,392 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,392 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,392 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,393 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:25,393 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:25,393 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:25,393 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/institution/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:25,432 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/feat-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,432 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/feat-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,432 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/feat-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,432 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/feat-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,433 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/feat-1.npy [41798a58345e INFO 2023-01-08 06:09:25,433 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/feat-0.npy [41798a58345e INFO 2023-01-08 06:09:25,433 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/feat-3.npy [41798a58345e INFO 2023-01-08 06:09:25,433 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/feat-2.npy [41798a58345e INFO 2023-01-08 06:09:25,469 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/label-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,469 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/label-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,469 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/label-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,469 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/label-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,470 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/label-0.npy [41798a58345e INFO 2023-01-08 06:09:25,470 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/label-1.npy [41798a58345e INFO 2023-01-08 06:09:25,470 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/label-3.npy [41798a58345e INFO 2023-01-08 06:09:25,470 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/label-2.npy [41798a58345e INFO 2023-01-08 06:09:25,508 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,508 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,508 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,508 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,509 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:09:25,509 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:09:25,509 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:09:25,509 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:09:25,547 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,547 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,547 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,547 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,547 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:25,547 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:25,547 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:25,547 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:25,584 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,584 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,584 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,584 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:25,584 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,584 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:25,584 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:25,584 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:25,621 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,621 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,621 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,621 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,621 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:25,621 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:25,622 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:25,622 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:25,660 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,660 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,660 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,660 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,660 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/year-1.npy [41798a58345e INFO 2023-01-08 06:09:25,660 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/year-0.npy [41798a58345e INFO 2023-01-08 06:09:25,660 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/year-3.npy [41798a58345e INFO 2023-01-08 06:09:25,660 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/node_data/paper/year-2.npy [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10487] [Rank: 0] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10487] [Rank: 0] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10487] [Rank: 0] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10487] [Rank: 0] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10487] [Rank: 0] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10487] [Rank: 0] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10487] [Rank: 0] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10487] [Rank: 0] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10487] [Rank: 0] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10487] [Rank: 0] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10487] [Rank: 0] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10487] [Rank: 0] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10487] [Rank: 0] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10480] [Rank: 2] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10480] [Rank: 2] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10480] [Rank: 2] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10480] [Rank: 2] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10480] [Rank: 2] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10480] [Rank: 2] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10480] [Rank: 2] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10480] [Rank: 2] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10480] [Rank: 2] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10480] [Rank: 2] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10480] [Rank: 2] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10480] [Rank: 2] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10489] [Rank: 3] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10489] [Rank: 3] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10489] [Rank: 3] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10489] [Rank: 3] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10489] [Rank: 3] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10489] [Rank: 3] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10489] [Rank: 3] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10489] [Rank: 3] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10489] [Rank: 3] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10489] [Rank: 3] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10489] [Rank: 3] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10489] [Rank: 3] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10480] [Rank: 2] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10489] [Rank: 3] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10486] [Rank: 1] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10486] [Rank: 1] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10486] [Rank: 1] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10486] [Rank: 1] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10486] [Rank: 1] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10486] [Rank: 1] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10486] [Rank: 1] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10486] [Rank: 1] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10486] [Rank: 1] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10486] [Rank: 1] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10486] [Rank: 1] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10486] [Rank: 1] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10486] [Rank: 1] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:25,700 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,701 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,701 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,701 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,701 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/orig_ids-0.npy [41798a58345e INFO 2023-01-08 06:09:25,701 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/orig_ids-1.npy [41798a58345e INFO 2023-01-08 06:09:25,701 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/orig_ids-2.npy [41798a58345e INFO 2023-01-08 06:09:25,701 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/orig_ids-3.npy [41798a58345e INFO 2023-01-08 06:09:25,739 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/test_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,739 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/test_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,739 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/test_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,739 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/test_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,739 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/test_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:25,739 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/test_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:25,739 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/test_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:25,739 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/test_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:25,776 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/train_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,776 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/train_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,776 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/train_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,776 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/train_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,776 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/train_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:25,776 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/train_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:25,776 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/train_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:25,776 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/train_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:25,815 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/val_mask-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,815 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/val_mask-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,815 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/val_mask-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,815 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/val_mask-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,815 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/val_mask-0.npy [41798a58345e INFO 2023-01-08 06:09:25,815 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/val_mask-1.npy [41798a58345e INFO 2023-01-08 06:09:25,816 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/val_mask-3.npy [41798a58345e INFO 2023-01-08 06:09:25,816 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/val_mask-2.npy [41798a58345e INFO 2023-01-08 06:09:25,853 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,853 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,853 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,853 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,854 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:09:25,854 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:09:25,854 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:09:25,854 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/author:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:09:25,893 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/institution:writes:paper/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,893 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/institution:writes:paper/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,893 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/institution:writes:paper/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,893 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/institution:writes:paper/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,893 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/institution:writes:paper/year-0.npy [41798a58345e INFO 2023-01-08 06:09:25,893 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/institution:writes:paper/year-2.npy [41798a58345e INFO 2023-01-08 06:09:25,893 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/institution:writes:paper/year-1.npy [41798a58345e INFO 2023-01-08 06:09:25,893 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/institution:writes:paper/year-3.npy [41798a58345e INFO 2023-01-08 06:09:25,932 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:cites:paper/count-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,932 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:cites:paper/count-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,933 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:cites:paper/count-0.npy [41798a58345e INFO 2023-01-08 06:09:25,933 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:cites:paper/count-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,933 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:cites:paper/count-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,933 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:cites:paper/count-1.npy [41798a58345e INFO 2023-01-08 06:09:25,933 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:cites:paper/count-3.npy [41798a58345e INFO 2023-01-08 06:09:25,933 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:cites:paper/count-2.npy [41798a58345e INFO 2023-01-08 06:09:25,972 PID:10487] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:rev_writes:author/year-0.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,972 PID:10480] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:rev_writes:author/year-2.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,972 PID:10489] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:rev_writes:author/year-3.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,972 PID:10486] Reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:rev_writes:author/year-1.npy using numpy format [41798a58345e INFO 2023-01-08 06:09:25,972 PID:10487] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:rev_writes:author/year-0.npy [41798a58345e INFO 2023-01-08 06:09:25,973 PID:10480] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:rev_writes:author/year-2.npy [41798a58345e INFO 2023-01-08 06:09:25,973 PID:10486] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:rev_writes:author/year-1.npy [41798a58345e INFO 2023-01-08 06:09:25,973 PID:10489] Done reading from /tmp/tmp2r9bogno/chunked-data/edge_data/paper:rev_writes:author/year-3.npy [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10486] [Rank: 1] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10486] [Rank: 1] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10486] [Rank: 1] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10486] [Rank: 1] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10486] [Rank: 1] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10486] [Rank: 1] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10486] [Rank: 1] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10486] [Rank: 1] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10487] [Rank: 0] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10487] [Rank: 0] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10487] [Rank: 0] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10487] [Rank: 0] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10487] [Rank: 0] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10487] [Rank: 0] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10487] [Rank: 0] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10487] [Rank: 0] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10489] [Rank: 3] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10489] [Rank: 3] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10489] [Rank: 3] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10489] [Rank: 3] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10489] [Rank: 3] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10489] [Rank: 3] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10489] [Rank: 3] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10489] [Rank: 3] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10480] [Rank: 2] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10480] [Rank: 2] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10480] [Rank: 2] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10480] [Rank: 2] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10480] [Rank: 2] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10480] [Rank: 2] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10480] [Rank: 2] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10480] [Rank: 2] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10487] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2r9bogno/chunked-data/edge_index/author:affiliated_with:institution0.txt [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10486] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2r9bogno/chunked-data/edge_index/author:affiliated_with:institution1.txt [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10480] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2r9bogno/chunked-data/edge_index/author:affiliated_with:institution2.txt [41798a58345e INFO 2023-01-08 06:09:26,012 PID:10489] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmp2r9bogno/chunked-data/edge_index/author:affiliated_with:institution3.txt [41798a58345e INFO 2023-01-08 06:09:26,013 PID:10489] Loading edges of etype[author:writes:paper] from /tmp/tmp2r9bogno/chunked-data/edge_index/author:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:09:26,014 PID:10487] Loading edges of etype[author:writes:paper] from /tmp/tmp2r9bogno/chunked-data/edge_index/author:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:09:26,014 PID:10486] Loading edges of etype[author:writes:paper] from /tmp/tmp2r9bogno/chunked-data/edge_index/author:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:09:26,014 PID:10480] Loading edges of etype[author:writes:paper] from /tmp/tmp2r9bogno/chunked-data/edge_index/author:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:09:26,015 PID:10489] Loading edges of etype[institution:writes:paper] from /tmp/tmp2r9bogno/chunked-data/edge_index/institution:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:09:26,015 PID:10487] Loading edges of etype[institution:writes:paper] from /tmp/tmp2r9bogno/chunked-data/edge_index/institution:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:09:26,015 PID:10486] Loading edges of etype[institution:writes:paper] from /tmp/tmp2r9bogno/chunked-data/edge_index/institution:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:09:26,016 PID:10480] Loading edges of etype[institution:writes:paper] from /tmp/tmp2r9bogno/chunked-data/edge_index/institution:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:09:26,016 PID:10489] Loading edges of etype[paper:cites:paper] from /tmp/tmp2r9bogno/chunked-data/edge_index/paper:cites:paper3.txt [41798a58345e INFO 2023-01-08 06:09:26,017 PID:10487] Loading edges of etype[paper:cites:paper] from /tmp/tmp2r9bogno/chunked-data/edge_index/paper:cites:paper0.txt [41798a58345e INFO 2023-01-08 06:09:26,017 PID:10486] Loading edges of etype[paper:cites:paper] from /tmp/tmp2r9bogno/chunked-data/edge_index/paper:cites:paper1.txt [41798a58345e INFO 2023-01-08 06:09:26,018 PID:10480] Loading edges of etype[paper:cites:paper] from /tmp/tmp2r9bogno/chunked-data/edge_index/paper:cites:paper2.txt [41798a58345e INFO 2023-01-08 06:09:26,018 PID:10489] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2r9bogno/chunked-data/edge_index/paper:rev_writes:author3.txt [41798a58345e INFO 2023-01-08 06:09:26,019 PID:10487] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2r9bogno/chunked-data/edge_index/paper:rev_writes:author0.txt [41798a58345e INFO 2023-01-08 06:09:26,019 PID:10486] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2r9bogno/chunked-data/edge_index/paper:rev_writes:author1.txt [41798a58345e INFO 2023-01-08 06:09:26,020 PID:10489] [Rank: 3] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:09:26,020 PID:10489] Rank: 3 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(9000, 12000)], 'author:writes:paper/test_mask/0': [(9000, 12000)], 'author:writes:paper/train_mask/0': [(9000, 12000)], 'author:writes:paper/val_mask/0': [(9000, 12000)], 'author:writes:paper/year/0': [(9000, 12000)], 'institution:writes:paper/year/0': [(9000, 12000)], 'paper:cites:paper/count/0': [(18000, 24000)], 'paper:rev_writes:author/year/0': [(9000, 12000)]} [41798a58345e INFO 2023-01-08 06:09:26,020 PID:10489] [Rank: 3] Done reading dataset /tmp/tmp2r9bogno/chunked-data [41798a58345e INFO 2023-01-08 06:09:26,020 PID:10480] Loading edges of etype[paper:rev_writes:author] from /tmp/tmp2r9bogno/chunked-data/edge_index/paper:rev_writes:author2.txt [41798a58345e INFO 2023-01-08 06:09:26,021 PID:10487] [Rank: 0] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:09:26,021 PID:10487] Rank: 0 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(0, 3000)], 'author:writes:paper/test_mask/0': [(0, 3000)], 'author:writes:paper/train_mask/0': [(0, 3000)], 'author:writes:paper/val_mask/0': [(0, 3000)], 'author:writes:paper/year/0': [(0, 3000)], 'institution:writes:paper/year/0': [(0, 3000)], 'paper:cites:paper/count/0': [(0, 6000)], 'paper:rev_writes:author/year/0': [(0, 3000)]} [41798a58345e INFO 2023-01-08 06:09:26,021 PID:10487] [Rank: 0] Done reading dataset /tmp/tmp2r9bogno/chunked-data [41798a58345e INFO 2023-01-08 06:09:26,022 PID:10486] [Rank: 1] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:09:26,022 PID:10486] Rank: 1 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(3000, 6000)], 'author:writes:paper/test_mask/0': [(3000, 6000)], 'author:writes:paper/train_mask/0': [(3000, 6000)], 'author:writes:paper/val_mask/0': [(3000, 6000)], 'author:writes:paper/year/0': [(3000, 6000)], 'institution:writes:paper/year/0': [(3000, 6000)], 'paper:cites:paper/count/0': [(6000, 12000)], 'paper:rev_writes:author/year/0': [(3000, 6000)]} [41798a58345e INFO 2023-01-08 06:09:26,022 PID:10486] [Rank: 1] Done reading dataset /tmp/tmp2r9bogno/chunked-data [41798a58345e INFO 2023-01-08 06:09:26,022 PID:10480] [Rank: 2] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:09:26,022 PID:10480] Rank: 2 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(6000, 9000)], 'author:writes:paper/test_mask/0': [(6000, 9000)], 'author:writes:paper/train_mask/0': [(6000, 9000)], 'author:writes:paper/val_mask/0': [(6000, 9000)], 'author:writes:paper/year/0': [(6000, 9000)], 'institution:writes:paper/year/0': [(6000, 9000)], 'paper:cites:paper/count/0': [(12000, 18000)], 'paper:rev_writes:author/year/0': [(6000, 9000)]} [41798a58345e INFO 2023-01-08 06:09:26,022 PID:10480] [Rank: 2] Done reading dataset /tmp/tmp2r9bogno/chunked-data [41798a58345e INFO 2023-01-08 06:09:26,248 PID:10487] [Rank: 0] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:09:26,249 PID:10487] [Rank: 0] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:09:26,249 PID:10487] [Rank: 0] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,249 PID:10480] [Rank: 2] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:09:26,249 PID:10480] [Rank: 2] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:09:26,249 PID:10489] [Rank: 3] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:09:26,249 PID:10486] [Rank: 1] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:09:26,249 PID:10489] [Rank: 3] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:09:26,249 PID:10486] [Rank: 1] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:09:26,250 PID:10486] [Rank: 1] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,250 PID:10480] [Rank: 2] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,261 PID:10489] [Rank: 3] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,452 PID:10489] [Rank: 3] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,452 PID:10486] [Rank: 1] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,452 PID:10487] [Rank: 0] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,452 PID:10480] [Rank: 2] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,624 PID:10487] [Rank: 0] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,624 PID:10486] [Rank: 1] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,624 PID:10480] [Rank: 2] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,624 PID:10489] [Rank: 3] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,791 PID:10480] [Rank: 2] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,791 PID:10487] [Rank: 0] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,791 PID:10489] [Rank: 3] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,791 PID:10486] [Rank: 1] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,951 PID:10487] [Rank: 0] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,951 PID:10486] [Rank: 1] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,951 PID:10480] [Rank: 2] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:26,951 PID:10489] [Rank: 3] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:27,107 PID:10489] [Rank: 3] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:27,107 PID:10486] [Rank: 1] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:27,107 PID:10480] [Rank: 2] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:27,113 PID:10487] [Rank: 0] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:27,272 PID:10480] [Rank: 2] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:09:27,272 PID:10487] [Rank: 0] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:09:27,272 PID:10489] [Rank: 3] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:09:27,272 PID:10486] [Rank: 1] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:09:27,434 PID:10487] [Rank: 0] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:09:27,434 PID:10489] [Rank: 3] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:09:27,434 PID:10486] [Rank: 1] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:09:27,434 PID:10480] [Rank: 2] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:09:27,592 PID:10480] [Rank: 2] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:27,592 PID:10486] [Rank: 1] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:27,592 PID:10489] [Rank: 3] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:27,592 PID:10487] [Rank: 0] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:27,754 PID:10486] [Rank: 1] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:27,754 PID:10480] [Rank: 2] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:27,754 PID:10489] [Rank: 3] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:27,754 PID:10487] [Rank: 0] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:27,913 PID:10487] [Rank: 0] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:27,913 PID:10480] [Rank: 2] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:27,913 PID:10489] [Rank: 3] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:27,913 PID:10486] [Rank: 1] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:28,073 PID:10489] [Rank: 3] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:28,073 PID:10487] [Rank: 0] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:28,073 PID:10486] [Rank: 1] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:28,073 PID:10480] [Rank: 2] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:28,228 PID:10487] [Rank: 0] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:09:28,228 PID:10489] [Rank: 3] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:09:28,228 PID:10480] [Rank: 2] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:09:28,228 PID:10486] [Rank: 1] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:09:28,385 PID:10480] [Rank: 2] Total time for feature exchange: 0:00:02.135295 [41798a58345e INFO 2023-01-08 06:09:28,385 PID:10486] [Rank: 1] Total time for feature exchange: 0:00:02.134894 [41798a58345e INFO 2023-01-08 06:09:28,385 PID:10487] [Rank: 0] Total time for feature exchange: 0:00:02.135865 [41798a58345e INFO 2023-01-08 06:09:28,385 PID:10489] [Rank: 3] Total time for feature exchange: 0:00:02.123352 [41798a58345e INFO 2023-01-08 06:09:28,385 PID:10489] [Rank: 3] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:09:28,385 PID:10489] [Rank: 3] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:28,385 PID:10480] [Rank: 2] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:09:28,386 PID:10480] [Rank: 2] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:28,386 PID:10486] [Rank: 1] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:09:28,386 PID:10486] [Rank: 1] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:28,386 PID:10487] [Rank: 0] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:09:28,386 PID:10487] [Rank: 0] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:28,720 PID:10486] [Rank: 1] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:28,720 PID:10480] [Rank: 2] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:28,720 PID:10489] [Rank: 3] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:28,720 PID:10487] [Rank: 0] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:29,108 PID:10480] [Rank: 2] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:29,108 PID:10489] [Rank: 3] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:29,108 PID:10487] [Rank: 0] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:29,108 PID:10486] [Rank: 1] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:29,473 PID:10489] [Rank: 3] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:29,473 PID:10487] [Rank: 0] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:29,473 PID:10480] [Rank: 2] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:29,473 PID:10486] [Rank: 1] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:29,883 PID:10487] [Rank: 0] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:29,883 PID:10480] [Rank: 2] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:29,883 PID:10489] [Rank: 3] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:29,884 PID:10486] [Rank: 1] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:30,303 PID:10486] [Rank: 1] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:30,303 PID:10480] [Rank: 2] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:30,303 PID:10489] [Rank: 3] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:30,303 PID:10487] [Rank: 0] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:30,717 PID:10489] [Rank: 3] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:09:30,717 PID:10480] [Rank: 2] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:09:30,717 PID:10486] [Rank: 1] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:09:30,717 PID:10487] [Rank: 0] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:09:31,081 PID:10487] [Rank: 0] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:09:31,081 PID:10480] [Rank: 2] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:09:31,081 PID:10486] [Rank: 1] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:09:31,081 PID:10489] [Rank: 3] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:09:31,448 PID:10489] [Rank: 3] Total time for feature exchange: 0:00:03.062476 [41798a58345e INFO 2023-01-08 06:09:31,448 PID:10489] [Rank: 3] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:09:31,448 PID:10486] [Rank: 1] Total time for feature exchange: 0:00:03.062058 [41798a58345e INFO 2023-01-08 06:09:31,448 PID:10486] [Rank: 1] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:09:31,448 PID:10480] [Rank: 2] Total time for feature exchange: 0:00:03.062216 [41798a58345e INFO 2023-01-08 06:09:31,448 PID:10480] [Rank: 2] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:09:31,448 PID:10487] [Rank: 0] Total time for feature exchange: 0:00:03.061948 [41798a58345e INFO 2023-01-08 06:09:31,448 PID:10487] [Rank: 0] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:09:31,734 PID:10489] [Rank: 3] Time to send/rcv edge data: 0:00:00.006317 [41798a58345e INFO 2023-01-08 06:09:31,734 PID:10487] [Rank: 0] Time to send/rcv edge data: 0:00:00.007004 [41798a58345e INFO 2023-01-08 06:09:31,734 PID:10486] [Rank: 1] Time to send/rcv edge data: 0:00:00.007045 [41798a58345e INFO 2023-01-08 06:09:31,734 PID:10480] [Rank: 2] Time to send/rcv edge data: 0:00:00.005526 [41798a58345e INFO 2023-01-08 06:09:31,817 PID:10487] [Rank: 0] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:09:31,819 PID:10486] [Rank: 1] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:09:31,837 PID:10489] [Rank: 3] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:09:31,849 PID:10480] [Rank: 2] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:09:31,866 PID:10486] [Rank: 1] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:09:31,866 PID:10487] [Rank: 0] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:09:31,876 PID:10489] [Rank: 3] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:09:31,880 PID:10480] [Rank: 2] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:09:31,881 PID:10489] [Rank: 3] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:09:31,881 PID:10480] [Rank: 2] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:09:31,882 PID:10487] [Rank: 0] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:09:31,882 PID:10486] [Rank: 1] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:09:31,937 PID:10489] [Rank: 3] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:09:31,937 PID:10486] [Rank: 1] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:09:31,937 PID:10480] [Rank: 2] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:09:31,937 PID:10487] [Rank: 0] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:09:32,072 PID:10489] [Rank: 3] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:09:32,072 PID:10486] [Rank: 1] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:09:32,072 PID:10480] [Rank: 2] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:09:32,072 PID:10487] [Rank: 0] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:09:32,245 PID:10489] There are 14661 edges in partition 3 [41798a58345e INFO 2023-01-08 06:09:32,314 PID:10480] There are 16924 edges in partition 2 [41798a58345e INFO 2023-01-08 06:09:32,401 PID:10486] There are 15015 edges in partition 1 [41798a58345e INFO 2023-01-08 06:09:32,413 PID:10487] There are 15800 edges in partition 0 [41798a58345e INFO 2023-01-08 06:09:32,432 PID:10486] [Rank: 1] Time to create dgl objects: 0:00:00.359989 [41798a58345e INFO 2023-01-08 06:09:32,433 PID:10486] [Rank: 1] Total execution time of the program: 0:00:07.274724 [41798a58345e INFO 2023-01-08 06:09:32,433 PID:10489] [Rank: 3] Time to create dgl objects: 0:00:00.360724 [41798a58345e INFO 2023-01-08 06:09:32,433 PID:10480] [Rank: 2] Time to create dgl objects: 0:00:00.360068 [Rank: 1 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:09:32,433 PID:10486] [Rank: 1] Done with Distributed data processing pipeline processing. [41798a58345e INFO 2023-01-08 06:09:32,433 PID:10489] [Rank: 3] Total execution time of the program: 0:00:07.279994 [41798a58345e INFO 2023-01-08 06:09:32,433 PID:10480] [Rank: 2] Total execution time of the program: 0:00:07.280184 [41798a58345e INFO 2023-01-08 06:09:32,433 PID:10487] [Rank: 0] Time to create dgl objects: 0:00:00.360967 [41798a58345e INFO 2023-01-08 06:09:32,434 PID:10487] [Rank: 0] Total execution time of the program: 0:00:07.281527 [41798a58345e INFO 2023-01-08 06:09:32,434 PID:10489] [Rank: 3] Done with Distributed data processing pipeline processing. [Rank: 3 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:09:32,434 PID:10487] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:09:32,434 PID:10480] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 2 Edge data is already sorted !!! PASSED [ 78%] tests/tools/test_dist_part.py::test_pipeline_feature_format[parquet] Done with creating chunked graph INFO:root:Changing directory to /tmp/tmpuhp6stau/parted_data INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4483@7 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4483@7 /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distgraphlaunch.py --ssh_port 22 --num_proc_per_machine 1 --ip_config /tmp/tmpuhp6stau/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpuhp6stau/parted_data --input-dir /tmp/tmpuhp6stau/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpuhp6stau/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids " (export DGL_IP_CONFIG=/tmp/tmpuhp6stau/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpuhp6stau/parted_data --input-dir /tmp/tmpuhp6stau/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpuhp6stau/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpuhp6stau/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpuhp6stau/parted_data --input-dir /tmp/tmpuhp6stau/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpuhp6stau/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpuhp6stau/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=2 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpuhp6stau/parted_data --input-dir /tmp/tmpuhp6stau/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpuhp6stau/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) (export DGL_IP_CONFIG=/tmp/tmpuhp6stau/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tools/distpartitioning:tests:/root/jenkins/workspace/dgl_PR-4483@7/python: RANK=3 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python3 /root/jenkins/workspace/dgl_PR-4483@7/tools/distpartitioning/data_proc_pipeline.py --world-size 4 --partitions-dir /tmp/tmpuhp6stau/parted_data --input-dir /tmp/tmpuhp6stau/chunked-data --graph-name mag240m --schema metadata.json --num-parts 4 --output /tmp/tmpuhp6stau/partitioned --process-group-timeout 60 --log-level info --save-orig-nids --save-orig-eids ) cleanupu process runs [41798a58345e INFO 2023-01-08 06:09:36,573 PID:11120] Added key: store_based_barrier_key:1 to store for rank: 0 [41798a58345e INFO 2023-01-08 06:09:36,593 PID:11125] Added key: store_based_barrier_key:1 to store for rank: 2 [41798a58345e INFO 2023-01-08 06:09:36,593 PID:11119] Added key: store_based_barrier_key:1 to store for rank: 1 [41798a58345e INFO 2023-01-08 06:09:36,593 PID:11125] Rank 2: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:09:36,593 PID:11126] Added key: store_based_barrier_key:1 to store for rank: 3 [41798a58345e INFO 2023-01-08 06:09:36,594 PID:11126] Rank 3: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:09:36,594 PID:11120] Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:09:36,594 PID:11120] [Rank: 0] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:09:36,594 PID:11120] [Rank: 0] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:09:36,594 PID:11125] [Rank: 2] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:09:36,594 PID:11125] [Rank: 2] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:09:36,594 PID:11126] [Rank: 3] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:09:36,594 PID:11126] [Rank: 3] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:09:36,595 PID:11125] [Rank: 2] Reading file: /tmp/tmpuhp6stau/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:09:36,596 PID:11126] [Rank: 3] Reading file: /tmp/tmpuhp6stau/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:09:36,596 PID:11120] [Rank: 0] Reading file: /tmp/tmpuhp6stau/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:09:36,597 PID:11125] [Rank: 2] Reading file: /tmp/tmpuhp6stau/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:09:36,598 PID:11126] [Rank: 3] Reading file: /tmp/tmpuhp6stau/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:09:36,598 PID:11125] [Rank: 2] Reading file: /tmp/tmpuhp6stau/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:09:36,599 PID:11126] [Rank: 3] Reading file: /tmp/tmpuhp6stau/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:09:36,599 PID:11125] [Rank: 2] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:09:36,599 PID:11120] [Rank: 0] Reading file: /tmp/tmpuhp6stau/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:09:36,599 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/test_mask-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,600 PID:11126] [Rank: 3] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:09:36,600 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/test_mask-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,601 PID:11120] [Rank: 0] Reading file: /tmp/tmpuhp6stau/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:09:36,602 PID:11120] [Rank: 0] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:09:36,603 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/test_mask-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,603 PID:11119] Rank 1: Completed store-based barrier for key:store_based_barrier_key:1 with 4 nodes. [41798a58345e INFO 2023-01-08 06:09:36,604 PID:11119] [Rank: 1] Done with process group initialization... [41798a58345e INFO 2023-01-08 06:09:36,604 PID:11119] [Rank: 1] Starting distributed data processing pipeline... [41798a58345e INFO 2023-01-08 06:09:36,606 PID:11119] [Rank: 1] Reading file: /tmp/tmpuhp6stau/parted_data/author.txt [41798a58345e INFO 2023-01-08 06:09:36,608 PID:11119] [Rank: 1] Reading file: /tmp/tmpuhp6stau/parted_data/institution.txt [41798a58345e INFO 2023-01-08 06:09:36,609 PID:11119] [Rank: 1] Reading file: /tmp/tmpuhp6stau/parted_data/paper.txt [41798a58345e INFO 2023-01-08 06:09:36,610 PID:11119] [Rank: 1] Initialized metis partitions and node_types map... [41798a58345e INFO 2023-01-08 06:09:36,611 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/test_mask-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,649 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/test_mask-2.parquet [41798a58345e INFO 2023-01-08 06:09:36,651 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/test_mask-3.parquet [41798a58345e INFO 2023-01-08 06:09:36,660 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/test_mask-0.parquet [41798a58345e INFO 2023-01-08 06:09:36,666 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/test_mask-1.parquet [41798a58345e INFO 2023-01-08 06:09:36,720 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/train_mask-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,720 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/train_mask-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,720 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/train_mask-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,720 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/train_mask-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,723 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/train_mask-2.parquet [41798a58345e INFO 2023-01-08 06:09:36,723 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/train_mask-0.parquet [41798a58345e INFO 2023-01-08 06:09:36,723 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/train_mask-3.parquet [41798a58345e INFO 2023-01-08 06:09:36,723 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/train_mask-1.parquet [41798a58345e INFO 2023-01-08 06:09:36,761 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/val_mask-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,761 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/val_mask-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,761 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/val_mask-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,761 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/val_mask-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,763 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/val_mask-3.parquet [41798a58345e INFO 2023-01-08 06:09:36,763 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/val_mask-1.parquet [41798a58345e INFO 2023-01-08 06:09:36,763 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/val_mask-0.parquet [41798a58345e INFO 2023-01-08 06:09:36,763 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/author/val_mask-2.parquet [41798a58345e INFO 2023-01-08 06:09:36,800 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/test_mask-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,800 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/test_mask-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,800 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/test_mask-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,800 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/test_mask-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,802 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/test_mask-0.parquet [41798a58345e INFO 2023-01-08 06:09:36,802 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/test_mask-2.parquet [41798a58345e INFO 2023-01-08 06:09:36,802 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/test_mask-3.parquet [41798a58345e INFO 2023-01-08 06:09:36,802 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/test_mask-1.parquet [41798a58345e INFO 2023-01-08 06:09:36,839 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/train_mask-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,839 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/train_mask-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,839 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/train_mask-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,839 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/train_mask-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,841 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/train_mask-3.parquet [41798a58345e INFO 2023-01-08 06:09:36,841 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/train_mask-2.parquet [41798a58345e INFO 2023-01-08 06:09:36,841 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/train_mask-1.parquet [41798a58345e INFO 2023-01-08 06:09:36,841 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/train_mask-0.parquet [41798a58345e INFO 2023-01-08 06:09:36,878 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/val_mask-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,878 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/val_mask-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,878 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/val_mask-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,878 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/val_mask-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,880 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/val_mask-0.parquet [41798a58345e INFO 2023-01-08 06:09:36,880 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/val_mask-3.parquet [41798a58345e INFO 2023-01-08 06:09:36,880 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/val_mask-2.parquet [41798a58345e INFO 2023-01-08 06:09:36,880 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/institution/val_mask-1.parquet [41798a58345e INFO 2023-01-08 06:09:36,917 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/feat-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,917 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/feat-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,917 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/feat-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,917 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/feat-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,920 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/feat-1.parquet [41798a58345e INFO 2023-01-08 06:09:36,920 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/feat-2.parquet [41798a58345e INFO 2023-01-08 06:09:36,920 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/feat-3.parquet [41798a58345e INFO 2023-01-08 06:09:36,920 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/feat-0.parquet [41798a58345e INFO 2023-01-08 06:09:36,957 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/label-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,957 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/label-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,957 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/label-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,957 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/label-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,959 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/label-1.parquet [41798a58345e INFO 2023-01-08 06:09:36,959 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/label-3.parquet [41798a58345e INFO 2023-01-08 06:09:36,959 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/label-0.parquet [41798a58345e INFO 2023-01-08 06:09:36,959 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/label-2.parquet [41798a58345e INFO 2023-01-08 06:09:36,996 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/orig_ids-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,996 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/orig_ids-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,996 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/orig_ids-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,996 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/orig_ids-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:36,998 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/orig_ids-0.parquet [41798a58345e INFO 2023-01-08 06:09:36,998 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/orig_ids-2.parquet [41798a58345e INFO 2023-01-08 06:09:36,998 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/orig_ids-1.parquet [41798a58345e INFO 2023-01-08 06:09:36,998 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/orig_ids-3.parquet [41798a58345e INFO 2023-01-08 06:09:37,035 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/test_mask-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,035 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/test_mask-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,035 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/test_mask-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,035 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/test_mask-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,037 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/test_mask-1.parquet [41798a58345e INFO 2023-01-08 06:09:37,037 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/test_mask-2.parquet [41798a58345e INFO 2023-01-08 06:09:37,037 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/test_mask-0.parquet [41798a58345e INFO 2023-01-08 06:09:37,037 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/test_mask-3.parquet [41798a58345e INFO 2023-01-08 06:09:37,074 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/train_mask-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,074 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/train_mask-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,074 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/train_mask-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,074 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/train_mask-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,076 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/train_mask-1.parquet [41798a58345e INFO 2023-01-08 06:09:37,076 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/train_mask-0.parquet [41798a58345e INFO 2023-01-08 06:09:37,076 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/train_mask-3.parquet [41798a58345e INFO 2023-01-08 06:09:37,077 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/train_mask-2.parquet [41798a58345e INFO 2023-01-08 06:09:37,113 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/val_mask-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,113 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/val_mask-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,113 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/val_mask-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,113 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/val_mask-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,115 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/val_mask-1.parquet [41798a58345e INFO 2023-01-08 06:09:37,115 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/val_mask-0.parquet [41798a58345e INFO 2023-01-08 06:09:37,115 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/val_mask-2.parquet [41798a58345e INFO 2023-01-08 06:09:37,116 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/val_mask-3.parquet [41798a58345e INFO 2023-01-08 06:09:37,152 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/year-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,152 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/year-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,153 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/year-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,153 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/year-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,155 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/year-1.parquet [41798a58345e INFO 2023-01-08 06:09:37,155 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/year-3.parquet [41798a58345e INFO 2023-01-08 06:09:37,155 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/year-2.parquet [41798a58345e INFO 2023-01-08 06:09:37,155 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/node_data/paper/year-0.parquet [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11120] [Rank: 0] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11120] [Rank: 0] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11120] [Rank: 0] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11120] [Rank: 0] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11120] [Rank: 0] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11120] [Rank: 0] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11120] [Rank: 0] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11120] [Rank: 0] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11120] [Rank: 0] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11120] [Rank: 0] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11120] [Rank: 0] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11119] [Rank: 1] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11119] [Rank: 1] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11119] [Rank: 1] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11119] [Rank: 1] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11119] [Rank: 1] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11119] [Rank: 1] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11119] [Rank: 1] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11120] [Rank: 0] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11120] [Rank: 0] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11119] [Rank: 1] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11119] [Rank: 1] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11119] [Rank: 1] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11119] [Rank: 1] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11119] [Rank: 1] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11119] [Rank: 1] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11125] [Rank: 2] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11125] [Rank: 2] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11125] [Rank: 2] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11125] [Rank: 2] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11125] [Rank: 2] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11125] [Rank: 2] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11125] [Rank: 2] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11125] [Rank: 2] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11125] [Rank: 2] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11126] [Rank: 3] node feature name: author/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11126] [Rank: 3] node feature name: author/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11126] [Rank: 3] node feature name: author/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11126] [Rank: 3] node feature name: institution/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11126] [Rank: 3] node feature name: institution/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11126] [Rank: 3] node feature name: institution/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,191 PID:11126] [Rank: 3] node feature name: paper/feat/0, feature data shape: torch.Size([300, 3]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11126] [Rank: 3] node feature name: paper/label/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11126] [Rank: 3] node feature name: paper/orig_ids/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11126] [Rank: 3] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11125] [Rank: 2] node feature name: paper/test_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11125] [Rank: 2] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11125] [Rank: 2] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11125] [Rank: 2] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11126] [Rank: 3] node feature name: paper/train_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11126] [Rank: 3] node feature name: paper/val_mask/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11126] [Rank: 3] node feature name: paper/year/0, feature data shape: torch.Size([300]) [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/orig_ids-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/orig_ids-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/orig_ids-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,192 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/orig_ids-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,194 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/orig_ids-1.parquet [41798a58345e INFO 2023-01-08 06:09:37,194 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/orig_ids-0.parquet [41798a58345e INFO 2023-01-08 06:09:37,194 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/orig_ids-3.parquet [41798a58345e INFO 2023-01-08 06:09:37,194 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/orig_ids-2.parquet [41798a58345e INFO 2023-01-08 06:09:37,231 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/test_mask-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,231 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/test_mask-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,231 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/test_mask-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,231 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/test_mask-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,233 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/test_mask-1.parquet [41798a58345e INFO 2023-01-08 06:09:37,233 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/test_mask-0.parquet [41798a58345e INFO 2023-01-08 06:09:37,233 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/test_mask-2.parquet [41798a58345e INFO 2023-01-08 06:09:37,233 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/test_mask-3.parquet [41798a58345e INFO 2023-01-08 06:09:37,270 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/train_mask-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,270 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/train_mask-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,270 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/train_mask-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,270 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/train_mask-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,272 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/train_mask-1.parquet [41798a58345e INFO 2023-01-08 06:09:37,273 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/train_mask-3.parquet [41798a58345e INFO 2023-01-08 06:09:37,273 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/train_mask-0.parquet [41798a58345e INFO 2023-01-08 06:09:37,273 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/train_mask-2.parquet [41798a58345e INFO 2023-01-08 06:09:37,309 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/val_mask-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,309 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/val_mask-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,309 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/val_mask-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,309 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/val_mask-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,312 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/val_mask-3.parquet [41798a58345e INFO 2023-01-08 06:09:37,312 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/val_mask-0.parquet [41798a58345e INFO 2023-01-08 06:09:37,312 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/val_mask-2.parquet [41798a58345e INFO 2023-01-08 06:09:37,312 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/val_mask-1.parquet [41798a58345e INFO 2023-01-08 06:09:37,348 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/year-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,348 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/year-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,348 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/year-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,348 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/year-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,351 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/year-1.parquet [41798a58345e INFO 2023-01-08 06:09:37,351 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/year-0.parquet [41798a58345e INFO 2023-01-08 06:09:37,351 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/year-2.parquet [41798a58345e INFO 2023-01-08 06:09:37,351 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/author:writes:paper/year-3.parquet [41798a58345e INFO 2023-01-08 06:09:37,388 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/institution:writes:paper/year-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,388 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/institution:writes:paper/year-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,388 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/institution:writes:paper/year-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,388 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/institution:writes:paper/year-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,390 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/institution:writes:paper/year-1.parquet [41798a58345e INFO 2023-01-08 06:09:37,390 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/institution:writes:paper/year-0.parquet [41798a58345e INFO 2023-01-08 06:09:37,390 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/institution:writes:paper/year-2.parquet [41798a58345e INFO 2023-01-08 06:09:37,390 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/institution:writes:paper/year-3.parquet [41798a58345e INFO 2023-01-08 06:09:37,427 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:cites:paper/count-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,427 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:cites:paper/count-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,427 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:cites:paper/count-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,427 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:cites:paper/count-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,430 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:cites:paper/count-1.parquet [41798a58345e INFO 2023-01-08 06:09:37,430 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:cites:paper/count-0.parquet [41798a58345e INFO 2023-01-08 06:09:37,430 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:cites:paper/count-2.parquet [41798a58345e INFO 2023-01-08 06:09:37,430 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:cites:paper/count-3.parquet [41798a58345e INFO 2023-01-08 06:09:37,467 PID:11125] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:rev_writes:author/year-2.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,467 PID:11120] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:rev_writes:author/year-0.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,467 PID:11119] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:rev_writes:author/year-1.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,467 PID:11126] Reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:rev_writes:author/year-3.parquet using parquet format [41798a58345e INFO 2023-01-08 06:09:37,469 PID:11119] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:rev_writes:author/year-1.parquet [41798a58345e INFO 2023-01-08 06:09:37,469 PID:11120] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:rev_writes:author/year-0.parquet [41798a58345e INFO 2023-01-08 06:09:37,469 PID:11125] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:rev_writes:author/year-2.parquet [41798a58345e INFO 2023-01-08 06:09:37,469 PID:11126] Done reading from /tmp/tmpuhp6stau/chunked-data/edge_data/paper:rev_writes:author/year-3.parquet [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11126] [Rank: 3] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11126] [Rank: 3] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11120] [Rank: 0] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11120] [Rank: 0] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11120] [Rank: 0] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11120] [Rank: 0] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11120] [Rank: 0] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11126] [Rank: 3] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11126] [Rank: 3] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11126] [Rank: 3] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11126] [Rank: 3] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11126] [Rank: 3] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11126] [Rank: 3] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11119] [Rank: 1] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11119] [Rank: 1] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11119] [Rank: 1] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11119] [Rank: 1] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11119] [Rank: 1] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11119] [Rank: 1] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11119] [Rank: 1] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11120] [Rank: 0] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11120] [Rank: 0] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11120] [Rank: 0] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11119] [Rank: 1] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11125] [Rank: 2] edge feature name: author:writes:paper/orig_ids/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11125] [Rank: 2] edge feature name: author:writes:paper/test_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11125] [Rank: 2] edge feature name: author:writes:paper/train_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11125] [Rank: 2] edge feature name: author:writes:paper/val_mask/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11125] [Rank: 2] edge feature name: author:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11125] [Rank: 2] edge feature name: institution:writes:paper/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11125] [Rank: 2] edge feature name: paper:cites:paper/count/0, feature data shape: torch.Size([6000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11125] [Rank: 2] edge feature name: paper:rev_writes:author/year/0, feature data shape: torch.Size([3000]) [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11120] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpuhp6stau/chunked-data/edge_index/author:affiliated_with:institution0.txt [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11119] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpuhp6stau/chunked-data/edge_index/author:affiliated_with:institution1.txt [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11126] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpuhp6stau/chunked-data/edge_index/author:affiliated_with:institution3.txt [41798a58345e INFO 2023-01-08 06:09:37,506 PID:11125] Loading edges of etype[author:affiliated_with:institution] from /tmp/tmpuhp6stau/chunked-data/edge_index/author:affiliated_with:institution2.txt [41798a58345e INFO 2023-01-08 06:09:37,507 PID:11125] Loading edges of etype[author:writes:paper] from /tmp/tmpuhp6stau/chunked-data/edge_index/author:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:09:37,507 PID:11119] Loading edges of etype[author:writes:paper] from /tmp/tmpuhp6stau/chunked-data/edge_index/author:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:09:37,507 PID:11126] Loading edges of etype[author:writes:paper] from /tmp/tmpuhp6stau/chunked-data/edge_index/author:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:09:37,507 PID:11120] Loading edges of etype[author:writes:paper] from /tmp/tmpuhp6stau/chunked-data/edge_index/author:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:09:37,508 PID:11125] Loading edges of etype[institution:writes:paper] from /tmp/tmpuhp6stau/chunked-data/edge_index/institution:writes:paper2.txt [41798a58345e INFO 2023-01-08 06:09:37,509 PID:11119] Loading edges of etype[institution:writes:paper] from /tmp/tmpuhp6stau/chunked-data/edge_index/institution:writes:paper1.txt [41798a58345e INFO 2023-01-08 06:09:37,509 PID:11126] Loading edges of etype[institution:writes:paper] from /tmp/tmpuhp6stau/chunked-data/edge_index/institution:writes:paper3.txt [41798a58345e INFO 2023-01-08 06:09:37,509 PID:11120] Loading edges of etype[institution:writes:paper] from /tmp/tmpuhp6stau/chunked-data/edge_index/institution:writes:paper0.txt [41798a58345e INFO 2023-01-08 06:09:37,510 PID:11125] Loading edges of etype[paper:cites:paper] from /tmp/tmpuhp6stau/chunked-data/edge_index/paper:cites:paper2.txt [41798a58345e INFO 2023-01-08 06:09:37,510 PID:11119] Loading edges of etype[paper:cites:paper] from /tmp/tmpuhp6stau/chunked-data/edge_index/paper:cites:paper1.txt [41798a58345e INFO 2023-01-08 06:09:37,510 PID:11126] Loading edges of etype[paper:cites:paper] from /tmp/tmpuhp6stau/chunked-data/edge_index/paper:cites:paper3.txt [41798a58345e INFO 2023-01-08 06:09:37,510 PID:11120] Loading edges of etype[paper:cites:paper] from /tmp/tmpuhp6stau/chunked-data/edge_index/paper:cites:paper0.txt [41798a58345e INFO 2023-01-08 06:09:37,511 PID:11125] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpuhp6stau/chunked-data/edge_index/paper:rev_writes:author2.txt [41798a58345e INFO 2023-01-08 06:09:37,511 PID:11119] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpuhp6stau/chunked-data/edge_index/paper:rev_writes:author1.txt [41798a58345e INFO 2023-01-08 06:09:37,512 PID:11126] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpuhp6stau/chunked-data/edge_index/paper:rev_writes:author3.txt [41798a58345e INFO 2023-01-08 06:09:37,512 PID:11120] Loading edges of etype[paper:rev_writes:author] from /tmp/tmpuhp6stau/chunked-data/edge_index/paper:rev_writes:author0.txt [41798a58345e INFO 2023-01-08 06:09:37,513 PID:11125] [Rank: 2] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:09:37,513 PID:11125] Rank: 2 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(6000, 9000)], 'author:writes:paper/test_mask/0': [(6000, 9000)], 'author:writes:paper/train_mask/0': [(6000, 9000)], 'author:writes:paper/val_mask/0': [(6000, 9000)], 'author:writes:paper/year/0': [(6000, 9000)], 'institution:writes:paper/year/0': [(6000, 9000)], 'paper:cites:paper/count/0': [(12000, 18000)], 'paper:rev_writes:author/year/0': [(6000, 9000)]} [41798a58345e INFO 2023-01-08 06:09:37,513 PID:11119] [Rank: 1] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:09:37,513 PID:11125] [Rank: 2] Done reading dataset /tmp/tmpuhp6stau/chunked-data [41798a58345e INFO 2023-01-08 06:09:37,513 PID:11119] Rank: 1 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(3000, 6000)], 'author:writes:paper/test_mask/0': [(3000, 6000)], 'author:writes:paper/train_mask/0': [(3000, 6000)], 'author:writes:paper/val_mask/0': [(3000, 6000)], 'author:writes:paper/year/0': [(3000, 6000)], 'institution:writes:paper/year/0': [(3000, 6000)], 'paper:cites:paper/count/0': [(6000, 12000)], 'paper:rev_writes:author/year/0': [(3000, 6000)]} [41798a58345e INFO 2023-01-08 06:09:37,513 PID:11119] [Rank: 1] Done reading dataset /tmp/tmpuhp6stau/chunked-data [41798a58345e INFO 2023-01-08 06:09:37,513 PID:11126] [Rank: 3] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:09:37,513 PID:11126] Rank: 3 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(9000, 12000)], 'author:writes:paper/test_mask/0': [(9000, 12000)], 'author:writes:paper/train_mask/0': [(9000, 12000)], 'author:writes:paper/val_mask/0': [(9000, 12000)], 'author:writes:paper/year/0': [(9000, 12000)], 'institution:writes:paper/year/0': [(9000, 12000)], 'paper:cites:paper/count/0': [(18000, 24000)], 'paper:rev_writes:author/year/0': [(9000, 12000)]} [41798a58345e INFO 2023-01-08 06:09:37,513 PID:11120] [Rank: 0] Done reading edge_file: 4, (15600,) [41798a58345e INFO 2023-01-08 06:09:37,513 PID:11120] Rank: 0 edge_feat_tids: {'author:writes:paper/orig_ids/0': [(0, 3000)], 'author:writes:paper/test_mask/0': [(0, 3000)], 'author:writes:paper/train_mask/0': [(0, 3000)], 'author:writes:paper/val_mask/0': [(0, 3000)], 'author:writes:paper/year/0': [(0, 3000)], 'institution:writes:paper/year/0': [(0, 3000)], 'paper:cites:paper/count/0': [(0, 6000)], 'paper:rev_writes:author/year/0': [(0, 3000)]} [41798a58345e INFO 2023-01-08 06:09:37,513 PID:11126] [Rank: 3] Done reading dataset /tmp/tmpuhp6stau/chunked-data [41798a58345e INFO 2023-01-08 06:09:37,513 PID:11120] [Rank: 0] Done reading dataset /tmp/tmpuhp6stau/chunked-data [41798a58345e INFO 2023-01-08 06:09:37,747 PID:11119] [Rank: 1] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:09:37,747 PID:11119] [Rank: 1] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:09:37,747 PID:11126] [Rank: 3] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:09:37,747 PID:11126] [Rank: 3] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:09:37,747 PID:11120] [Rank: 0] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:09:37,747 PID:11120] [Rank: 0] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:09:37,747 PID:11119] [Rank: 1] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:37,747 PID:11126] [Rank: 3] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:37,747 PID:11125] [Rank: 2] Done augmenting edge_data: 6, (15600,) [41798a58345e INFO 2023-01-08 06:09:37,747 PID:11125] [Rank: 2] Done augmenting file input data with auxilary columns [41798a58345e INFO 2023-01-08 06:09:37,747 PID:11120] [Rank: 0] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:37,748 PID:11125] [Rank: 2] processing feature: author/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:37,927 PID:11126] [Rank: 3] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:37,927 PID:11120] [Rank: 0] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:37,927 PID:11125] [Rank: 2] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:37,927 PID:11119] [Rank: 1] processing feature: author/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,089 PID:11120] [Rank: 0] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,089 PID:11119] [Rank: 1] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,089 PID:11125] [Rank: 2] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,089 PID:11126] [Rank: 3] processing feature: author/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,247 PID:11125] [Rank: 2] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,247 PID:11126] [Rank: 3] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,247 PID:11120] [Rank: 0] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,247 PID:11119] [Rank: 1] processing feature: institution/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,397 PID:11126] [Rank: 3] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,397 PID:11125] [Rank: 2] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,397 PID:11119] [Rank: 1] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,397 PID:11120] [Rank: 0] processing feature: institution/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,559 PID:11120] [Rank: 0] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,559 PID:11119] [Rank: 1] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,559 PID:11125] [Rank: 2] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,559 PID:11126] [Rank: 3] processing feature: institution/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:38,730 PID:11120] [Rank: 0] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:09:38,730 PID:11126] [Rank: 3] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:09:38,730 PID:11119] [Rank: 1] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:09:38,730 PID:11125] [Rank: 2] processing feature: paper/feat/0 [41798a58345e INFO 2023-01-08 06:09:38,892 PID:11120] [Rank: 0] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:09:38,892 PID:11125] [Rank: 2] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:09:38,892 PID:11119] [Rank: 1] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:09:38,892 PID:11126] [Rank: 3] processing feature: paper/label/0 [41798a58345e INFO 2023-01-08 06:09:39,054 PID:11125] [Rank: 2] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:39,054 PID:11126] [Rank: 3] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:39,054 PID:11119] [Rank: 1] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:39,054 PID:11120] [Rank: 0] processing feature: paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:39,214 PID:11125] [Rank: 2] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:39,214 PID:11119] [Rank: 1] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:39,214 PID:11126] [Rank: 3] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:39,214 PID:11120] [Rank: 0] processing feature: paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:39,357 PID:11120] [Rank: 0] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:39,357 PID:11119] [Rank: 1] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:39,357 PID:11126] [Rank: 3] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:39,357 PID:11125] [Rank: 2] processing feature: paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:39,530 PID:11126] [Rank: 3] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:39,530 PID:11120] [Rank: 0] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:39,530 PID:11119] [Rank: 1] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:39,530 PID:11125] [Rank: 2] processing feature: paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:39,690 PID:11119] [Rank: 1] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:09:39,690 PID:11120] [Rank: 0] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:09:39,690 PID:11126] [Rank: 3] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:09:39,690 PID:11125] [Rank: 2] processing feature: paper/year/0 [41798a58345e INFO 2023-01-08 06:09:39,839 PID:11119] [Rank: 1] Total time for feature exchange: 0:00:02.092148 [41798a58345e INFO 2023-01-08 06:09:39,839 PID:11120] [Rank: 0] Total time for feature exchange: 0:00:02.091870 [41798a58345e INFO 2023-01-08 06:09:39,839 PID:11126] [Rank: 3] Total time for feature exchange: 0:00:02.092157 [41798a58345e INFO 2023-01-08 06:09:39,840 PID:11120] [Rank: 0] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:09:39,840 PID:11120] [Rank: 0] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:39,839 PID:11125] [Rank: 2] Total time for feature exchange: 0:00:02.091092 [41798a58345e INFO 2023-01-08 06:09:39,840 PID:11125] [Rank: 2] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:09:39,840 PID:11125] [Rank: 2] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:39,840 PID:11119] [Rank: 1] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:09:39,840 PID:11126] [Rank: 3] Done with node features exchange. [41798a58345e INFO 2023-01-08 06:09:39,840 PID:11126] [Rank: 3] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:39,840 PID:11119] [Rank: 1] processing feature: author:writes:paper/orig_ids/0 [41798a58345e INFO 2023-01-08 06:09:40,214 PID:11125] [Rank: 2] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:40,214 PID:11119] [Rank: 1] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:40,214 PID:11120] [Rank: 0] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:40,214 PID:11126] [Rank: 3] processing feature: author:writes:paper/test_mask/0 [41798a58345e INFO 2023-01-08 06:09:40,598 PID:11119] [Rank: 1] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:40,598 PID:11125] [Rank: 2] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:40,598 PID:11126] [Rank: 3] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:40,598 PID:11120] [Rank: 0] processing feature: author:writes:paper/train_mask/0 [41798a58345e INFO 2023-01-08 06:09:40,982 PID:11120] [Rank: 0] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:40,982 PID:11125] [Rank: 2] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:40,982 PID:11126] [Rank: 3] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:40,982 PID:11119] [Rank: 1] processing feature: author:writes:paper/val_mask/0 [41798a58345e INFO 2023-01-08 06:09:41,361 PID:11126] [Rank: 3] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:41,361 PID:11119] [Rank: 1] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:41,361 PID:11125] [Rank: 2] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:41,361 PID:11120] [Rank: 0] processing feature: author:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:41,719 PID:11120] [Rank: 0] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:41,719 PID:11119] [Rank: 1] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:41,719 PID:11126] [Rank: 3] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:41,719 PID:11125] [Rank: 2] processing feature: institution:writes:paper/year/0 [41798a58345e INFO 2023-01-08 06:09:42,122 PID:11120] [Rank: 0] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:09:42,122 PID:11119] [Rank: 1] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:09:42,122 PID:11126] [Rank: 3] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:09:42,122 PID:11125] [Rank: 2] processing feature: paper:cites:paper/count/0 [41798a58345e INFO 2023-01-08 06:09:42,530 PID:11126] [Rank: 3] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:09:42,530 PID:11125] [Rank: 2] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:09:42,530 PID:11119] [Rank: 1] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:09:42,530 PID:11120] [Rank: 0] processing feature: paper:rev_writes:author/year/0 [41798a58345e INFO 2023-01-08 06:09:42,895 PID:11119] [Rank: 1] Total time for feature exchange: 0:00:03.054593 [41798a58345e INFO 2023-01-08 06:09:42,895 PID:11119] [Rank: 1] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:09:42,895 PID:11120] [Rank: 0] Total time for feature exchange: 0:00:03.054893 [41798a58345e INFO 2023-01-08 06:09:42,895 PID:11120] [Rank: 0] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:09:42,895 PID:11126] [Rank: 3] Total time for feature exchange: 0:00:03.054983 [41798a58345e INFO 2023-01-08 06:09:42,895 PID:11126] [Rank: 3] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:09:42,895 PID:11125] [Rank: 2] Total time for feature exchange: 0:00:03.054955 [41798a58345e INFO 2023-01-08 06:09:42,901 PID:11125] [Rank: 2] Done with edge features exchange. [41798a58345e INFO 2023-01-08 06:09:43,177 PID:11120] [Rank: 0] Time to send/rcv edge data: 0:00:00.007189 [41798a58345e INFO 2023-01-08 06:09:43,177 PID:11119] [Rank: 1] Time to send/rcv edge data: 0:00:00.007029 [41798a58345e INFO 2023-01-08 06:09:43,177 PID:11126] [Rank: 3] Time to send/rcv edge data: 0:00:00.006974 [41798a58345e INFO 2023-01-08 06:09:43,177 PID:11125] [Rank: 2] Time to send/rcv edge data: 0:00:00.005743 [41798a58345e INFO 2023-01-08 06:09:43,209 PID:11120] [Rank: 0] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:09:43,227 PID:11120] [Rank: 0] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:09:43,261 PID:11126] [Rank: 3] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:09:43,282 PID:11119] [Rank: 1] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:09:43,304 PID:11126] [Rank: 3] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:09:43,317 PID:11125] [Rank: 2] Done with data shuffling... [41798a58345e INFO 2023-01-08 06:09:43,327 PID:11119] [Rank: 1] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:09:43,345 PID:11125] [Rank: 2] Sorted node_data by node_type [41798a58345e INFO 2023-01-08 06:09:43,347 PID:11125] [Rank: 2] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:09:43,347 PID:11126] [Rank: 3] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:09:43,347 PID:11119] [Rank: 1] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:09:43,347 PID:11120] [Rank: 0] Done assigning global-ids to nodes... [41798a58345e INFO 2023-01-08 06:09:43,405 PID:11120] [Rank: 0] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:09:43,405 PID:11119] [Rank: 1] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:09:43,405 PID:11126] [Rank: 3] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:09:43,405 PID:11125] [Rank: 2] Done assigning global_ids to edges ... [41798a58345e INFO 2023-01-08 06:09:43,609 PID:11125] [Rank: 2] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:09:43,609 PID:11119] [Rank: 1] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:09:43,609 PID:11120] [Rank: 0] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:09:43,609 PID:11126] [Rank: 3] Done resolving orig_node_id for local node_ids... [41798a58345e INFO 2023-01-08 06:09:43,890 PID:11125] There are 15813 edges in partition 2 [41798a58345e INFO 2023-01-08 06:09:43,964 PID:11126] There are 15731 edges in partition 3 [41798a58345e INFO 2023-01-08 06:09:44,029 PID:11120] There are 15245 edges in partition 0 [41798a58345e INFO 2023-01-08 06:09:44,055 PID:11119] There are 15611 edges in partition 1 [41798a58345e INFO 2023-01-08 06:09:44,067 PID:11119] [Rank: 1] Time to create dgl objects: 0:00:00.457402 [41798a58345e INFO 2023-01-08 06:09:44,067 PID:11126] [Rank: 3] Time to create dgl objects: 0:00:00.456959 [41798a58345e INFO 2023-01-08 06:09:44,067 PID:11119] [Rank: 1] Total execution time of the program: 0:00:07.463358 [41798a58345e INFO 2023-01-08 06:09:44,067 PID:11125] [Rank: 2] Time to create dgl objects: 0:00:00.457873 [41798a58345e INFO 2023-01-08 06:09:44,068 PID:11119] [Rank: 1] Done with Distributed data processing pipeline processing. [Rank: 1 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:09:44,068 PID:11126] [Rank: 3] Total execution time of the program: 0:00:07.473646 [41798a58345e INFO 2023-01-08 06:09:44,068 PID:11125] [Rank: 2] Total execution time of the program: 0:00:07.473772 [41798a58345e INFO 2023-01-08 06:09:44,068 PID:11126] [Rank: 3] Done with Distributed data processing pipeline processing. [41798a58345e INFO 2023-01-08 06:09:44,068 PID:11125] [Rank: 2] Done with Distributed data processing pipeline processing. [Rank: 3 Edge data is already sorted !!! [Rank: 2 Edge data is already sorted !!! [41798a58345e INFO 2023-01-08 06:09:44,070 PID:11120] [Rank: 0] Time to create dgl objects: 0:00:00.459977 [41798a58345e INFO 2023-01-08 06:09:44,070 PID:11120] [Rank: 0] Total execution time of the program: 0:00:07.476503 [41798a58345e INFO 2023-01-08 06:09:44,071 PID:11120] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 Edge data is already sorted !!! PASSED [ 80%] tests/tools/test_dist_part.py::test_utils_generate_read_list PASSED [ 82%] tests/tools/test_launch.py::TestWrapUdfInTorchDistLauncher::test_chained_udf PASSED [ 84%] tests/tools/test_launch.py::TestWrapUdfInTorchDistLauncher::test_py_versions PASSED [ 85%] tests/tools/test_launch.py::TestWrapUdfInTorchDistLauncher::test_simple PASSED [ 87%] tests/tools/test_launch.py::TestWrapCmdWithLocalEnvvars::test_simple PASSED [ 89%] tests/tools/test_launch.py::TestConstructDglServerEnvVars::test_simple PASSED [ 91%] tests/tools/test_launch.py::TestConstructDglClientEnvVars::test_simple PASSED [ 92%] tests/tools/test_launch.py::test_submit_jobs Currently it's in dry run mode which means no jobs will be launched. PASSED [ 94%] tests/tools/test_parmetis.py::test_parmetis_preprocessing SKIPPED (m...) [ 96%] tests/tools/test_parmetis.py::test_parmetis_postprocessing Done with creating chunked graph /tmp/tmps8fx0ga9/chunked-data/metadata.json /tmp/tmps8fx0ga9/chunked-data/partitions_dir /tmp/tmps8fx0ga9/chunked-data/parmetis_output.txt [41798a58345e INFO 2023-01-08 06:09:45,795 PID:11699] Starting to process parmetis output. [41798a58345e INFO 2023-01-08 06:09:45,795 PID:11699] /tmp/tmps8fx0ga9/chunked-data/metadata.json [41798a58345e INFO 2023-01-08 06:09:45,795 PID:11699] /tmp/tmps8fx0ga9/chunked-data/parmetis_output.txt [41798a58345e INFO 2023-01-08 06:09:45,955 PID:11699] Generated /tmp/tmps8fx0ga9/chunked-data/partitions_dir/author.txt [41798a58345e INFO 2023-01-08 06:09:45,955 PID:11699] Generated /tmp/tmps8fx0ga9/chunked-data/partitions_dir/institution.txt [41798a58345e INFO 2023-01-08 06:09:45,955 PID:11699] Generated /tmp/tmps8fx0ga9/chunked-data/partitions_dir/paper.txt [41798a58345e INFO 2023-01-08 06:09:45,956 PID:11699] Done processing parmetis output /tmp/tmps8fx0ga9/chunked-data/partitions_dir/author.txt /tmp/tmps8fx0ga9/chunked-data/partitions_dir/paper.txt /tmp/tmps8fx0ga9/chunked-data/partitions_dir/institution.txt PASSED [ 98%] tests/tools/test_parmetis.py::test_parmetis_wrapper SKIPPED (mpi is ...) [100%] =============================== warnings summary =============================== ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:346 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): tests/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[3-100-2] tests/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[10-500-4] tests/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[10-1000-8] /root/jenkins/workspace/dgl_PR-4483@7/python/dgl/backend/pytorch/tensor.py:156: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). return in1 // in2 -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4483@7/pytest_tools.xml -- ============================ slowest 100 durations ============================= 26.80s call tests/tools/test_dist_part.py::test_pipeline_arbitray_chunks[8-8-4-3-5] 16.72s call tests/tools/test_dist_part.py::test_pipeline_basics[9-6-3] 12.99s call tests/tools/test_dist_part.py::test_pipeline_basics[4-4-4] 12.73s call tests/tools/test_dist_part.py::test_pipeline_formats[coo,csc] 12.65s call tests/tools/test_dist_part.py::test_pipeline_formats[csc] 12.22s call tests/tools/test_dist_part.py::test_pipeline_basics[8-4-4] 12.10s call tests/tools/test_dist_part.py::test_pipeline_formats[None] 11.66s call tests/tools/test_dist_part.py::test_pipeline_feature_format[parquet] 11.62s call tests/tools/test_dist_part.py::test_pipeline_formats[coo,csc,csr] 11.60s call tests/tools/test_dist_part.py::test_pipeline_feature_format[numpy] 11.17s call tests/tools/test_dist_part.py::test_pipeline_basics[11-11-1] 8.85s call tests/tools/test_dist_part.py::test_pipeline_arbitray_chunks[8-4-2-20-25] 8.33s call tests/tools/test_dist_part.py::test_pipeline_arbitray_chunks[8-4-2-num_chunks_node_data3-num_chunks_edge_data3] 7.84s call tests/tools/test_dist_part.py::test_pipeline_basics[8-4-2] 7.16s call tests/tools/test_dist_part.py::test_pipeline_basics[11-4-1] 1.48s call tests/tools/test_parmetis.py::test_parmetis_postprocessing 1.27s call tests/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[10-1000-8] 0.76s call tests/tools/test_dist_part.py::test_chunk_graph_basics[csv-parquet-8] 0.47s call tests/tools/test_dist_part.py::test_chunk_graph_basics[parquet-parquet-8] 0.47s call tests/tools/test_dist_part.py::test_chunk_graph_vector_rows[False-8] 0.47s call tests/tools/test_dist_part.py::test_chunk_graph_vector_rows[True-8] 0.38s call tests/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[10-500-4] 0.26s call tests/tools/test_dist_part.py::test_chunk_graph_basics[csv-numpy-8] 0.25s call tests/tools/test_dist_part.py::test_chunk_graph_basics[csv-parquet-1] 0.20s call tests/tools/test_dist_part.py::test_chunk_graph_basics[parquet-numpy-8] 0.20s call tests/tools/test_dist_part.py::test_chunk_graph_arbitray_chunks[4-4-4-num_chunks_node_data3-num_chunks_edge_data3] 0.20s call tests/tools/test_dist_part.py::test_chunk_graph_arbitray_chunks[4-4-4-8-12] 0.19s call tests/tools/test_dist_part.py::test_chunk_graph_arbitray_chunks[8-None-None-None-None] 0.19s call tests/tools/test_dist_part.py::test_chunk_graph_basics[csv-numpy-1] 0.18s call tests/tools/test_dist_part.py::test_chunk_graph_vector_rows[True-1] 0.18s call tests/tools/test_dist_part.py::test_chunk_graph_vector_rows[False-1] 0.17s call tests/tools/test_dist_part.py::test_chunk_graph_basics[parquet-parquet-1] 0.17s call tests/tools/test_dist_part.py::test_chunk_graph_arbitray_chunks[4-4-4-num_chunks_node_data4-num_chunks_edge_data4] 0.13s call tests/tools/test_dist_part.py::test_chunk_graph_basics[parquet-numpy-1] 0.13s call tests/tools/test_dist_part.py::test_chunk_graph_arbitray_chunks[1-None-None-None-None] 0.09s call tests/tools/test_array_readwriter.py::test_array_readwriter[parquet-shape3] 0.06s call tests/tools/test_array_readwriter.py::test_array_readwriter[parquet-shape0] 0.03s call tests/tools/test_change_etype_to_canonical_etype.py::test_hetero_graph[3-100-2] 0.01s call tests/tools/test_change_etype_to_canonical_etype.py::test_homo_graph[500-4] 0.01s call tests/tools/test_array_readwriter.py::test_array_readwriter[parquet-shape2] 0.01s call tests/tools/test_change_etype_to_canonical_etype.py::test_homo_graph[100-2] 0.01s call tests/tools/test_array_readwriter.py::test_array_readwriter[parquet-shape1] (58 durations < 0.005s hidden. Use -vv to show these durations.) ============ 55 passed, 2 skipped, 12 warnings in 194.00s (0:03:14) ============ [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 41798a58345e11071e3c8d29702f71797d66086e96f404a0eb8045c73f37a870 $ docker rm -f 41798a58345e11071e3c8d29702f71797d66086e96f404a0eb8045c73f37a870 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 86%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-1-shape0-rand_coo] PASSED [ 86%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-1-shape0-rand_csr] PASSED [ 86%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-1-shape0-rand_csc] PASSED [ 86%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-1-shape1-rand_coo] PASSED [ 86%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-1-shape1-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-1-shape1-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-10-shape0-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-10-shape0-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-10-shape0-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-10-shape1-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-10-shape1-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[None-10-shape1-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-1-shape0-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-1-shape0-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-1-shape0-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-1-shape1-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-1-shape1-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-1-shape1-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-10-shape0-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-10-shape0-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-10-shape0-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-10-shape1-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-10-shape1-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spmm[10-10-shape1-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[1-shape0-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[1-shape0-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[1-shape0-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[1-shape1-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[1-shape1-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[1-shape1-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[10-shape0-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[10-shape0-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[10-shape0-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[10-shape1-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[10-shape1-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_bspmm[10-shape1-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_coo-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_coo-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_coo-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_csr-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_csr-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_csr-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_csc-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_csc-rand_csr] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m0-rand_csc-rand_csc] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_coo-rand_coo] PASSED [ 87%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_coo-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_coo-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_csr-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_csr-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_csr-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_csc-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_csc-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-3-shape_n_m1-rand_csc-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_coo-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_coo-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_coo-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_csr-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_csr-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_csr-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_csc-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_csc-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m0-rand_csc-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_coo-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_coo-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_coo-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_csr-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_csr-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_csr-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_csc-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_csc-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-1-4-shape_n_m1-rand_csc-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_coo-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_coo-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_coo-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_csr-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_csr-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_csr-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_csc-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_csc-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m0-rand_csc-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_coo-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_coo-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_coo-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_csr-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_csr-rand_csr] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_csr-rand_csc] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_csc-rand_coo] PASSED [ 88%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_csc-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-3-shape_n_m1-rand_csc-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_coo-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_coo-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_coo-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_csr-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_csr-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_csr-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_csc-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_csc-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m0-rand_csc-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_coo-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_coo-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_coo-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_csr-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_csr-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_csr-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_csc-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_csc-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[1-10-4-shape_n_m1-rand_csc-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_coo-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_coo-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_coo-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_csr-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_csr-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_csr-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_csc-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_csc-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m0-rand_csc-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_coo-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_coo-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_coo-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_csr-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_csr-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_csr-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_csc-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_csc-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-3-shape_n_m1-rand_csc-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_coo-rand_coo] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_coo-rand_csr] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_coo-rand_csc] PASSED [ 89%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_csr-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_csr-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_csr-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_csc-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_csc-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m0-rand_csc-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_coo-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_coo-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_coo-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_csr-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_csr-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_csr-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_csc-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_csc-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-1-4-shape_n_m1-rand_csc-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_coo-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_coo-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_coo-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_csr-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_csr-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_csr-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_csc-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_csc-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m0-rand_csc-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_coo-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_coo-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_coo-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_csr-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_csr-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_csr-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_csc-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_csc-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-3-shape_n_m1-rand_csc-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_coo-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_coo-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_coo-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_csr-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_csr-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_csr-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_csc-rand_coo] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_csc-rand_csr] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m0-rand_csc-rand_csc] PASSED [ 90%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_coo-rand_coo] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_coo-rand_csr] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_coo-rand_csc] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_csr-rand_coo] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_csr-rand_csr] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_csr-rand_csc] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_csc-rand_coo] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_csc-rand_csr] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm[10-10-4-shape_n_m1-rand_csc-rand_csc] PASSED [ 91%] tests/pytorch/sparse/test_matmul.py::test_spspmm_duplicate PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_docstring[reduce] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_docstring[sum] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_docstring[smin] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_docstring[smax] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_docstring[sprod] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_docstring[smean] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-sum-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-sum-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-amin-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-amin-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-amax-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-amax-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-mean-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-mean-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-prod-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[False-prod-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-sum-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-sum-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-amin-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-amin-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-amax-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-amax-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-mean-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-mean-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-prod-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_all[True-prod-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-False-0-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-False-0-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-False-1-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-False-1-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-True-0-shape0] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-True-0-shape1] PASSED [ 91%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-True-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-sum-True-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-False-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-False-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-False-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-False-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-True-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-True-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-True-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amin-True-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-False-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-False-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-False-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-False-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-True-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-True-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-True-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-amax-True-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-False-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-False-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-False-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-False-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-True-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-True-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-True-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-mean-True-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-False-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-False-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-False-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-False-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-True-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-True-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-True-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[False-prod-True-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-False-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-False-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-False-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-False-1-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-True-0-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-True-0-shape1] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-True-1-shape0] PASSED [ 92%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-sum-True-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-False-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-False-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-False-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-False-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-True-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-True-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-True-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amin-True-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-False-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-False-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-False-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-False-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-True-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-True-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-True-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-amax-True-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-False-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-False-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-False-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-False-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-True-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-True-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-True-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-mean-True-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-False-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-False-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-False-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-False-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-True-0-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-True-0-shape1] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-True-1-shape0] PASSED [ 93%] tests/pytorch/sparse/test_reduction.py::test_reduce_along[True-prod-True-1-shape1] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-2-shape0-rand_coo] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-2-shape0-rand_csr] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-2-shape0-rand_csc] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-2-shape1-rand_coo] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-2-shape1-rand_csr] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-2-shape1-rand_csc] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-10-shape0-rand_coo] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-10-shape0-rand_csr] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-10-shape0-rand_csc] PASSED [ 93%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-10-shape1-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-10-shape1-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[1-10-shape1-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-2-shape0-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-2-shape0-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-2-shape0-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-2-shape1-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-2-shape1-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-2-shape1-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-10-shape0-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-10-shape0-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-10-shape0-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-10-shape1-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-10-shape1-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_sddmm[5-10-shape1-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-2-shape0-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-2-shape0-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-2-shape0-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-2-shape1-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-2-shape1-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-2-shape1-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-10-shape0-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-10-shape0-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-10-shape0-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-10-shape1-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-10-shape1-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[2-10-shape1-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-2-shape0-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-2-shape0-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-2-shape0-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-2-shape1-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-2-shape1-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-2-shape1-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-10-shape0-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-10-shape0-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-10-shape0-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-10-shape1-rand_coo] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-10-shape1-rand_csr] PASSED [ 94%] tests/pytorch/sparse/test_sddmm.py::test_bsddmm[10-10-shape1-rand_csc] PASSED [ 94%] tests/pytorch/sparse/test_softmax.py::test_softmax[True-None] PASSED [ 94%] tests/pytorch/sparse/test_softmax.py::test_softmax[True-2] PASSED [ 94%] tests/pytorch/sparse/test_softmax.py::test_softmax[False-None] PASSED [ 94%] tests/pytorch/sparse/test_softmax.py::test_softmax[False-2] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col0-row0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col0-row0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col0-row1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col0-row1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col1-row0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col1-row0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col1-row1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[None-col1-row1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col0-row0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col0-row0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col0-row1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col0-row1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col1-row0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col1-row0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col1-row1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape1-col1-row1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col0-row0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col0-row0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col0-row1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col0-row1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col1-row0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col1-row0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col1-row1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_coo[shape2-col1-row1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices0-indptr0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices0-indptr0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices0-indptr1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices0-indptr1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices1-indptr0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices1-indptr0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices1-indptr1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[None-indices1-indptr1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices0-indptr0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices0-indptr0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices0-indptr1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices0-indptr1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices1-indptr0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices1-indptr0-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices1-indptr1-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csr[shape1-indices1-indptr1-4] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices0-indptr0-None] PASSED [ 95%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices0-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices0-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices0-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices1-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices1-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices1-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[None-indices1-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices0-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices0-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices0-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices0-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices1-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices1-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices1-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_from_csc[shape1-indices1-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_dense[3] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_dense[val_shape1] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices0-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices0-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices0-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices0-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices1-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices1-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices1-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[None-indices1-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices0-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices0-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices0-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices0-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices1-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices1-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices1-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_coo[shape1-indices1-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices0-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices0-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices0-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices0-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices1-indptr0-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices1-indptr0-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices1-indptr1-None] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[None-indices1-indptr1-4] PASSED [ 96%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices0-indptr0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices0-indptr0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices0-indptr1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices0-indptr1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices1-indptr0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices1-indptr0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices1-indptr1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_coo[shape1-indices1-indptr1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col0-row0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col0-row0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col0-row1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col0-row1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col1-row0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col1-row0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col1-row1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[None-col1-row1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col0-row0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col0-row0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col0-row1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col0-row1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col1-row0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col1-row0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col1-row1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape1-col1-row1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col0-row0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col0-row0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col0-row1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col0-row1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col1-row0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col1-row0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col1-row1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csr[shape2-col1-row1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices0-indptr0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices0-indptr0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices0-indptr1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices0-indptr1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices1-indptr0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices1-indptr0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices1-indptr1-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[None-indices1-indptr1-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices0-indptr0-None] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices0-indptr0-4] PASSED [ 97%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices0-indptr1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices0-indptr1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices1-indptr0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices1-indptr0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices1-indptr1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csc_to_csr[shape1-indices1-indptr1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col0-row0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col0-row0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col0-row1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col0-row1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col1-row0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col1-row0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col1-row1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[None-col1-row1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col0-row0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col0-row0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col0-row1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col0-row1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col1-row0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col1-row0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col1-row1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape1-col1-row1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col0-row0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col0-row0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col0-row1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col0-row1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col1-row0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col1-row0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col1-row1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_coo_to_csc[shape2-col1-row1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices0-indptr0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices0-indptr0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices0-indptr1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices0-indptr1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices1-indptr0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices1-indptr0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices1-indptr1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[None-indices1-indptr1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices0-indptr0-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices0-indptr0-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices0-indptr1-None] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices0-indptr1-4] PASSED [ 98%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices1-indptr0-None] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices1-indptr0-4] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices1-indptr1-None] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_csr_to_csc[shape1-indices1-indptr1-4] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_val_like[shape0-3] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_val_like[shape0-val_shape1] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_val_like[shape1-3] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_val_like[shape1-val_shape1] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_coalesce PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_has_duplicate PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_print PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_to_device[cpu] SKIPPED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_to_device[cuda] SKIPPED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_to_dtype[dtype0] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_to_dtype[dtype1] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_to_dtype[dtype2] PASSED [ 99%] tests/pytorch/sparse/test_sparse_matrix.py::test_to_dtype[dtype3] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape0] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_diag_matrix_transpose[None-val_shape1] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape0] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape1-val_shape1] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape0] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_diag_matrix_transpose[mat_shape2-val_shape1] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row0-2] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col0-row1-2] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row0-2] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape0-col1-row1-2] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row0-2] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col0-row1-2] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row0-2] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-None] PASSED [ 99%] tests/pytorch/sparse/test_transpose.py::test_sparse_matrix_transpose[extra_shape1-col1-row1-2] PASSED [ 99%] tests/pytorch/sparse/test_unary_op_diag.py::test_neg PASSED [ 99%] tests/pytorch/sparse/test_unary_op_diag.py::test_inv PASSED [ 99%] tests/pytorch/sparse/test_unary_op_sp.py::test_neg PASSED [100%] =============================== warnings summary =============================== tests/pytorch/test_dataloader.py: 86 warnings tests/pytorch/test_nn.py: 2 warnings /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/dataloading/dataloader.py:869: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html]) dgl_warning(f'Dataloader CPU affinity opt is not enabled, consider switching it on ' tests/pytorch/test_nn.py: 11 warnings tests/pytorch/test_pickle.py: 1 warning /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/pytorch/test_nn.py::test_dense_cheb_conv[1] tests/pytorch/test_nn.py::test_dense_cheb_conv[2] /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/pytorch/test_nn.py::test_dgn_conv[16-2.5-scalers0-aggregators0-32-16] /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/backend/pytorch/tensor.py:52: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at ../aten/src/ATen/native/Copy.cpp:250.) return th.as_tensor(data, dtype=dtype) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4483@6/pytest_backend.xml - ============================ slowest 100 durations ============================= 250.02s call tests/pytorch/sparse/test_example.py::test_twirls 51.57s call tests/pytorch/sparse/test_example.py::test_gcnii 21.52s call tests/pytorch/test_dist_optim.py::test_sparse_opt 15.87s call tests/pytorch/test_nn.py::test_heterognnexplainer[2-5-idtype0-g0] 14.33s call tests/pytorch/sparse/test_example.py::test_hgnn 11.69s call tests/pytorch/sparse/test_example.py::test_hypergraphatt 5.41s call tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] 5.22s call tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] 4.46s call tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] 4.27s call tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] 3.90s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 3.89s call tests/pytorch/sparse/test_example.py::test_gat 3.49s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 3.40s call tests/pytorch/sparse/test_example.py::test_appnp 3.23s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 3.15s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 3.12s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 3.10s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 3.09s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 3.06s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 3.06s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 3.02s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 2.83s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 2.73s call tests/pytorch/sparse/test_example.py::test_sign 2.65s call tests/pytorch/sparse/test_example.py::test_gcn 2.23s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 2.00s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 1.94s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 1.87s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 1.83s call tests/pytorch/test_nn.py::test_heterognnexplainer[1-5-idtype0-g0] 1.72s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 1.66s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] 1.65s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] 1.55s call tests/pytorch/test_dataloader.py::test_saint[node-4] 1.51s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 1.46s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] 1.34s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 1.33s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 1.30s call tests/pytorch/test_ipc.py::test_torch_ipc 1.28s call tests/pytorch/sparse/test_example.py::test_sgc 1.25s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 1.23s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 1.19s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 1.11s call tests/pytorch/sparse/test_example.py::test_c_and_s 1.11s call tests/pytorch/test_dataloader.py::test_cluster_gcn[4] 1.10s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 1.10s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 1.09s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 1.05s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 1.05s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 1.04s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 1.04s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 1.03s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 1.03s call tests/pytorch/test_dataloader.py::test_shadow[4] 0.96s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] 0.90s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype1] 0.86s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype1] 0.86s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype0] 0.81s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-True-cpu-idtype0] 0.80s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-32] 0.80s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] 0.78s call tests/pytorch/test_dataloader.py::test_shadow[0] 0.77s call tests/pytorch/test_dataloader.py::test_saint[edge-0] 0.76s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-True-cpu-idtype1] 0.76s call tests/pytorch/test_dataloader.py::test_saint[node-0] 0.75s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-False-cpu-idtype0] 0.74s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype0] 0.73s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] 0.72s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-16] 0.71s call tests/pytorch/test_dataloader.py::test_cluster_gcn[0] 0.70s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-False-cpu-idtype1] 0.70s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-16] 0.69s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-16] 0.67s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] 0.67s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] 0.64s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] 0.64s call tests/pytorch/test_dataloader.py::test_saint[walk-0] 0.63s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] 0.59s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] 0.57s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-16] 0.57s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-32] 0.55s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-16] 0.53s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers1-aggregators1-16-16] 0.53s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] 0.53s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-16] 0.52s call tests/pytorch/test_nn.py::test_set_trans 0.51s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] 0.51s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] 0.51s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] 0.49s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-16] 0.49s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-16] 0.49s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] 0.49s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-32] 0.48s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] 0.48s call tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] 0.47s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] 0.47s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype1] 0.47s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] 0.47s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] 0.46s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] ========= 3800 passed, 372 skipped, 103 warnings in 631.17s (0:10:31) ========== [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU Example test) [Pipeline] sh + rm -rf BA-2motifs BA-2motifs-as-graphpred BA-2motifs.pkl BA-COMMUNITY BA-SHAPES CMakeLists.txt CONTRIBUTORS.md DD DD-as-graphpred DD.zip GINDataset GINDataset.zip IMDBBINARY IMDBMULTI Jenkinsfile LICENSE MUTAG MUTAG-as-graphpred NEWS.md PROTEINS PTC README.md TREE-CYCLES TREE-GRIDS ZINC_test ZINC_test.zip aifb-hetero aifb-hetero-as-nodepred aifb-hetero.zip amazon amazon.zip amazon_co_buy_computer amazon_co_buy_computer-as-nodepred amazon_co_buy_computer.zip amazon_co_buy_photo amazon_co_buy_photo.zip apps benchmarks build citeseer citeseer.zip cluster_gcn.pkl cmake coauthor_cs coauthor_cs.zip coauthor_physics coauthor_physics.zip conda cora_full cora_full.zip cora_v2 cora_v2-as-linkpred cora_v2.zip dataset default_name-as-nodepred dgl_sparse dglgo docker docs examples featgraph flickr flickr.zip gossipcop gossipcop.zip include minigc ogbg-molhiv-as-graphpred ogbl-collab-as-linkpred ogbn-arxiv-as-nodepred optim_ip_config.txt politifact politifact-as-graphpred politifact.zip pubmed pubmed.zip pyproject.toml pytest_backend.xml pytest_compute.xml python qm7b qm7b-as-graphpred qm7b.mat qm9-as-graphpred qm9Edge-as-graphpred qm9_eV.npz qm9_edge.npz readthedocs.yml reddit reddit.zip src tensoradapter tests third_party tools tutorials wiki_cs wiki_cs.zip yelp yelp.zip [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@5868d762; decorates RemoteLauncher[hudson.remoting.Channel@653504b6:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483@6/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so, build/dgl_sparse/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_example_test.sh cpu /root/jenkins/workspace/dgl_PR-4483@6/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tensor([0.0050, 0.0111, 0.0126, 0.0097, 0.0067, 0.0067, 0.0050, 0.0113, 0.0114, 0.0061, 0.0039, 0.0100, 0.0115, 0.0053, 0.0185, 0.0150, 0.0015, 0.0083, 0.0116, 0.0132, 0.0148, 0.0097, 0.0053, 0.0131, 0.0113, 0.0137, 0.0055, 0.0047, 0.0111, 0.0086, 0.0082, 0.0068, 0.0084, 0.0072, 0.0143, 0.0149, 0.0099, 0.0088, 0.0102, 0.0116, 0.0083, 0.0116, 0.0103, 0.0053, 0.0122, 0.0118, 0.0048, 0.0064, 0.0099, 0.0114, 0.0122, 0.0098, 0.0101, 0.0143, 0.0070, 0.0145, 0.0146, 0.0121, 0.0051, 0.0105, 0.0149, 0.0049, 0.0086, 0.0081, 0.0051, 0.0097, 0.0131, 0.0069, 0.0142, 0.0050, 0.0148, 0.0130, 0.0068, 0.0063, 0.0091, 0.0077, 0.0143, 0.0136, 0.0068, 0.0094, 0.0053, 0.0049, 0.0177, 0.0103, 0.0066, 0.0093, 0.0099, 0.0073, 0.0112, 0.0120, 0.0115, 0.0095, 0.0199, 0.0162, 0.0128, 0.0121, 0.0119, 0.0065, 0.0113, 0.0079]) Training with DGL built-in GraphConv module. Downloading /root/jenkins/workspace/dgl_PR-4483@6/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4483@6/cora_v2 Finished data loading and preprocessing. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done saving data into cached files. Training... Epoch 00000 | Loss 1.9456 | Accuracy 0.4020 Epoch 00001 | Loss 1.9386 | Accuracy 0.3220 Epoch 00002 | Loss 1.9298 | Accuracy 0.4340 Epoch 00003 | Loss 1.9185 | Accuracy 0.5420 Epoch 00004 | Loss 1.9116 | Accuracy 0.5400 Epoch 00005 | Loss 1.9001 | Accuracy 0.5320 Epoch 00006 | Loss 1.8923 | Accuracy 0.5120 Epoch 00007 | Loss 1.8748 | Accuracy 0.4980 Epoch 00008 | Loss 1.8654 | Accuracy 0.5100 Epoch 00009 | Loss 1.8504 | Accuracy 0.5580 Epoch 00010 | Loss 1.8388 | Accuracy 0.6200 Epoch 00011 | Loss 1.8256 | Accuracy 0.6600 Epoch 00012 | Loss 1.8133 | Accuracy 0.6880 Epoch 00013 | Loss 1.8003 | Accuracy 0.7080 Epoch 00014 | Loss 1.7851 | Accuracy 0.7140 Epoch 00015 | Loss 1.7522 | Accuracy 0.7140 Epoch 00016 | Loss 1.7438 | Accuracy 0.7220 Epoch 00017 | Loss 1.7180 | Accuracy 0.7280 Epoch 00018 | Loss 1.7013 | Accuracy 0.7200 Epoch 00019 | Loss 1.7039 | Accuracy 0.7020 Epoch 00020 | Loss 1.6859 | Accuracy 0.7020 Epoch 00021 | Loss 1.6650 | Accuracy 0.7040 Epoch 00022 | Loss 1.6358 | Accuracy 0.7000 Epoch 00023 | Loss 1.6151 | Accuracy 0.7100 Epoch 00024 | Loss 1.6065 | Accuracy 0.7180 Epoch 00025 | Loss 1.5915 | Accuracy 0.7180 Epoch 00026 | Loss 1.5497 | Accuracy 0.7180 Epoch 00027 | Loss 1.5148 | Accuracy 0.7240 Epoch 00028 | Loss 1.5192 | Accuracy 0.7280 Epoch 00029 | Loss 1.5024 | Accuracy 0.7180 Epoch 00030 | Loss 1.4464 | Accuracy 0.7160 Epoch 00031 | Loss 1.4211 | Accuracy 0.7180 Epoch 00032 | Loss 1.3979 | Accuracy 0.7240 Epoch 00033 | Loss 1.4183 | Accuracy 0.7260 Epoch 00034 | Loss 1.3635 | Accuracy 0.7260 Epoch 00035 | Loss 1.3547 | Accuracy 0.7300 Epoch 00036 | Loss 1.3360 | Accuracy 0.7320 Epoch 00037 | Loss 1.3050 | Accuracy 0.7300 Epoch 00038 | Loss 1.3062 | Accuracy 0.7340 Epoch 00039 | Loss 1.2651 | Accuracy 0.7340 Epoch 00040 | Loss 1.2109 | Accuracy 0.7320 Epoch 00041 | Loss 1.2201 | Accuracy 0.7300 Epoch 00042 | Loss 1.1950 | Accuracy 0.7320 Epoch 00043 | Loss 1.1834 | Accuracy 0.7360 Epoch 00044 | Loss 1.1838 | Accuracy 0.7400 Epoch 00045 | Loss 1.1105 | Accuracy 0.7400 Epoch 00046 | Loss 1.0659 | Accuracy 0.7440 Epoch 00047 | Loss 1.1206 | Accuracy 0.7420 Epoch 00048 | Loss 1.0784 | Accuracy 0.7520 Epoch 00049 | Loss 1.0448 | Accuracy 0.7540 Epoch 00050 | Loss 1.0124 | Accuracy 0.7540 Epoch 00051 | Loss 0.9730 | Accuracy 0.7540 Epoch 00052 | Loss 0.9793 | Accuracy 0.7540 Epoch 00053 | Loss 0.9453 | Accuracy 0.7440 Epoch 00054 | Loss 0.9290 | Accuracy 0.7420 Epoch 00055 | Loss 0.9125 | Accuracy 0.7480 Epoch 00056 | Loss 0.9341 | Accuracy 0.7520 Epoch 00057 | Loss 0.9272 | Accuracy 0.7580 Epoch 00058 | Loss 0.8840 | Accuracy 0.7600 Epoch 00059 | Loss 0.8785 | Accuracy 0.7580 Epoch 00060 | Loss 0.8342 | Accuracy 0.7560 Epoch 00061 | Loss 0.8362 | Accuracy 0.7580 Epoch 00062 | Loss 0.7835 | Accuracy 0.7640 Epoch 00063 | Loss 0.8000 | Accuracy 0.7600 Epoch 00064 | Loss 0.7819 | Accuracy 0.7560 Epoch 00065 | Loss 0.7385 | Accuracy 0.7580 Epoch 00066 | Loss 0.7655 | Accuracy 0.7580 Epoch 00067 | Loss 0.7095 | Accuracy 0.7600 Epoch 00068 | Loss 0.7699 | Accuracy 0.7600 Epoch 00069 | Loss 0.7053 | Accuracy 0.7620 Epoch 00070 | Loss 0.6963 | Accuracy 0.7680 Epoch 00071 | Loss 0.6723 | Accuracy 0.7680 Epoch 00072 | Loss 0.7016 | Accuracy 0.7680 Epoch 00073 | Loss 0.6594 | Accuracy 0.7700 Epoch 00074 | Loss 0.6605 | Accuracy 0.7720 Epoch 00075 | Loss 0.6283 | Accuracy 0.7760 Epoch 00076 | Loss 0.5994 | Accuracy 0.7760 Epoch 00077 | Loss 0.6551 | Accuracy 0.7740 Epoch 00078 | Loss 0.6729 | Accuracy 0.7740 Epoch 00079 | Loss 0.6188 | Accuracy 0.7740 Epoch 00080 | Loss 0.6060 | Accuracy 0.7740 Epoch 00081 | Loss 0.6096 | Accuracy 0.7740 Epoch 00082 | Loss 0.6109 | Accuracy 0.7700 Epoch 00083 | Loss 0.5953 | Accuracy 0.7580 Epoch 00084 | Loss 0.5784 | Accuracy 0.7620 Epoch 00085 | Loss 0.5937 | Accuracy 0.7660 Epoch 00086 | Loss 0.5712 | Accuracy 0.7740 Epoch 00087 | Loss 0.5573 | Accuracy 0.7760 Epoch 00088 | Loss 0.5640 | Accuracy 0.7780 Epoch 00089 | Loss 0.5723 | Accuracy 0.7780 Epoch 00090 | Loss 0.5390 | Accuracy 0.7780 Epoch 00091 | Loss 0.5378 | Accuracy 0.7760 Epoch 00092 | Loss 0.5380 | Accuracy 0.7720 Epoch 00093 | Loss 0.5195 | Accuracy 0.7660 Epoch 00094 | Loss 0.5225 | Accuracy 0.7700 Epoch 00095 | Loss 0.5208 | Accuracy 0.7720 Epoch 00096 | Loss 0.5156 | Accuracy 0.7720 Epoch 00097 | Loss 0.5488 | Accuracy 0.7720 Epoch 00098 | Loss 0.4831 | Accuracy 0.7760 Epoch 00099 | Loss 0.4936 | Accuracy 0.7760 Epoch 00100 | Loss 0.5204 | Accuracy 0.7780 Epoch 00101 | Loss 0.5024 | Accuracy 0.7800 Epoch 00102 | Loss 0.4629 | Accuracy 0.7760 Epoch 00103 | Loss 0.4912 | Accuracy 0.7760 Epoch 00104 | Loss 0.4588 | Accuracy 0.7780 Epoch 00105 | Loss 0.4910 | Accuracy 0.7800 Epoch 00106 | Loss 0.4313 | Accuracy 0.7780 Epoch 00107 | Loss 0.5058 | Accuracy 0.7760 Epoch 00108 | Loss 0.4803 | Accuracy 0.7760 Epoch 00109 | Loss 0.4730 | Accuracy 0.7720 Epoch 00110 | Loss 0.4570 | Accuracy 0.7720 Epoch 00111 | Loss 0.4651 | Accuracy 0.7720 Epoch 00112 | Loss 0.4699 | Accuracy 0.7780 Epoch 00113 | Loss 0.4371 | Accuracy 0.7780 Epoch 00114 | Loss 0.4257 | Accuracy 0.7800 Epoch 00115 | Loss 0.4400 | Accuracy 0.7820 Epoch 00116 | Loss 0.4440 | Accuracy 0.7820 Epoch 00117 | Loss 0.4356 | Accuracy 0.7780 Epoch 00118 | Loss 0.4665 | Accuracy 0.7800 Epoch 00119 | Loss 0.4251 | Accuracy 0.7760 Epoch 00120 | Loss 0.4112 | Accuracy 0.7760 Epoch 00121 | Loss 0.4259 | Accuracy 0.7680 Epoch 00122 | Loss 0.4305 | Accuracy 0.7700 Epoch 00123 | Loss 0.4685 | Accuracy 0.7720 Epoch 00124 | Loss 0.4461 | Accuracy 0.7700 Epoch 00125 | Loss 0.4178 | Accuracy 0.7760 Epoch 00126 | Loss 0.4467 | Accuracy 0.7740 Epoch 00127 | Loss 0.4161 | Accuracy 0.7800 Epoch 00128 | Loss 0.3727 | Accuracy 0.7780 Epoch 00129 | Loss 0.4087 | Accuracy 0.7760 Epoch 00130 | Loss 0.4133 | Accuracy 0.7800 Epoch 00131 | Loss 0.4133 | Accuracy 0.7800 Epoch 00132 | Loss 0.3782 | Accuracy 0.7820 Epoch 00133 | Loss 0.4041 | Accuracy 0.7800 Epoch 00134 | Loss 0.3733 | Accuracy 0.7820 Epoch 00135 | Loss 0.3667 | Accuracy 0.7800 Epoch 00136 | Loss 0.4180 | Accuracy 0.7760 Epoch 00137 | Loss 0.3845 | Accuracy 0.7840 Epoch 00138 | Loss 0.3862 | Accuracy 0.7840 Epoch 00139 | Loss 0.3863 | Accuracy 0.7800 Epoch 00140 | Loss 0.3673 | Accuracy 0.7800 Epoch 00141 | Loss 0.3996 | Accuracy 0.7760 Epoch 00142 | Loss 0.3877 | Accuracy 0.7740 Epoch 00143 | Loss 0.3919 | Accuracy 0.7760 Epoch 00144 | Loss 0.3972 | Accuracy 0.7780 Epoch 00145 | Loss 0.3547 | Accuracy 0.7760 Epoch 00146 | Loss 0.3560 | Accuracy 0.7800 Epoch 00147 | Loss 0.3585 | Accuracy 0.7820 Epoch 00148 | Loss 0.3317 | Accuracy 0.7820 Epoch 00149 | Loss 0.3655 | Accuracy 0.7840 Epoch 00150 | Loss 0.3402 | Accuracy 0.7840 Epoch 00151 | Loss 0.3559 | Accuracy 0.7860 Epoch 00152 | Loss 0.3384 | Accuracy 0.7860 Epoch 00153 | Loss 0.3556 | Accuracy 0.7820 Epoch 00154 | Loss 0.3559 | Accuracy 0.7840 Epoch 00155 | Loss 0.3457 | Accuracy 0.7860 Epoch 00156 | Loss 0.3673 | Accuracy 0.7840 Epoch 00157 | Loss 0.3593 | Accuracy 0.7780 Epoch 00158 | Loss 0.3144 | Accuracy 0.7820 Epoch 00159 | Loss 0.3359 | Accuracy 0.7820 Epoch 00160 | Loss 0.3580 | Accuracy 0.7860 Epoch 00161 | Loss 0.3316 | Accuracy 0.7840 Epoch 00162 | Loss 0.3308 | Accuracy 0.7840 Epoch 00163 | Loss 0.3205 | Accuracy 0.7860 Epoch 00164 | Loss 0.3344 | Accuracy 0.7840 Epoch 00165 | Loss 0.3469 | Accuracy 0.7860 Epoch 00166 | Loss 0.3322 | Accuracy 0.7880 Epoch 00167 | Loss 0.3468 | Accuracy 0.7860 Epoch 00168 | Loss 0.3298 | Accuracy 0.7860 Epoch 00169 | Loss 0.3353 | Accuracy 0.7900 Epoch 00170 | Loss 0.3348 | Accuracy 0.7920 Epoch 00171 | Loss 0.3068 | Accuracy 0.7900 Epoch 00172 | Loss 0.3610 | Accuracy 0.7920 Epoch 00173 | Loss 0.3376 | Accuracy 0.7940 Epoch 00174 | Loss 0.3224 | Accuracy 0.7940 Epoch 00175 | Loss 0.3341 | Accuracy 0.7900 Epoch 00176 | Loss 0.3479 | Accuracy 0.7920 Epoch 00177 | Loss 0.3684 | Accuracy 0.7920 Epoch 00178 | Loss 0.3212 | Accuracy 0.7860 Epoch 00179 | Loss 0.3222 | Accuracy 0.7840 Epoch 00180 | Loss 0.3057 | Accuracy 0.7840 Epoch 00181 | Loss 0.3062 | Accuracy 0.7880 Epoch 00182 | Loss 0.3191 | Accuracy 0.7840 Epoch 00183 | Loss 0.3139 | Accuracy 0.7880 Epoch 00184 | Loss 0.3204 | Accuracy 0.7880 Epoch 00185 | Loss 0.2899 | Accuracy 0.7880 Epoch 00186 | Loss 0.3217 | Accuracy 0.7860 Epoch 00187 | Loss 0.3018 | Accuracy 0.7840 Epoch 00188 | Loss 0.2883 | Accuracy 0.7840 Epoch 00189 | Loss 0.3334 | Accuracy 0.7820 Epoch 00190 | Loss 0.3266 | Accuracy 0.7820 Epoch 00191 | Loss 0.2900 | Accuracy 0.7820 Epoch 00192 | Loss 0.3007 | Accuracy 0.7820 Epoch 00193 | Loss 0.2766 | Accuracy 0.7840 Epoch 00194 | Loss 0.3267 | Accuracy 0.7840 Epoch 00195 | Loss 0.2783 | Accuracy 0.7860 Epoch 00196 | Loss 0.3017 | Accuracy 0.7840 Epoch 00197 | Loss 0.2802 | Accuracy 0.7860 Epoch 00198 | Loss 0.2958 | Accuracy 0.7840 Epoch 00199 | Loss 0.2989 | Accuracy 0.7840 Testing... Test accuracy 0.8160 lda/lda_model.py:38: UserWarning: cached_property not found - using property instead warnings.warn("cached_property not found - using property instead") Testing LatentDirichletAllocation ... {'prior': {'doc': 0.1, 'word': 0.1}, 'rho': 1, 'mult': {'doc': 1, 'word': 1}, 'init': {'doc': (100.0, 100.0), 'word': (100.0, 100.0)}, 'word_data': [tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00, 6.1493e-06, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5725e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5621e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5621e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5621e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5621e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5621e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5621e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 9.9963e-01, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5621e-05, 0.0000e+00]])]} Testing LatentDirichletAllocation passed! [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU Tutorial test) [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks build cmake conda cora_v2 cora_v2.zip dgl_sparse dglgo docker docs examples featgraph include pyproject.toml python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 150de63f-189c-4717-bcaf-010460d2f51a Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@5320466f; decorates RemoteLauncher[hudson.remoting.Channel@653504b6:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit e296c468b2962339fdc94300e41608dc82508e3d into PR head commit a795f5207080927e4acec344334b8b2775e45e3d Merge succeeded, producing a795f5207080927e4acec344334b8b2775e45e3d Checking out Revision a795f5207080927e4acec344334b8b2775e45e3d (PR-4483) Commit message: "revert the test code being reverted in #4956" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4483@6/.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.17.1' using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4483/head:refs/remotes/origin/PR-4483 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials dgl-bot-personal-access-key220906 > git merge e296c468b2962339fdc94300e41608dc82508e3d # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4483 # timeout=10 > git checkout -b PR-4483 a795f5207080927e4acec344334b8b2775e45e3d # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'e2bdd3bee8cb6501558042633fa59144cc8b7f5f' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/pcg': checked out '428802d1a5634f96bcd0705fab379ff0113bcf13' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so, build/dgl_sparse/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_pytorch_tutorial_test.sh Requirement already satisfied: networkx>=2.1 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 1)) (2.6.3) Requirement already satisfied: torch in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (1.12.0+cpu) Requirement already satisfied: numpy in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (1.21.6) Collecting seaborn Downloading seaborn-0.12.2-py3-none-any.whl (293 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 293.3/293.3 kB 8.2 MB/s eta 0:00:00 Requirement already satisfied: matplotlib in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (3.5.3) Collecting pygraphviz Downloading pygraphviz-1.7.zip (118 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 118.8/118.8 kB 16.9 MB/s eta 0:00:00 Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Collecting graphviz Downloading graphviz-0.20.1-py3-none-any.whl (47 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 47.0/47.0 kB 7.1 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (1.1.5) Requirement already satisfied: rdflib in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (6.2.0) Requirement already satisfied: typing-extensions in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from torch->-r requirements.txt (line 2)) (4.4.0) Requirement already satisfied: python-dateutil>=2.7 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (2.8.2) Requirement already satisfied: pillow>=6.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (9.3.0) Requirement already satisfied: cycler>=0.10 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (0.11.0) Requirement already satisfied: pyparsing>=2.2.1 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (3.0.9) Requirement already satisfied: packaging>=20.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (22.0) Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (1.4.4) Requirement already satisfied: fonttools>=4.22.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from matplotlib->-r requirements.txt (line 5)) (4.38.0) Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas->-r requirements.txt (line 8)) (2022.6) Requirement already satisfied: importlib-metadata in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib->-r requirements.txt (line 9)) (5.1.0) Requirement already satisfied: isodate in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib->-r requirements.txt (line 9)) (0.6.1) Requirement already satisfied: setuptools in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib->-r requirements.txt (line 9)) (65.5.0) Requirement already satisfied: six>=1.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from python-dateutil>=2.7->matplotlib->-r requirements.txt (line 5)) (1.16.0) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from importlib-metadata->rdflib->-r requirements.txt (line 9)) (3.11.0) Building wheels for collected packages: pygraphviz Building wheel for pygraphviz (setup.py): started Building wheel for pygraphviz (setup.py): finished with status 'done' Created wheel for pygraphviz: filename=pygraphviz-1.7-cp37-cp37m-linux_x86_64.whl size=199330 sha256=577c6f121e30a9aff0a9172a428e177dee77c40e2fc13a89c8318c14433cf3db Stored in directory: /root/.cache/pip/wheels/bd/f8/1e/70c8130ebd7df10c3488384285ba59532571251ac8ac5c922a Successfully built pygraphviz Installing collected packages: pygraphviz, graphviz, seaborn Successfully installed graphviz-0.20.1 pygraphviz-1.7 seaborn-0.12.2 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv Running tutorial ./multi/2_node_classification.py ... Downloading http://snap.stanford.edu/ogb/data/nodeproppred/arxiv.zip 0%| | 0/81 [00:00